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Sixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on‐demand edge cloud services in three‐dimensional (3D) space, by incorporating mobile edge computing (MEC) functionalities on aerial platforms and low‐orbit satellites. This will extend the MEC support to devices and network elements in the sky and forge a space‐borne MEC, enabling intelligent, personalized, and distributed on‐demand services. End users will experience the impression of being surrounded by a distributed computer, fulfilling their requests with apparently zero latency. In this paper, we consider an architecture that provides communication, computation, and caching (C3) services on demand, anytime, and everywhere in 3D space, integrating conventional ground (terrestrial) base stations and flying (non‐terrestrial) nodes. Given the complexity of the overall network, the C3 resources and management of aerial devices need to be jointly orchestrated via artificial intelligence‐based algorithms, exploiting virtualized network functions dynamically deployed in a distributed manner across terrestrial and non‐terrestrial nodes. [ABSTRACT FROM AUTHOR]

Abstract: Open Dialogue is a resource‐oriented approach to mental health care that originated in Finland. As Open Dialogue has been adopted across diverse international healthcare settings, it has been adapted according to contextual factors. One important development in Open Dialogue has been the incorporation of paid, formal peer work. Peer work draws on the knowledge and wisdom gained through lived experience of distress and hardship to establish mutual, reciprocal, and supportive relationships with service users. As Open Dialogue is now being implemented across mental health services in Australia, stakeholders are beginning to consider the role that peer workers might have in this model of care. Open Dialogue was not, initially, conceived to include a specific role for peers, and there is little available literature, and even less empirical research, in this area. This discussion paper aims to surface some of the current debates and ideas about peer work in Open Dialogue. Examples and models of peer work in Open Dialogue are examined, and the potential benefits and challenges of adopting this approach in health services are discussed. Peer work in Open Dialogue could potentially foster democracy and disrupt clinical hierarchies, but could also move peer work from reciprocal to a less symmetrical relationship of ‘giver’ and ‘receiver’ of care. Other models of care, such as lived experience practitioners in Open Dialogue, can be conceived. However, it remains uncertain whether the hierarchical structures in healthcare and current models of funding would support any such models. [ABSTRACT FROM AUTHOR]

Based on literature analysis, X‐ray photoelectron spectroscopy (XPS) use continues to increase exponentially. This increased use is accompanied by anecdotal reports and systematic analyses indicating a growing presence of significantly flawed data analyses. Recognition of this problem within the surface analysis community has increased with an understanding that both inexperienced users and increased use of XPS outside the surface analysis community contribute to the problem. The XPS community has initiated several efforts to help address the problem, which is not unique to XPS. This paper describes some of the specific problems identified and some of the community efforts intended to address them. Here, we describe activities focused on three specific issues: (i) requests for detailed guides and protocols and bite‐sized versions of information for non‐experts, (ii) incomplete data and analysis reporting, and (iii) the high rate of peak fitting problems. A 2019 survey identified the need for guides, protocols, and standards to assist XPS users. One set of such guides has been published, and another is being assembled. Providing incremental bites of useful information is the goal of a series of papers on specific challenges to surface analysis with example solutions has been initiated as Notes and Insights papers in Surface and Interface Analysis. Examination of XPS‐containing papers finds that information to establish the credibility and reproducibility of XPS results is often very incomplete. Unfortunately, ISO and ASTM standards require an amount of parameter reporting that seems excessive and unrealistic for many research publications. Initial approaches to develop and distribute a graded approach to parameter reporting are briefly described. Multiple efforts are underway to address the high rate of problems associated with photoelectron peak fitting. These include guides to peak fitting, guides to peak identification and fitting for specific elements, and the development of a peak fitting social network. The fitting social network is designed to facilitate interactions between new and experienced XPS users; analysts trying to fit XPS data (for publication or other reasons) can ask questions and establish dynamic conversations. Encouraging and enabling high‐quality XPS analysis and reporting requires several different types of effort from all members of the surface and interface analysis community. [ABSTRACT FROM AUTHOR]

Social tagging and controlled indexing both facilitate access to information resources. Given the increasing popularity of social tagging and the limitations of controlled indexing (primarily cost and scalability), it is reasonable to investigate to what degree social tagging could substitute for controlled indexing. In this study, we compared CiteULike tags to Medical Subject Headings ( MeSH) terms for 231,388 citations indexed in MEDLINE. In addition to descriptive analyses of the data sets, we present a paper-by-paper analysis of tags and MeSH terms: the number of common annotations, Jaccard similarity, and coverage ratio. In the analysis, we apply three increasingly progressive levels of text processing, ranging from normalization to stemming, to reduce the impact of lexical differences. Annotations of our corpus consisted of over 76,968 distinct tags and 21,129 distinct MeSH terms. The top 20 tags/MeSH terms showed little direct overlap. On a paper-by-paper basis, the number of common annotations ranged from 0.29 to 0.5 and the Jaccard similarity from 2.12% to 3.3% using increased levels of text processing. At most, 77,834 citations (33.6%) shared at least one annotation. Our results show that CiteULike tags and MeSH terms are quite distinct lexically, reflecting different viewpoints/processes between social tagging and controlled indexing. [ABSTRACT FROM AUTHOR]

Movements of psychologists with a liberatory agenda have emerged in a number of countries. A guide and overview is offered here. These networks have not yet developed into a particularly strong movement. Some of the reasons for this will be discussed in relation to the contradictory role of mainstream psychology as both loyal critic and as resource for the ruling order. Copyright © 2004 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Comments on an article which offered a perspective on a network society formed by the interaction between information technology and the society. Interpretation to the proposed perspective; Identification of problems associated with the art of living together in metropolitan regions; Recommendations.

