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The current paper aimed to investigate the network structure and centrality indexes of hypersensitive narcissism using the hypersensitive Narcissism Scale (HSN). Additionally, we aimed to explore its relationships with dark triad personality aspects. A globally diverse sample of “53,981” participants (47.9% non-United States responders) completed the HSN and Dark Triad Dirty Dozen scale (DTD). We estimated the network structure across genders to determine the core characteristics of hypersensitive narcissism. Additionally, bridge and central nodes (characteristics) were identified. All analyses were performed using R-Studio programming software. The network comparison test indicated significant differences in the network structures between males and females (Network-Invariance: 0.0489, P < 0.01; Global Strength Invariance: 0.101, P < 0.01). In the network of HSN for male participants, characteristics with the highest strength centrality were “Highly affected by criticism” (HSN.2, strength = 1.08) and “Self-absorbed in personal pursuits” (HSN.8, strength = 1.28). For female participants, “Self-absorbed in personal pursuits” (HSN.8, strength = 1.32) and “privately annoyed by others’ needs” (HSN.10, strength = 1.21) were the highest central characteristics. The assessment of bridge strength indicated that nodes HSN.2 (Highly sensitive to criticism), scoring 0.42, and DTD.1 (Tendency to manipulate for gain, a component of Machiavellianism), scoring 0.428, showed the highest bridge strength values. The current study identified core characteristics of hypersensitive narcissism and its correlation with dark triad personality, revealing gender-specific patterns and bridging symptoms between the two constructs. These findings showed that focusing on these core characteristics may be advantageous in treating individuals exhibiting elevated levels of narcissism. [ABSTRACT FROM AUTHOR]

An analysis of who owns large companies and how they are organised is overdue in the study of Latin American elites, especially at transnational level. It is a limitation that has hampered debates on the emergence of transnational business elites in the region. This paper identifies the owners of the largest companies in Latin America and analyses the networks they form. The results reveal the formation of an interlocking ownership network between a small number of transnational owners, most of whom are financial corporations in the United States and Europe. These findings allow us to discuss regional integration and the dominance of economic models imported from those territories. [ABSTRACT FROM AUTHOR]

• A first empirical analysis of the relationships between capital centralization, monetary policy guidelines, and the business cycle. • A tightening monetary policy brings about a higher centralization of capital. • A 1% increase in the policy rate brings about a reduction in the fraction of top shareholders of net control of about 13% in the US and of 5% in the EA. • A higher centralization of capital, in turn, leads to a reduction of GDP with respect to its trend. • A 1% decrease in the fraction of top shareholders leads to a 2.3% and 1.5% contraction of the nominal GDP deviation from its trend in the US and in the EA. Based on a connection between network analysis and B-VAR models, this paper provides a first empirical evidence of the relationships between capital centralization expressed in terms of network control on one hand and monetary policy guidelines and business cycles on the other. Our findings suggest that a tightening monetary policy leads to a decrease in the fraction of top shareholders of network control which results in a higher centralization of capital; and that a higher centralization of capital, in turn, leads to a reduction of GDP with respect to its trend. These relations are confirmed both for the United States and the Euro Area. [ABSTRACT FROM AUTHOR]

• Child maltreatment is a complex problem requiring interdisciplinary collaboration. • A fellowships program was designed to support maltreatment prevention scholars. • The program created a densely connected interdisciplinary network of fellows. • Scientific collaborations between fellows increased over time. Child maltreatment is a complex problem requiring interdisciplinary collaborative research to generate innovative solutions. The Doris Duke Fellowships for the Promotion of Child Well-Being were designed to identify and nurture emerging scholars committed to child maltreatment prevention and create a supportive interdisciplinary learning network. This paper examines connectivity within the collaborative network created by the fellowships program using longitudinal social network data. Participants were 120 individuals selected as Doris Duke Fellows during their doctoral training at universities in the United States. Fellows completed annual, voluntary web-based surveys to assess their interactions with other fellows during the past year. Social network analysis methods were used to assess the strength and quality of the learning network over a four-year period. Across four years of data, there were increases in the number of connections, proportion of cross-cohort connections, and proportion of interdisciplinary connections. Network analyses showed a highly connected network consisting of primarily medium- and high-quality connections between fellows from different disciplines. The number of scientific journal articles authored by two or more fellows grew substantially over time. Findings indicate the collaborative network created by the fellowships program is growing and strengthening over time. The new Child Well-Being Research Network extends the fellowships network to a broader group of scholars and professionals to advance diversity, equity, inclusion, and justice in the field of child well-being research. [ABSTRACT FROM AUTHOR]

