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The multiple problems that the planet is currently experiencing—climate crisis, conventional and unconventional wars, planetary disenchantment with political systems, growth of inequality, increase in all kinds of intersectional violence, destructuring of the political economy of morality, etc.—are not a favorable scenario for thinking about hope. This paper nevertheless offers a summary presentation of the sociology of hope, presenting some of its central sources and components as well as a proposed study agenda for the future. This article seeks to foster discussion of what could be the central axes of a sociology of hope. To achieve this purpose, the following argumentative strategy was chosen: (a) the "place" of hope is explored in some classics of sociology, (b) the central components of a sociological investigation of hope are synthesized, and (c) an agenda is presented as a summary for a future development of a sociology of hope. The article seeks to draw attention to the urgency of hope as an important element for the future of sociology and social sciences in the twenty-first century. [ABSTRACT FROM AUTHOR]

Following reflections by Talcott Parsons and Niklas Luhmann, this paper is concerned with the changing meaning of the profession as a sociological category for analyzing modern society. Professions are practical academic occupational groups oriented to certain social values, to which a special significance for society was attributed in the social sciences for a long time, thus marking a connection between professions' research and theory of society. This paper now describes that the causal relationship between profession and society is limited to a historically relatively early period. In the transition to modern society, this close network of relationships begins to dissolve, and now professions operate in the context of some function systems of society whose task is the professional assistance of single clients, such as in the fields of health, law, and pastoral care. However, the professions' highlighted position in the knowledge and action structure of single function systems seems to dissolve more and more today so that one can ask whether we can speak here already of an end of the social form profession. This would correspond with the observation that actually the professions no longer appear at all in the newer theories of society and therefore their function as an important mechanism of social structure formation is no longer attributed to them. [ABSTRACT FROM AUTHOR]

Social networks influence health-related behavior, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of influences and behavior, it is less understood how the structure or topology of the network, in itself, impacts an individual's health behavior and wellness state. In this paper, we investigate whether the structure or topology of a social network offers additional insight and predictability on an individual's health and wellness. We develop a method called the Network-Driven health predictor (NetCARE) that leverages features representative of social network structure. Using a large longitudinal data set of students enrolled in the NetHealth study at the University of Notre Dame, we show that the NetCARE method improves the overall prediction performance over the baseline models—that use demographics and physical attributes—by 38%, 65%, 55%, and 54% for the wellness states—stress, happiness, positive attitude, and self-assessed health—considered in this paper. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate the logic behind lay people’s ideological position taking and how this is determined by class position. I therefore examine to what extent there exists a similarity between the configuration of the political field and the structure of the space of social classes. The paper includes a brief description of the two most salient political alignments today, namely the old economic alignment and the new cultural alignment, and an explanation of how this two-dimensional political structure pertains to the rise of the new middle class. Directly related to this, I also present a discussion on the importance of the ethical habitus to understand the mechanism behind class determined political position taking. Subsequently, based on survey data and using multiple correspondence analysis, I empirically reproduce this political structure for Flanders (Belgium). Finally, relying on the visualized regression technique, I demonstrate that there exists a clear structural similarity between the political field and the space of social classes, which is a strong indication that the class-engendered ethical habitus is, in fact, the underlying factor that gives structure to the variations in political attitudes. [ABSTRACT FROM AUTHOR]

Abstract: This paper offers a defence of sociology through an engagement with Actor Network Theory (ANT) and particularly the critique of ‘critical’ and politically engaged social science developed by Bruno Latour. It argues that ANT identifies some weaknesses in more conventional sociology and social theory, and suggests that ‘critical’ and ‘public’ orientated sociologists can learn from the analytical precision and ethnographic sensibilities that characterize ANT as a framework of analysis and a research programme. It argues, however, that Latour et al. have too hastily dispensed with ‘critique’ in favour of a value neutral descriptive sociology, and that the symmetrical and horizontalist approach adopted in ANT is particularly ill‐suited to the development of scientific knowledge about social structures. It argues that a more straightforwardly realist sociology would share many of the strengths of ANT whilst being better able to interrogate, empirically and normatively, the centres of contemporary social power. [ABSTRACT FROM AUTHOR]