The purpose of this research was to explore adolescents' feeling of unsafety associated with living in the urban context, their perceptions of the quality of social relations (social support from different persons) and sense of community, and the differences according to the size of the city and adolescent gender. A second aim was to analyse the antecedents of feeling of unsafety. In particular, we considered the influence of sense of community, perception of social support and personal involvement in negative experiences in the urban environment. A questionnaire was submitted to 823 adolescents aged 14 to 19 years (43.3% male and 56.7% female), living in cities of different sizes in north-central Italy. Results show the presence of differences in feeling of unsafety and sense of community according to the size of the urban context and adolescent gender. Personal involvement in negative situations is a strong predictor of feeling of unsafety, whereas sense of community plays a limited role in reducing it. The picture concerning the effect of social support is mixed. Copyright © 2001 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

This paper summarises and discusses some of the aspects of the Public Health White Paper, Healthy Lives, Healthy People, published for consultation at the end of 2010, and the framework of the Public Health Responsibility Deal, published in March 2011 by the UK government. Healthy Lives, Healthy People emphasises that a one-size-fits-all approach to public health improvement has been shown not to work as challenges vary from one neighbourhood to the next, and a new approach that empowers individuals to make healthy choices and gives communities the tools to address their own needs is required. It highlights the government's intention to shift power and decision making on public health matters to local authorities, with ring fenced budgets. A feature of the document that has proved controversial is the proposal to work collaboratively with business and the voluntary sector to deliver the government's ambition, through the Public Health Responsibility Deal, launched on 15 March, which comprises a series of 5 networks on food, alcohol, physical activity, health at work, and behaviour change, and the associated pledges. The initial pledges for the food network focus on salt and trans fatty acid reduction, and out-of-home calorie labelling of foods. [ABSTRACT FROM AUTHOR]

The escalating burden of lifestyle‐related diseases stands as a critical global public health challenge, contributing substantially to the prevalence of chronic conditions and a large portion of premature mortality. Despite this, concise evidence‐based lifestyle interventions targeting physical inactivity, nutrition, alcohol and smoking continue to be underutilised. Although good evidence exists for addressing the four lifestyle‐related risk factors independently, rarely do these present in isolation. Evidence is lacking regarding how to integrate interventions targeting multiple risk factors. Consequently, this paper aims to provide an overview of the evidence for delivering multiple interventions in primary healthcare settings. Different lifestyle factors are inter‐related, with decisions around ordering of the delivery of multiple lifestyle interventions an important consideration. There is evidence supporting the effectiveness of addressing some lifestyle factors simultaneously (e.g., physical activity and nutrition), although smoking cessation may be delivered best in a sequential approach. While the World Health Organisation highlights four key lifestyle factors (nutrition, physical activity, alcohol and smoking), incorporating additional elements such as sleep, mental well‐being and social connectedness offers a holistic framework for promoting well‐being. Despite the presentation of multiple behaviour risk factors being commonplace in healthcare settings, the evidence (outlined in the paper) for how best to deliver interventions to address this is limited, with further research and subsequent clinical guidance required. In order to address the barriers to delivering lifestyle interventions in primary care, innovation will be required. The use of non‐medical personnel, social prescribers and health coaches has the potential to alleviate time constraints, whilst mounting evidence exists for group consultations for addressing lifestyle‐related non‐communicable diseases (NCDs). If the challenges to implementation can be addressed, and if healthcare systems can adapt for the promotion of healthy lifestyles, the impact of NCDs can be mitigated. [ABSTRACT FROM AUTHOR]

By design, Facebook is a social networking facility. The writer, as a part-time teacher in management subjects, adapted his Facebook account into an e-learning facility to support his students in business studies. This paper reviews the current venture by the writer of using Facebook-based e-learning system to support his students. Seventeen academic forums on various management subjects have been set up to provide the learning resources to students on a virtual basis. Such forums are also intended to foster interdisciplinary and transdisciplinary learning and research by their users. The experience of this e-learning system venture is reflected on in terms of a few contemporary systems thinking notions in general and in terms of the Multi-perspective, Systems-based (MPSB) thinking in particular. The MPSB research was mainly conducted in the mid-1990 by the writer and was reported in refereed journals at that time. The present research paper provides an illustration on one of the MPSB concepts, known as 'Enlightening management education'-a concept that was least discussed in the published MPSB research. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

This study proposes an approach for visualizing knowledge structures that creates a 'research-focused parallelship network,' 'keyword co-occurrence network,' and a knowledge map to visualize Sci-Tech policy research structure. A total of 1,125 Sci-Tech policy-related papers (873 journal papers [78%], 205 conference papers [18%], and 47 review papers [4%]) have been retrieved from the Web of Science database for quantitative analysis and mapping. Different network and contour maps based on these 1,125 papers can be constructed by choosing different information as the main actor, such as the paper title, the institute, the country, or the author keywords, to reflect Sci-Tech policy research structures in micro-, meso-, and macro-levels, respectively. The quantitative way of exploring Sci-Tech policy research papers is investigated to unveil important or emerging Sci-Tech policy implications as well as to demonstrate the dynamics and visualization of the evolution of Sci-Tech policy research. [ABSTRACT FROM AUTHOR]