This paper relies upon the 'what's the problem represented to be?' approach to policy analysis to interrogate key representations of human trafficking implicit in the UK government's anti-trafficking policy. It identifies six policy vectors, or representations, of human trafficking embedded within the policy, including organized crime, 'illegal' immigration, and victim assistance as three primary vectors; sexual exploitation/prostitution, poverty in countries of victims' origin, and isolated instances of labour law infringements as three secondary vectors. In addition, a series of assumptions, which underlie the current interpretation of trafficking, are also identified. By exploring what the problem of human trafficking is represented to be, the paper also provides an insight into what remains obscured within the context of the dominant policy frameworks. In doing so, it highlights the role of state-capital entanglements in normalizing exploitation of trafficked, smuggled and 'offshored' labour, and critiques the UK's anti-trafficking policy for manufacturing doubt as to the structural causes of human trafficking within the context of neoliberalism. [ABSTRACT FROM AUTHOR]

Although substantial attention has focused on efforts by the new Administration to block environmental policies, climate politics have been contentious in the US since well before the election of Donald Trump. In this paper, we extend previous work on empirical examinations of echo chambers in US climate politics using new data collected on the federal climate policy network in summer 2016. We test for the similarity and differences at two points in time in homophily and echo chambers using Exponential Random Graph Models (ERGM) to compare new findings from 2016 to previous work on data from 2010. We show that echo chambers continue to play a significant role in the network of information exchange among policy elites working on the issue of climate change. In contrast to previous findings where echo chambers centered on a binding international commitment to emission reductions, we find that the pre-existing echo chambers have almost completely disappeared and new structures have formed around one of the main components of the Obama Administration’s national climate policy: the Clean Power Plan. These results provide empirical evidence that science communication and policymaking at the elite level shift in relation to the policy instruments under consideration. [ABSTRACT FROM AUTHOR]

Understanding the nature of migratory behaviors within animal populations is critical to develop and refine conservation and management plans. However, tracking migratory marine animals across life stages and over multiple years is inherently difficult to achieve, especially for highly migratory species. In this paper, we explore the use of acoustic telemetry to characterize the spatial ecology of Atlantic tarpon ( Megalops atlanticus ), elucidate the ecology of this poorly studied species, and ultimately inform conservation and management. Using the data from twenty-two acoustically tagged Atlantic tarpon, we found a diversity of tarpon migratory patterns, including spatial and temporal overlap for some individuals. We also reveal fine scale movements within specific ecosystems, as well as a range of distributions and connectivity across coastal waters of the southeastern United States of America. For tarpon with tracking durations greater than one month (n = 13), we found heterogeneous space use and migratory connectivity with some tarpon remaining close to their capture location while others migrated hundreds of kilometers. In addition, we were able to identify a northern and southern limit for one migratory tarpon that had detections spanning over 365 days. We share analyses on Atlantic tarpon data, including model-driven approaches and network analysis, to investigate movement strategies and space use, which may be pertinent to other studies involving highly migratory species. The project was a collaborative effort involving several acoustic telemetry networks which enabled the monitoring of broad- and fine-scale movements for extended periods of time that would normally be difficult to achieve with other monitoring techniques. Although challenges exist with applying acoustic telemetry to monitor highly migratory species, we also discuss its value in enabling researchers to assess movements and space use beyond the focal species, such as cross-ecosystem comparisons and multi-species interactions. [ABSTRACT FROM AUTHOR]

Drawing on recent contributions inferring financial interconnectedness from market data, our paper provides new insights on the evolution of the US financial industry over a long period of time by using several tools coming from network science. Relying on a Time-Varying Parameter Vector AutoRegressive (TVP-VAR) approach on stock market returns to retrieve unobserved directed links among financial institutions, we reconstruct a fully dynamic network in the sense that connections are let to evolve through time. The financial system analysed consists of a large set of 155 financial institutions that are all the banks, broker-dealers, insurance and real estate companies listed in the Standard & Poors’ 500 index over the 1993–2014 period. Looking alternatively at the individual, then sector-, community- and system-wide levels, we show that network sciences’ tools are able to support well-known features of the financial markets such as the dramatic fall of connectivity following Lehman Brothers’ collapse. More importantly, by means of less traditional metrics, such as sectoral interface or measurements based on contagion processes, our results document the co-existence of both fragmentation and integration phases between firms independently from the sectors they belong to, and doing so, question the relevance of existing macroprudential surveillance frameworks which have been mostly developed on a sectoral basis. Overall, our results improve our understanding of the US financial landscape and may have important implications for risk monitoring as well as macroprudential policy design. [ABSTRACT FROM AUTHOR]