This paper addresses the question of whether one can generate networks with a given global structure (defined by selected blockmodels, i.e., cohesive, core-periphery, hierarchical, and transitivity), considering only different types of triads. Two methods are used to generate networks: (i) the newly proposed method of relocating links; and (ii) the Monte Carlo Multi Chain algorithm implemented in the package in R. Most of the selected blockmodel types can be generated by considering all types of triads. The selection of only a subset of triads can improve the generated networks’ blockmodel structure. Yet, in the case of a hierarchical blockmodel without complete blocks on the diagonal, additional local structures are needed to achieve the desired global structure of generated networks. This shows that blockmodels can emerge based only on local processes that do not take attributes into account. [ABSTRACT FROM AUTHOR]

Size estimation is particularly important for populations whose members experience disproportionate health issues or pose elevated health risks to the ambient social structures in which they are embedded. Efforts to derive size estimates are often frustrated when the population is hidden or hard-to-reach in ways that preclude conventional survey strategies, as is the case when social stigma is associated with group membership or when group members are involved in illegal activities. This paper extends prior research on the problem of network population size estimation, building on established survey/sampling methodologies commonly used with hard-to-reach groups. Three novel one-step, network-based population size estimators are presented, for use in the context of uniform random sampling, respondent-driven sampling, and when networks exhibit significant clustering effects. We give provably sufficient conditions for the consistency of these estimators in large configuration networks. Simulation experiments across a wide range of synthetic network topologies validate the performance of the estimators, which also perform well on a real-world location-based social networking data set with significant clustering. Finally, the proposed schemes are extended to allow them to be used in settings where participant anonymity is required. Systematic experiments show favorable tradeoffs between anonymity guarantees and estimator performance. Taken together, we demonstrate that reasonable population size estimates are derived from anonymous respondent driven samples of 250-750 individuals, within ambient populations of 5,000-40,000. The method thus represents a novel and cost-effective means for health planners and those agencies concerned with health and disease surveillance to estimate the size of hidden populations. We discuss limitations and future work in the concluding section. [ABSTRACT FROM AUTHOR]

Micro-blogging systems have become one of the most important ways for information sharing. Network structure and users’ interactions such as forwarding behaviors have aroused considerable research attention, while mention, as a key feature in micro-blogging platforms which can improve the visibility of a message and direct it to a particular user beyond the underlying social structure, is seldom studied in previous works. In this paper, we empirically study the mention effect in information diffusion, using the dataset from a population-scale social media website. We find that users with high number of followers would receive much more mentions than others. We further investigate the effect of mention in information diffusion by examining the response probability with respect to the number of mentions in a message and observe a saturation at around 5 mentions. Furthermore, we find that the response probability is the highest when a reciprocal followship exists between users, and one is more likely to receive a target user’s response if they have similar social status. To illustrate these findings, we propose the response prediction task and formulate it as a binary classification problem. Extensive evaluation demonstrates the effectiveness of discovered factors. Our results have consequences for the understanding of human dynamics on the social network, and potential implications for viral marketing and public opinion monitoring. [ABSTRACT FROM AUTHOR]

A host of power relations are structurally imposed upon the imprisoned and these produce vulnerabilities that require considerable energy and attention. This paper argues, however, that ‘vulnerable populations’ is a politically reactive legal category in the context of research with prisoners. In turn, this form of categorical vulnerability is often misaligned with ‘actually existing vulnerability’ or 'relational vulnerability' in the context of prison life. Substantive ethical, methodological and practical problems result from this misalignment, as I illustrate through the case of my research with former prisoners in Athens, Georgia. I seek to prove two claims in support of my central argument. First, actually existing vulnerability is fundamentally relational and it involves the researcher, the researched, collaborators, and (often distant) people and social structures that were not necessarily directly involved in the research process. Second, vulnerability is a spatially and temporally contingent process. The essay reviews the peculiar history by which prisoners came to be categorized as a ‘vulnerable population’ in the United States, in addition to recounting my first-hand experiences during the research process. [ABSTRACT FROM PUBLISHER]