This paper examines blockades not as disruptions in logistical circulations, but as entities which aim to reorient and produce different political and social processes. Inspired by Deleuzean conceptualisations of assemblage, this paper emphasises the ways blockades and occupations arise from globe‐spanning networks of social relations which then attempt to produce alternative regimes of governance through reorienting places and their topologies of interconnection. To make these points, this paper engages with three case studies which highlight different kinds of blockades. One example focuses on the regional scale where US military interests have expressed concern over potential blockades of Sea Lines of Communication due to the rising geopolitical and economic influence of China in the island Pacific. The second example focuses on blockades at the construction site of a US military base on the coast of Henoko, Okinawa. The third example examines blockade protests by Kanaka Maoli kia'i (protectors) on Maunakea in Hawai'i. [ABSTRACT FROM AUTHOR]

Research Summary: This paper uses formal modeling and simulation to develop a more robust theory of how entrepreneurs gain access to human capital resources through their strong and weak social network ties. Whereas prior work focuses on the informational context in which an endeavor operates (i.e., is it risky or uncertain), the models developed in this paper introduce untested assumptions implicit in prior work regarding strong tie superiority, the effects of social media, and human capital heterogeneity. Through a series of simulation analyses, the paper explores a broad range of values for these alternative assumptions and identifies the conditions under which strong and weak ties are the most likely source of human capital for entrepreneurial endeavors. Managerial Summary: Entrepreneurs often need to enlist the support of others to achieve their objectives. This paper develops a better understanding of how entrepreneurs can access the human capital their endeavors require through their social network ties. The paper explores a broad range of conditions to identify when an entrepreneur's strong social network ties are the most likely source of human capital—and when the entrepreneur's weak ties are the most likely source. This paper challenges the assumption that strong ties have an inherent advantage over weak ties in entrepreneurial settings, investigates the impact of social media networks, and highlights the challenges entrepreneurs face when attempting to enlist the support of individuals with different types of human capital. [ABSTRACT FROM AUTHOR]

ABSTRACT Intimate partner violence (IPV) transcends cultural, social and economic boundaries, affecting countless individuals globally. Recovery for IPV survivors is supported by their social networks, yet the readiness of these networks is often poorly understood. This perspective paper proposes an extension to existing network‐oriented IPV support models by integrating a focus on the readiness and well‐being of informal supporters towards the goal of enhancing IPV survivor recovery through effective networks. This paper presents the extended social network‐oriented support model, incorporating the Informal Supporter Readiness Inventory. This tool assesses the readiness of informal supporters, incorporating factors, such as normative and individual beliefs about IPV, and context‐specific factors, to enable identification and targeted assistance where needed. Additionally, the proposed model emphasises the importance of supporting the well‐being of informal supporters, who frequently endure elevated levels of stress, anxiety and depression. By integrating these elements, the extended social network‐oriented support model is designed to help professional supporters foster resilient and sustainable support networks for IPV survivors, with potential applicability across various healthcare disciplines. The extended model underscores the necessity of assessing and fostering both the readiness and well‐being of informal supporters to enhance the recovery journey for IPV survivors. [ABSTRACT FROM AUTHOR]

This article is a comment on a previous paper about social learning on networks. The comment corrects a proposition in the original paper, stating that the condition for imitation to be optimal is stronger than previously thought. However, this correction does not affect the other findings and conclusions of the original paper. The comment also discusses the implications of this correction, suggesting that it reduces the set of networks where a few dominant agents determine the beliefs of all network members. [Extracted from the article]

The article calls on individuals to submit research papers addressing issues about implementing mobile multimedia communications over heterogeneous infrastructure for realizing next-generation networking and computing. The cited topics include new emerging multimedia applications and architectures like wireless sensor system for video surveillance, video communication over next-generation networks, and emerging technologies for multimedia communications. Instructions on how to submit a research paper are also given.

Summary: Sentiment analysis can extract information from many text sources such as reviews, news, and blogs; then it classifies them based on their polarity. Moreover, big data is produced via mobile networks and social media. Applications of sentiment analysis on big data are used as a way of classifying the opinions into diverse sentiment. Accordingly, performing sentiment analysis on big data can be helpful for a business to take useful commercial insights from text‐oriented content. However, there are very few comprehensive investigations and profound argument in this context. The goal of this paper is to provide a comprehensive and systematic investigation of the state‐of‐the‐art techniques and highlight the directions for future research. In this paper, we used systematic literature review method and in the first step, we obtained 15 351 articles; then, based on different filters, 48 related articles were attained. We have selected 23 articles based on the year of publication, the relevance of the journal, the completeness of the text, the nonrepeatability of the title, and the page number. Also, we have categorized big data and sentiment analysis into two classifications: centralized and distributed platforms. Furthermore, the disadvantages and advantages of the investigated techniques are studied and their key issues are emphasized. Consequently, this study shows that a better analysis of textual big data in terms of sentiment increases efficiency, flexibility, and intelligence. By providing comparative information and analyzing the current developments in this area, this paper will directly support academics and practicing professionals for better handling of big data in the field of sentiment analysis. This study sheds some new light on using sentiment analysis and big data for public opinion estimation and prediction. [ABSTRACT FROM AUTHOR]

The article calls for papers related to the theme "Interdisciplinary and Cross-layer Design of Mobile Social Networks and Wireless Networks."