Fish consumption in Mexico is considered low (around 12 kg per person per year) and non-homogeneously distributed across the country. One of the reasons for this situation is the scarcity of wholesale selling sites. In this context, the Mercado del Mar (MM), located in Guadalajara city, Jalisco, is the second biggest wholesale fish market in Mexico, with a distribution of about 500 tons per day and a variety of about 350 different species of fish. In this paper, we argue that MM has accumulated social capital, which is formed from two main resources: buyer and seller relationships, and reputation. Specifically, the MM manages a broad and intensive interaction among business actors and the already achieved reputation allows the MM to adapt to market changes. To validate our hypotheses, an empirical study was conducted in 2015 by means of interviews to fish wholesalers in the MM and a sample of their suppliers and buyers. For simplicity we have only considered fresh water fish. We have followed snow-ball sampling as the survey strategy. Results show that the MM has responded to fish market dynamics organizing a complex network of buyers and suppliers whose relationships can be explained in the form of strong and weak ties. At the same time, reputation has been the central resource to build this social capital and also gives place to market transactions. Additionally, the strategic position of Guadalajara city and the well-connected routes have facilitated fish bulking and distribution in the region. [ABSTRACT FROM AUTHOR]

The social functions of urbanized areas are highly dependent on and supported by the convenient access to public transportation systems, particularly for the less privileged populations who have restrained auto ownership. To accurately evaluate the public transit accessibility, it is critical to capture the spatiotemporal variation of transit services. This can be achieved by measuring the shortest paths or minimum travel time between origin-destination (OD) pairs at each time-of-day (e.g. every minute). In recent years, General Transit Feed Specification (GTFS) data has been gaining popularity for between-station travel time estimation due to its interoperability in spatiotemporal analytics. Many software packages, such as ArcGIS, have developed toolbox to enable the travel time estimation with GTFS. They perform reasonably well in calculating travel time between OD pairs for a specific time-of-day (e.g. 8:00 AM), yet can become computational inefficient and unpractical with the increase of data dimensions (e.g. all times-of-day and large network). In this paper, we introduce a new algorithm that is computationally elegant and mathematically efficient to address this issue. An open-source toolbox written in C++ is developed to implement the algorithm. We implemented the algorithm on City of St. George’s transit network to showcase the accessibility analysis enabled by the toolbox. The experimental evidence shows significant reduction on computational time. The proposed algorithm and toolbox presented is easily transferable to other transit networks to allow transit agencies and researchers perform high resolution transit performance analysis. [ABSTRACT FROM AUTHOR]

In this paper, we extend some usual techniques of classification resulting from a large-scale data-mining and network approach. This new technology, which in particular is designed to be suitable to big data, is used to construct an open consolidated database from raw data on 4 million patents taken from the US patent office from 1976 onward. To build the pattern network, not only do we look at each patent title, but we also examine their full abstract and extract the relevant keywords accordingly. We refer to this classification as semantic approach in contrast with the more common technological approach which consists in taking the topology when considering US Patent office technological classes. Moreover, we document that both approaches have highly different topological measures and strong statistical evidence that they feature a different model. This suggests that our method is a useful tool to extract endogenous information. [ABSTRACT FROM AUTHOR]

This paper introduces a bibliometric, citation network-based method for assessing the social validation of novel research, and applies this method to the development of high-throughput toxicology research at the US Environmental Protection Agency. Social validation refers to the acceptance of novel research methods by a relevant scientific community; it is formally independent of the technical validation of methods, and is frequently studied in history, philosophy, and social studies of science using qualitative methods. The quantitative methods introduced here find that high-throughput toxicology methods are spread throughout a large and well-connected research community, which suggests high social validation. Further assessment of social validation involving mixed qualitative and quantitative methods are discussed in the conclusion. [ABSTRACT FROM AUTHOR]

Based on coupled networks, taking node load, capacity and load redistribution between two networks into consideration, we propose functionally identical coupled networks, which consist of two networks connected by interlinks. Functionally identical coupled networks are derived from the power grid of the United States, which consists of many independent grids. Many power transmission lines are planned to interconnect those grids and, therefore, the study of the robustness of functionally identical coupled networks becomes important. In this paper, we find that functionally identical coupled networks are more robust than single networks under random attack. By studying the effect of the broadness and average degree of the degree distribution on the robustness of the network, we find that a broader degree distribution and a higher average degree increase the robustness of functionally identical coupled networks under random failure. And SF-SF (two coupled scale-free networks) is more robust than ER-ER (two coupled random networks) or SF-ER (coupled random network and scale-free network). This research is useful to construct robust functionally identical coupled networks such as two cooperative power grids. [ABSTRACT FROM AUTHOR]