Observed friendship choices are constrained by social structures and thus problematic indicators for underlying personal preferences. In this paper, we report on a study demonstrating the causal effects of preference in friendship choice based on an online field experiment. Specifically, we tested two important forces that govern friendship choices: preference for shared group identity (operationalized as the desire to befriend others sharing the same place-of-origin identity) and preference for high status (operationalized as the desire to befriend others from high-status institutions). Using an online field experiment in one of the largest social network service websites in China, we investigated the causal preference effects of these two forces free from structural constraints. The results of our study confirm the preference effects on friendship choice in both of the two dimensions we tested. [ABSTRACT FROM AUTHOR]

While natural sciences such as physics hold causality for granted as one of the most fundamental principles to make adequate theories of the real world, social sciences, first of all, sociology have not this advantage. Of course, humans are subjected to causality insofar as they are physical entities too, but moreover they are endowed with free will that essentially complicates their behavior and social activity. Unlike causality, logistics should take the same place in social sciences. Conscious beings behave rationally and act logistically as well as they possess some physical experience (including causality) and socially structured knowledge. Thus, free will is restricted not only by causality and other physical laws but also logistics. This paper argues for a logistical approach to the society and models the state as a power hierarchy (mathematical ideal). The state can exist, function, and be stable over time only as a hierarchy. Then sovereignty emerges as a logistical phenomenon whose ‘dynamical magnitude’ is naturally decomposed by the societal strata of the society and the mankind as a whole. Further, any state-based legal system (SLS) can be analyzed in structuralism tradition by means of logical-algebraic modeling. When the states as a set of the self-sufficient (logistically complete) sovereign hierarchies confront in the international law field (ILF) it leads inevitably to incompleteness of the ILF. In sum, the logistical theorem on war can be elicited. [ABSTRACT FROM PUBLISHER]

Since third sector research emerged as a full-fledged interdisciplinary academic field during the late 1980s, a separation has usually been maintained-in common with many other social science disciplines-between communities of researchers who are primarily concerned with the study of the third sector in rich Western countries and those who work on the third sector in the so-called developing world. Whilst internationally focused researchers tend to use the language of 'non-governmental organizations', those in domestic settings usually prefer the terms 'non-profit organization' or 'voluntary organization', even though both subsectors share common principles and are equally internally diverse in terms of organisations and activities. Whilst there has long been common-sense logic to distinguishing between wealthier and poorer regions of the world based on differences in the scale of human need, the 'developed' versus 'developing' category can also be criticised as being rather simplistic and unhelpfully ideological. As the categories of 'developing' and 'developed' countries become less clear-cut, and global interconnectedness between third sectors and their ideas grows, this paper argues that we need to reconsider the value of maintaining these parallel worlds of research, and instead develop a more unified approach. [ABSTRACT FROM AUTHOR]

Positive leadership is considered a fundamental factor which contributes significantly to the development of healthy organizations. Positive leadership has been address via other leadership models, primarily transformational and authentic leadership, with which some affinities have been established. Although there is a large body of literature on positive leadership, especially related to its practical aspects, the construct is not properly delimited and there are only a few relevant contributions on how to measure it. The purpose of this paper is to conduct a pilot study to examine the psychometric properties of a reduced version of the PLAS (Positive Leadership Assessment Scale). Results from a confirmatory factorial analysis show that a five-correlated factors model achieves a good fit with the empirical data (on a sample of Spanish students). Likewise, this study also offers a range of evidence of validity, showing a relationship with the constructs of both transformational and authentic leadership and engagement. [ABSTRACT FROM AUTHOR]