Summary: The Internet of Vehicles (IoV) is an emerging network of connected vehicles as a branch of dynamic objects in the Internet of Things (IoT) ecosystem. With the rapid development of IoV, real‐time data‐centric applications would be a significant concern in academia and industry to promote efficiency and realize modern services in such high dynamic networks. In this paper, we aim to present a systematic literature review (SLR) for the IoV networks to investigate the different attitudes in the field of data‐centric approaches. This paper systematically categorizes the 48 recent articles on data‐driven techniques in the IoV field published from 2017 to March 2022. A complete technical taxonomy is presented for the data‐centric approaches in IoV according to the content of current studies. Collected methods are chosen with the SLR process, and they are investigated considering some technical classifications including IoV security, data traffic, vehicular social network, data propagation, energy, and multimedia categories. The achievements, drawbacks, and new findings of studies are carefully investigated for addressing the deficiencies, as well as emphasizing future research direction and open issues of data‐driven approaches in IoV. [ABSTRACT FROM AUTHOR]

Performance assessment is ubiquitous and crucial in people analytics. Scientific impact, particularly, plays a significant role in the academia. This paper attempts to understand researchers' career trajectories by considering the research community as a social network, where individuals build ties with each other via coauthorship. The resulting linkage facilitates information flow and affects researchers' future impact. Consequently, we systematically investigate the career trajectories of researchers with respect to research impact using the social capital theory as our theoretical foundation. Specifically, for early‐stage and mid‐career academics, we find that connections with prominent researchers associate with greater impact. Brokerage positions, in addition, are beneficial to a researcher's research impact in the long run. For senior researchers, however, the only social network feature that significantly affects their future impact is the reputation of their recently built ties. Finally, we build predictive models on future research impact which can be leveraged by both organizations and individuals. This paper provides empirical evidence for how social networks provide signals on researchers' career dynamics guided by social capital theory. Our findings have implications for individual researchers to strategically plan and promote their careers and for research institutions to better evaluate current as well as prospective employees. [ABSTRACT FROM AUTHOR]

The green supply chain of agricultural products (GSCAP) is a key link for rural revitalization and sustainable development in China. However, it faces various risks from internal and external environments that threaten its performance and stability. This paper proposes a novel framework and system for identifying and evaluating the main risks in the GSCAP from the perspective of agricultural enterprises. The framework combines social network analysis (SNA) and an improved technique for order preference by similarity to an ideal solution (TOPSIS) method. SNA is used to analyze the correlations and influences among different types of risks, while the improved TOPSIS method is used to rank the risks of different GSCAPs and identify the key risks in each supply chain. The framework and system are verified by a case study of CDYBIT, a leading platform of food safety big data service in China. The results show that the supermarket supply chain has the highest risk, followed by the group catering supply chain, and the five‐star hotel supply chain has the lowest risk. The main risk factors for each supply chain are also discussed, and some suggestions for risk management are provided. This paper contributes to the literature by providing a comprehensive and systematic risk assessment framework and system for the GSCAP, which can help agricultural enterprises improve their risk awareness and response capabilities. [ABSTRACT FROM AUTHOR]

Academic research productivity relies upon the contribution of statisticians, who are typically clustered in statistics and biostatistics departments, isolated from clinical researchers. Most academic health centres have created consultation hubs or research incubators to make statisticians available for individual collaboration to support the clinical research enterprise. Additionally, some clinical departments within academic health centres have recognized the value in colocating statisticians within their clinical departments to improve availability for collaboration with physicians/researchers. Embedded statisticians encounter the same challenges of isolated statisticians regarding professional support and networking, mentorship and clear role expectations. While for all collaborative statisticians, it is important to effectively communicate value to both collaborators and supervisors, this may be especially problematic for embedded statisticians in clinical departments where their supervisors may not have backgrounds in research or statistics. Previous papers have reported valuable metrics for statisticians, particularly those associated with Biostatistics, Epidemiology and Research Design Cores. There is a knowledge gap regarding metrics tailored to meet the needs of the embedded statistician and clinical supervisors. This paper is a first step towards addressing this important need. In this paper, we explore (1) the critical role of collaborative statisticians and the benefits and challenges of the embedded statistician model, (2) the need for additional metrics specific to embedded statisticians which measure value and (3) how to design a value report. We offer a framework for evaluation of the contributions of the embedded statistician with the following domains: (1) collaboration, (2) research output/productivity, (3) mentoring and (4) education. Metrics that are particularly specific to embedded statisticians and that are not routinely captured include time from project initiation to completion/outcome, time from initial statistical consultation to statistical outcome completion and summary of level of contribution for manuscripts and presentations in addition to author order. We conclude with thoughts on future directions for development of metrics and reporting systems for statisticians embedded in clinical departments. [ABSTRACT FROM AUTHOR]