With the emergence of smartphones, the paradigm of the mobile ecosystem has changed rapidly. In particular, global mobile firms focus on technological competition when jostling for market position in recognition of the strategic need to secure a strong mobile platform. In this paper, we analyse the network structure of technological knowledge flows in mobile ecosystems using US patent citation information. We find that two subsectors, platform providers and application and software providers, are at the centre of knowledge exchange activity and play a brokerage role as the key knowledge mediator. Then, we categorise mobile firms into five different groups based on the patterns of their network centrality: knowledge keystone players, knowledge-distributing mediators, knowledge-absorbing mediators, catch-up players, and pure knowledge receivers. The categorisation of firms demonstrates that knowledge flows in the mobile industry converge towards a few leading firms, and such patterns are shaping the mobile ecosystem with respect to technological knowledge. The firms categorised as catch-up players have played a brokerage role within their group, while the firms categorised as knowledge keystone players play a brokerage role across different groups. [ABSTRACT FROM PUBLISHER]

In 1939, the Futurama exhibit at the New York World's Fair amazed visitors with its diorama showing futuristic freeways crossing the countryside and reshaping cities. After the fair, the exhibit's designer, Norman Bel Geddes, elaborated the model into a proposal for a national freeway network. This paper examines the network structure and geographic dimensions of Bel Geddes's vision and compares it to the Interstate Highway System, created several years later. Despite the futuristic trappings inherited from the Futurama model, the two networks are surprisingly similar except in their relation to cities, which Bel Geddes's network avoids. The majority of elements in Bel Geddes's system have been incorporated into actual routes and networks, and it can be expected that his system would have gone through many of the same adaptations to changing economic, environmental, and political circumstances as the Interstate Highway System. [ABSTRACT FROM AUTHOR]

This paper explores the conditions under which local governments are likely to engage in formalized intergovernmental developmental cooperation. The author theorizes that policy competition, informational and divisional transaction costs, and resources condition the likelihood of institutional collective action. Data from a variety of sources—including a unique author-conducted survey of local officials in Colorado—are used to test hypotheses in a dyadic model of local cooperation. Results indicate that agreements are more likely in competitive policymaking environments and when jurisdictions have more informational resources. [ABSTRACT FROM PUBLISHER]

Abstract: This paper contributes to the analysis of the interplay of public relations and news in crisis situations, and the conceptualization of strategic framing by introducing the idea of associative frames and the method of semantic network analysis to the PR research field. By building on a more advanced understanding of communication as process of social meaning construction that is embedded in networks of differential relations between different actors, it contributes to extend the perspective of first- and second-order agenda building towards a kind of “third order” or “network agenda building”. Via an automated content analysis of more than 3700 articles we examine agenda- and frame-differences between public relations, UK and US news in the BP crisis. The study documents that BP successfully applied a decoupling strategy: It dissociated itself from being responsible for the cause and at the same time presented itself as solvent of the crisis. It shows that in crises, associative frames in PR resonate partly to associative frames in news. Especially the US news followed BP and did not succeed in presenting political actors as solution providers. [Copyright &y& Elsevier]

Abstract: Although there are hundreds of airports that support commercial air passenger traffic in the United States (US), not all areas are equivalently served by the commercial air transportation system. Locations in the US differ with respect to their level of access to the commercial air network and their overall accessibility within the system. Given the complexity of the domestic commercial air passenger network and supporting infrastructure, past research has only been able to provide a limited assessment of locational accessibility within the United States. To address these complexities, this paper proposes a new metric that incorporates measures of access to air transport as well as accessibility within air transportation networks. Using a comprehensive dataset on scheduled airline service, the developed approach is then applied to the US domestic commercial passenger air transportation network to explore geographic differentials in accessibility. Results suggest marked differences between core-based statistical areas throughout the US. [Copyright &y& Elsevier]

Quality improvement collaboratives have become a common strategy for improving health care. This paper uses social network analysis to study the relationships among organizations participating in a large scale public–private collaboration among major health plans to reduce racial and ethnic disparities in health care in the United States. Pre-existing ties, the collaborative process, participants'' perceived contributions, and the overall organizational standing of participants were examined. Findings suggest that sponsors and support organizations, along with a few of the health plans, form the core of this network and act as the “glue” that holds the collaboration together. Most health plans (and one or two support organizations) are in the periphery. While health plans do not interact much with one another, their interactions with the core organizations provided a way of helping achieve health plans'' disparities goals. The findings illustrate the role sponsors can play in encouraging organizations to voluntarily work together to achieve social ends while also highlighting the challenges. [Copyright &y& Elsevier]