Expert consensus helps policymakers solve complex problems by identifying and legitimizing policy solutions. Yet, persistent hesitation remains among policymakers regarding the technically adequate policy solution despite the existence and mobilization of epistemic communities. This paper contends that more attention should be given to studying the epistemic competition that may arise when multiple epistemic communities grapple with the same problem but have divergent understandings of its technical nature and its adequate policy solutions. Building on Science and Technology Studies and on the literature on polarization, this paper suggests that two social dynamics, namely the mobilization of resources and increased polarization, may complexify the technical disagreement among experts. In turn, these dynamics may lead to a deadlock in the debates, negatively impacting the institutional context where they take place. To illustrate this, this paper analyzes the case of the pharmaceutical innovation system, which has been prone to tensions between experts arguing for strong patent protection and experts arguing for greater flexibility to meet public health needs. This paper builds on a mixed method combining a social network analysis of experts invited to provide their expertise in the WHO‐WTO‐WIPO Trilateral Cooperation events and on semi‐structured interviews with 24 of these experts. [ABSTRACT FROM AUTHOR]

When attempting to manage a large social system, it is necessary to have an overview of how the society functions and how economic theories describe this functioning. Recent discussions of higher orders of cybernetics are helping to define a multi‐disciplinary, multi‐level point of view. Knowledge from several disciplines is needed—systems science, management, engineering, cognitive studies and the various social science disciplines all have contributions to make. In this paper, we apply cybernetic ideas to further develop economic theories. The paper also uses economics to illustrate ideas in cybernetics. Similar thinking can be applied to other disciplines thus advancing the unification of science. The paper illustrates a transdisciplinary approach to knowledge development. The implications of the paper are improved understanding among scholars from several disciplines. The intent is to expand the range of conceptual possibilities available for problem‐solving. [ABSTRACT FROM AUTHOR]

Nowadays there are approximately 80 Anglophone journals that deal primarily with disaster risk reduction (DRR) and allied fields. This large array signals a sustained, if uneven, growth in DRR scholarship but also competition between the offerings of different publishers and institutions. The purpose of this article is first to summarise the development of academic publishing on DRR from its early beginnings to the present day. The paper then evaluates the current state of publishing in this field and discusses possible future trends. Next, it identifies some possible opportunities, challenges, expectations, and commitments for journal editors both within DRR and academia more broadly, including those that refer to changes in the use of terminology, the relentless increase in the number of papers submitted, the expansion and dangers of predatory journals, different peer review models, open access versus paywalls, citations and bibliography metrics, academic social networks, and copyright and distribution issues. [ABSTRACT FROM AUTHOR]

Recently, Serenko and Bontis published a meta-review of the knowledge management (KM) and intellectual capital (IC) literature that identified the 64 most productive KM/IC researchers. In this paper, exploratory data analysis using graphical methods and measures is performed on the collaboration patterns of these top 64 KM/IC researchers, and the resulting collaboration patterns are discussed. Copyright © 2006 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

With the rapid development of Internet technology and social networks, traditional personalized recommendation systems have been unable to provide effective recommendation services for groups composed of multiple users. In order to content the needs of group users, the current group recommendation algorithm mainly uses users' consensus preferences instead of personal preferences for group recommendation, which can only content the preferences of most users and ignore the preferences of a few cold users. In order to improve the fairness of group recommendation, a group recommendation algorithm based on dividing subgroups is proposed. The algorithm introduces the comprehensive trust between users to divide the group into different subgroups, and obtains the initial subgroup recommendation list according to the average strategy. The PageRank idea is used to set the weight of subgroups and assign the number of recommended items to subgroups to generate the group recommendation list. The experimental results show that the algorithm in this paper can content the user's personalized recommendation needs to the greatest extent under the premise of improving the group fair recommendation service. [ABSTRACT FROM AUTHOR]

Copyright of Family Process is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To clarify the influence mechanism and action path of social networks on farmland abandonment, taking the hilly and mountainous areas of Ganzhou, China as the study area, this paper first explores the influence of farmers' social networks on abandonment; furthermore, a mediation effect model is introduced to test the inhibiting effect of farmland transfer on abandonment under the scenario of expanding farmers' social networks. The results show that the expansion of farmers' social networks directly aggravates farmland abandonment, but with the development of land transfer market, farmers' social networks help to reduce the transaction cost of farmland transfer, thus promoting land circulation and restraining abandonment. Considering the double‐edged effect of farmers' social networks on abandonment, this paper recommends that policies aimed at curbing abandonment should be channeled through local farmers‐based social networks, and encourage land transfer among farmers' relatives, friends, or neighbors, and so forth to reduce transaction cost in rural society. [ABSTRACT FROM AUTHOR]

Assessments of the development of geography as a discipline, and studies of sub‐disciplinary development within geography, have generally focused on the subject matter under study. Consideration has concentrated on topics, theories, methods, and paradigm shifts identified by analyses of published literature. There has been rather less interest in the spatialisation of the practice and performance of the discipline by people and institutions (though there have been exceptions) and equally little attention to the evidence provided by geographical conferences. We address these lacunae in current knowledge through a quantitative study of changing disciplinary endeavour in health geography as evidenced by participation in the International Medical Geography Symposia. For 35 years this biennial meeting has been the flagship conference for health and medical geographers. We have obtained, reviewed, and coded the proceedings of all 17 symposia, analysing the submitted papers by location of symposia, lead authorship, affiliation, and country of authorship. We investigate the globalisation of the sub‐discipline and changes in key institutional involvement. Novel network analysis methods are used to identify changing linkages between research centres. What emerges is a complex sub‐discipline driven by the changing neoliberal context of higher education and marked by both continuities and discontinuities in its practitioner networks. [ABSTRACT FROM AUTHOR]

Recently, the role of personal ties in migration decisions has received considerable attention. However, this aspect has seldom been studied in the context of retirement. This paper addresses this gap by shedding light on the composition of personal networks, types of mobility patterns and retirement locations for four groups of older adults. To this end, two methodological approaches are employed: (1) a qualitative Social Network Analysis to examine the composition of older adults' personal networks and (2) thematic coding to analyse the relational aspects of migration decisions. This paper draws on 29 semi‐structured interviews conducted in Spain and Switzerland in 2020 and 2021. The findings demonstrate that pre‐retirement migration trajectories shape personal network composition. Moreover, personal ties play a critical role in older adults' mobility patterns and choices of retirement location. Overall, this study provides valuable insights into the impact of personal networks on migration decisions of older adults. [ABSTRACT FROM AUTHOR]

The objective of this article is to conduct a systematic literature review that provides an overview of the current state of research concerning methods and application for spatiotemporal analyses of the social network Twitter. Reviewed papers and their application domains have shown that the study of geographical processes by using spatiotemporal information from location-based social networks represent a promising and still underexplored field for GIScience researchers. [ABSTRACT FROM AUTHOR]

This paper unpacks the precarity of lifestyle migrants through the study of the Houniao ("snowbirds"), mostly retirees leading seasonal travel between north and south China. Focusing on the Houniao in Sanya, it explores the production and negotiation of their precarity at multiple scales. Firstly, it investigates how they encounter "precarious privilege" in Sanya's changing urban space and respond to government control and rising living expenses. Secondly, it examines their vulnerability intensified by health decline and constraints of place‐based care networks and their agency to rebuild local supporting systems. Thirdly, it explores their contested relationships with Sanya and the sense of marginality and how they develop Houniao‐based social networks. This paper highlights the significance of space/place and human agency in understanding the dynamic process in which precarity is generated and negotiated. Additionally, it provides a wider perspective on the complexity of precarity in lifestyle migration by focusing on the China context. [ABSTRACT FROM AUTHOR]

Copyright of Canadian Geographer is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background and aims The rising use of digital media in the last decade, including social networking media and downloadable applications, has created new opportunities for marketing a wide range of goods and services, including alcohol products. This paper aims to review the evidence in order to answer a series of policy-relevant questions: does alcohol marketing through digital media influence drinking behaviour or increases consumption; what methods of promotional marketing are used, and to what extent; and what is the evidence of marketing code violations and especially of marketing to children? Method and findings A search of scientific, medical and social journals and authoritative grey literature identified 47 relevant papers (including 14 grey literature documents). The evidence indicated (i) that exposure to marketing through digital media was associated with higher levels of drinking behaviour; (ii) that the marketing activities make use of materials and approaches that are attractive to young people and encourage interactive engagement with branded messaging; and (iii) there is evidence that current alcohol marketing codes are being undermined by alcohol producers using digital media. Conclusions There is evidence to support public health interventions to restrict the commercial promotion of alcohol in digital media, especially measures to protect children and youth. [ABSTRACT FROM AUTHOR]

This paper draws from a dataset focusing on two rural communities in Colorado (USA). Data collection occurred over two periods: late‐2019 and again during COVID‐19 lockdowns in mid‐2020. The communities differed demographically: one had a growing minoritized population, especially among its youth; the other was overwhelmingly white. The paper troubles the concept of subjective wellbeing (SWB) as it asks about the productive potentials of discomfort, with assistance from such concepts as colorblind ideology, motivated reasoning, and network homophily. While important to think about so‐called positive emotional states in the context of community development, we must also ask questions like, "SWB for who and at whose expense?" How respondents thought about individual‐ and community‐level SWB had much to do with the social networks they were in. I also explore why the community that fared pandemic‐related disruptions, from a SWB standpoint, better than the other performed worse during this same period from an economic (material) standpoint. Sociological factors explain these dynamics, which are leveraged to enhance our understanding of how to conceptualize community development in productive ways. In sum, I argue that certain expressions of discomfort have value and are therefore necessary for creating resilient, flourishing, and, ultimately, just communities. [ABSTRACT FROM AUTHOR]

The peer effect may amplify adverse selection in social networks, hampering the sustainable operation of microinsurance. This paper uses data from a micro health insurance program in Pakistan to test for the peer effect in renewal decisions and the role it plays in amplifying adverse selection within social networks. The paper finds evidence supporting that insurance renewal decisions are similar among peers in the same network, and the peer effect is stronger among households of the same risk type than households of different risk types, indicating that the heterogeneous peer effect acts as an amplifier for adverse selection. The paper provides policy implications for effective ways to mitigate the peer effect and adverse selection, based on the results of heterogeneity analyses. The policy recommendation is to enforce a minimum group enrollment rate requirement of at least 60% for large groups to mitigate the peer effect. [ABSTRACT FROM AUTHOR]

This paper studies how the strength of social ties is affected by the geographical location of other individuals and their social capital. We characterize the equilibrium in terms of both social interactions and social capital. We show that lower travel costs increase not only the interaction frequency but also the social capital for all agents. We also show that the equilibrium frequency of interactions is lower than the efficient one. Using a unique geocoded data set of friendship networks among adolescents in the United States, we structurally estimate the model and show that indeed agents socially interact less than that at the first best optimum. Our policy analysis suggests that, at the same cost, subsidizing social interactions yield a higher total welfare than subsidizing transportation costs. [ABSTRACT FROM AUTHOR]

This paper studies the behavioral foundations of non‐Bayesian models of learning over social networks and develops a taxonomy of conditions for information aggregation in a general framework. As our main behavioral assumption, we postulate that agents follow social learning rules that satisfy “imperfect recall,” according to which they treat the current beliefs of their neighbors as sufficient statistics for the entire history of their observations. We augment this assumption with various restrictions on how agents process the information provided by their neighbors and obtain representation theorems for the corresponding learning rules (including the canonical model of DeGroot). We then obtain general long‐run learning results that are not tied to the learning rules' specific functional forms, thus identifying the fundamental forces that lead to learning, non‐learning, and mislearning in social networks. Our results illustrate that, in the presence of imperfect recall, long‐run aggregation of information is closely linked to (i) the rate at which agents discount their neighbors' information over time, (ii) the curvature of agents' social learning rules, and (iii) whether their initial tendencies are amplified or moderated as a result of social interactions. [ABSTRACT FROM AUTHOR]

The misinformation problem affects the development of the society. Misleading content and unreliable information overwhelm social networks and media. In this context, the use of data visualizations to support news and stories is increasing. The use of misleading visualizations both intentionally or accidentally influence in the audience perceptions, which usually are not visualization and domain experts. Several factors influence o accurately tag a visualization as confusing or misleading. In this paper, we present a machine learning approach to detect if an information visualization can be potentially confusing and misunderstood based on the analytic task it tries to support. This approach is supported by fine‐grained features identified through domain engineering and meta modelling on the information visualization and dashboards domain. We automatically generated visualizations from a tri‐variate dataset through the software product line paradigm and manually labelled them to obtain a training dataset. The results support the viability of the proposal as a tool to support journalists, audience and society in general, not only to detect confusing visualizations, but also to select the visualization that supports a previous defined task according to the data domain. [ABSTRACT FROM AUTHOR]

Since the inception of gatekeeping research in the 1940s, most studies on gatekeeping have been human‐centric, treating and studying individuals as gatekeepers, who perform their gatekeeping role using a combination of the following mechanisms: forming communities, and/or broadcasting, discovering‐searching, collecting, organizing, or protecting information. However, the nature of communication channels and how information is produced by and shared with users has fundamentally changed in the last 80 years. One significant change is the growing use of technology‐enabled metadata like hashtags when sharing information on social media. Rarely any study investigates whether hashtags can perform gatekeeping of information and what it means for information gatekeeping. This paper fills in the gap by conducting a content analysis of 77 interdisciplinary studies on hashtags and gatekeeping to confirm how they can implement six gatekeeping mechanisms. This study shows that hashtags expand our understanding of the role of technology solutions in gatekeeping and advance research on hierarchical gatekeeping. The benefits of hashtags for gatekeeping suggest that they act as "information anchors" for online communities, thereby highlighting the utility of information gatekeepers for society. [ABSTRACT FROM AUTHOR]

Social network sites are being widely used by teachers, and this phenomenon has been studied extensively. Yet the knowledge base supporting policy and practitioner decisions around the implementation and facilitation of these sites remains underdeveloped. This paper suggests that one reason for this lies in a mismatch between the methods that are being used in studies of teachers in social network sites and the claims that are being made. It looks towards stronger claims within this domain of research by presenting an integrative review of empirical studies (N = 96) which investigate teachers in social network sites, with a focus upon the methods that they employ. An integrative review is conducted to find studies that look at early childhood, primary, and secondary teachers' use of Facebook, Twitter, and other social network sites. The paper analyses the sample sizes, data sources, and forms of analysis that are used in these studies and discusses their suitability to the claims that are being made. It characterises the methods used in the included studies and makes five methodological recommendations regarding: (1) data about groups to be included when reporting studies and consistency of terminology; (2) frameworks for analysis; (3) re- use of research instruments and coding schemes; (4) approaches to sampling to avoid self- selection and bias; and (5) framing of claims to be more precise in nature. It suggests steps that might be taken to move towards stronger claims within this domain through convergent validity. [ABSTRACT FROM AUTHOR]

This paper surveys visualization and interaction techniques for geospatial networks from a total of 95 papers. Geospatial networks are graphs where nodes and links can be associated with geographic locations. Examples can include social networks, trade and migration, as well as traffic and transport networks. Visualizing geospatial networks poses numerous challenges around the integration of both network and geographical information as well as additional information such as node and link attributes, time and uncertainty. Our overview analyses existing techniques along four dimensions: (i) the representation of geographical information, (ii) the representation of network information, (iii) the visual integration of both and (iv) the use of interaction. These four dimensions allow us to discuss techniques with respect to the trade‐offs they make between showing information across all these dimensions and how they solve the problem of showing as much information as necessary while maintaining readability of the visualization. https://geonetworks.github.io. [ABSTRACT FROM AUTHOR]

The language of networks has become a common conceptual framework for describing contemporary, digitally‐engaged social movements. In this paper I address the subject of digital contention from a geographical perspective, using network analysis and qualitative data to explore the networked digital contention of anti‐water charges community groups in Dublin, Ireland. Focusing thematically on network fragmentation, I use places and practices as frames to understand this situated case study and make two main points. First, social media networks are constituted through choices by individuals about how to articulate place relationally to fulfil specific political and social objectives. Second, contextual and historical components of specific places can provide an explanatory mechanism for understanding points of concentration and fragmentation in the network. Network analysis is useful for visualising and interpreting digital contention but augmenting network analysis with qualitative methods of data collection allows for deeper understanding of the geographical nuances of digital contention. [ABSTRACT FROM AUTHOR]

In the distribution network planning work, taking into account the constraints of funds and construction annual plan, there is always the prioritization problem of multiple MVDC distribution networks. Aiming at the problem, this paper proposes a method for the optimization analysis of MVDC distribution network planning objects. Firstly, a comprehensive evaluation index system of urban MVDC distribution network planning and optimization is established from three aspects of improving power supply reliability and the quality of voltage, MVDC distribution network scenario types and distribution network social benefits. Then, the qualitative indexes are quantified based on the cloud model, and the comprehensive evaluation values of each distribution network are calculated and sorted by the hierarchical additive weighting of Delphi entropy weight method. Taking the maximum comprehensive evaluation value of the scheme as objective function and the annual total investment as constraint, the construction priority of multiple MVDC distribution networks is determined. Finally, taking several distribution networks in Guangzhou, Guangdong Province, China as examples, the simulation results show that the optimal objects of distribution network based on the urban scenario demands are X4, X8 and X1, with the lowest total investment cost of 19,180 yuan, thus verifying the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Accessible summary: Some parents with learning difficulties are supported by child welfare in raising their child. Many mothers and fathers with learning difficulties have their child removed.This paper is the first published research about being a mother and being father with learning difficulties in Austria. There is not enough good quality support for parents with learning difficulties in Austria.We interviewed six mothers and five fathers with learning difficulties and asked them about who supports them and how. We also asked them what it means to them to be a mother or a father.Most parents said that they get the wrong support and are being checked on by child welfare. One mother said that she gets very helpful support.Being a mother with learning difficulties is different to being a father with learning difficulties. Mothers who have lived with their child feel that they are the main caregivers, but fathers sometimes feel excluded from their child's life. Background: Many parents with learning difficulties face high rates of child welfare intervention and child removal. In contrast to other high‐income countries, there has not been any published research on the lives of mothers and fathers with learning difficulties from an Austrian perspective. After presenting an insight into the international literature and the Austrian context, original empirical findings relevant to providing professional support for parents with learning difficulties are introduced. Method: As part of a larger qualitative study, ten individual parents with learning difficulties (six mothers and four fathers) were interviewed to gain insight into their experience of motherhood and fatherhood. During the interviews, participants were asked to visualise their social networks through network maps that were then included into analyses. The current paper primarily engages with parents' experience of professional practice based on a hermeneutic analysis of latent and manifest meanings. Findings: The study results reinforce the relevance of social networks, including (a lack of) professional parenting support, and gendered parental self‐understandings in relation to barriers for parents with learning difficulties in Austria. Parents often experienced surveillance from child welfare professionals and referred to "being checked on" as well as receiving "the wrong support". Only one study participant experienced the (flexible and self‐determined) support provided to her family as helpful. Mothers and fathers with learning difficulties face, at times, quite different challenges in the parenting role. The findings highlight a maternal self‐understanding as being primarily responsible for their child, while fathers often felt excluded from their child's life. Conclusions: Support services need to acknowledge the relevance of gendered parenting roles and intersections of multidimensional disadvantages. The parenting support currently available to mothers and fathers with learning difficulties (if available at all) needs radical improvement and nationwide support structures need to be installed in collaboration with families. [ABSTRACT FROM AUTHOR]

In this paper, we present an agent‐based model in which taxpayers 'live' in a network and care about their social reputation. Individuals decide whether to pay or to evade taxes considering the expected economic net benefit and the reputational cost from tax evasion. Individuals differ in income and in the weight they attach to social reputation, which is updated by assessing the opinions shared in their reference group. The reference group contains individuals irrespective of their income (integrated society) or it is made up of peers belonging to the same income group (segregated society). We simulate the model in the two alternative settings to find the frequency distribution of taxpayers in a dataset of random networks. The results indicate that, in an integrated society, network conformity is reached and all individuals either evade or pay their taxes. Conversely, a segregated society might generate obstacles to the diffusion of opinions and, as a result, tax evasion and tax compliance might coexist. Lastly, we consider the effects of a social media campaign starring a celebrity financed by a fiscal authority to increase overall tax compliance by exploiting the diffusion dynamics in the network. We show that such a policy is more effective if the diffusion of opinions is not hindered by social segregation. In an integrated society, especially if income inequality is low, a celebrity's endorsement of tax compliance might nudge widespread socially responsible tax behaviour. [ABSTRACT FROM AUTHOR]

In many scientific fields, the order of coauthors on a paper conveys information about each individual's contribution to a piece of joint work. We argue that in prior network analyses of coauthorship networks, the information on ordering has been insufficiently considered because ties between authors are typically symmetrized. This is basically the same as assuming that each coauthor has contributed equally to a paper. We introduce a solution to this problem by adopting a coauthorship credit allocation model proposed by Kim and Diesner (2014), which in its core conceptualizes coauthoring as a directed, weighted, and self-looped network. We test and validate our application of the adopted framework based on a sample data of 861 authors who have published in the journal Psychometrika. The results suggest that this novel sociometric approach can complement traditional measures based on undirected networks and expand insights into coauthoring patterns such as the hierarchy of collaboration among scholars. As another form of validation, we also show how our approach accurately detects prominent scholars in the Psychometric Society affiliated with the journal. [ABSTRACT FROM AUTHOR]