Social Movements and Social Networks: Introduction

In this Introduction we provide a brief literature review of work on social networks and social movements, a brief introduction to certain key concepts and debates in social network analysis, and a brief introduction to the articles which follow in the special issue.     

Social Protest and Self-Enhancement: A Conditional Relationship

Data from a panel study are used to test the theoretically informed hypothesis that participation in social protest activities in the seventh grade has self-enhancing outcomes in the ninth grade and in young adulthood where the subjects in the seventh grade express alienation from the conventional social order. However, participation in social protest activities in the seventh grade is expected to have self-devaluing consequences in the ninth grade and young adulthood where the subjects in the seventh grade do not express alienation from the conventional social order. The results of OLS multiple regression analyses with interaction terms were consistent with the hypothesis. As predicted, among subjects who rejected the idea that one can get ahead by working hard, seventh grade social protest was inversely related to self-derogation; and, among subjects who affirm the idea that one can get ahead by working hard, social protest activities were related to higher subsequent levels of self-derogation.     

Social Networks and Social Settings: Developing a Coevolutionary View

One way to think about social context is as a sample of alters. To understand individual action, therefore, it matters greatly where these alters may be coming from, and how they are connected. According to one vision, connections among alters induce local dependencies—emergent rules of social interaction that generate endogenously the observed network structure of social settings. Social selection is the decision of interest in this perspective. According to a second vision, social settings are collections of social foci—physical or symbolic locales where actors meet. Because alters are more likely to be drawn from focused sets, shared social foci are frequently considered as the main generators of network ties, and hence of setting structure. Affiliation to social foci is the decision of central interest in this second view. In this paper we show how stochastic actor–oriented models (SAOMs) originally derived for studying the dynamics of multiple networks may be adopted to represent and examine these interconnected systems of decisions (selection and affiliation) within a unified analytical framework. We illustrate the empirical value of the model in the context of a longitudinal sample of adolescent participating in the Glasgow Teenage Friends and Lifestyle Study. Social selection decisions are examined in the context of networks of friendship relations. The analysis treats musical genres as the main social foci of interest.     

The Analysis of Duocentric Social Networks: A Primer

Marriages and other intimate partnerships are facilitated or constrained by the social networks within which they are embedded. To date, methods used to assess the social networks of couples have been limited to global ratings of social network characteristics or network data collected from each partner separately. In the current article, the authors offer new tools for expanding on the existing literature by describing methods of collecting and analyzing duocentric social networks, that is, the combined social networks of couples. They provide an overview of the key considerations for measuring duocentric networks, such as how and why to combine separate network interviews with partners into one shared duocentric network, the number of network members to assess, and the implications of different network operationalizations. They illustrate these considerations with analyses of social network data collected from 57 low‐income married couples, presenting visualizations and quantitative measures of network composition and structure.     

Social Support Networks and School Outcomes: The Centrality of the Teacher

This investigation compares school outcomes for students who differ in the extent to which they perceive their parents, friends, and teachers—each alone and in combination—as important sources of social support. Findings indicate that middle and high school students who perceive high supportiveness from all three sources of support, as opposed to none, one, or two, have better attendance; spend more hours studying; avoid problem behavior more; have higher school satisfaction, engagement, and self-efficacy; and obtain better grades. Positive school outcomes are promoted when teacher support is perceived in combination with perceived support from parents and friends. Implications of the results for human service providers are presented.     

In the office: Networks and coalitions

The study of the internal politics of an office demonstrates that levelling coalitions derive from established networks. This contradicts the view that network analysis is not useful in the study of levelling coalitions. Sixteen months of observation of office politics, particularly the functioning of levelling coalitions in the informal structure, could not be understood apart from the social networks from which they had sprung. Recruitment to and participation in the levelling coalitions derives directly from the existing networks. The analysis also demonstrates that the success or failure of the levelling coalition is dependent upon the relationships held and manipulated by the target. In order to understand the conflicts and be able to predict their outcome coalitions and networks must be analyzed.     

The Impact of Poverty on Social Networks and Supports

No abstract available for this article.     

The Emergence and Stability of Groups in Social Networks

An important puzzle in social network research is to explain how macro-level structures emerge from micro-level network processes. Explaining the emergence and stability of structural groups in social networks is particularly difficult for two reasons. First, because groups are characterized both by high connectedness within (group cohesion) and lack of connectedness between them (group boundaries). Second, because a large number of theoretical micro-level network processes contribute to their emergence. We argue that traditional social network theories that are concerned with the evolution of positive relations (forces of attraction) are not sufficient to explain the emergence of groups because they lack mechanisms explaining the emergence of group boundaries. Models that additionally account for the evolution of negative ties (forces of repulsion) may be better suited to explain the emergence and stability of groups. We build a theoretical model and illustrate its usefulness by fitting stochastic actor-oriented models (SAOMs) to empirical data of co-evolving networks of friendship and dislike among 479 secondary-school students. The SAOMs include a number of newly developed effects expressing the co-evolution between positive and negative ties. We then simulate networks from the estimated models to explore the micro-macro link. We find that a model that considers forces of attraction and repulsion simultaneously is better at explaining groups in social networks. In the long run, however, the empirically informed simulations generate networks that are too stylized to be realistic, raising further questions about model degeneracy and time heterogeneity of group processes.     

Social Networks and Individual Perceptions: Explaining Differential Participation in Social Movements

This paper seeks to explain differential participation in social movements. It does so by attempting to bridge structural-level and individual-level explanations. We test a number of hypotheses drawn from the social networks and the rationalist perspectives on individual engagement by means of survey data on members of a major organization of the Swiss solidarity movement. Both perspectives find empirical support: the intensity of participation depends both on the embeddedness in social networks and on the individual perceptions of participation, that is, the evaluation of a number of cognitive parameters related to engagement. In particular, to be recruited by an activist and the perceived effectiveness of one's own potential contribution are the best predictors of differential participation. We specify the role of networks for social movements by looking at the nature and content of networks and by distinguishing between three basic functions of networks: structurally connecting prospective participants to an opportunity to participate, socializing them to a protest issue, and shaping their decision to become involved. The latter function implies that the embeddedness in social networks significantly affects the individual perceptions of participation.     

Social Networks and Extraparliamentary Politics

This article reviews the main literature dealing with the relationship between social networks and various forms of extraparliamentary politics. The purpose of the article is to introduce this exciting field of research in an accessible manner.     

The Family and Social Networks of Recently Discharged Foster Youth

Many youth leave foster care with disrupted relationships with family and others in their social networks. Previous research has documented the severe adversity that former foster youth face in the transition to young adulthood. Some of these difficulties are at least partially related to a lack of social support that results from frayed relationships. The purpose of this research was to examine the role that social support plays in the transition to adulthood. It was hypothesized that foster youth with higher levels of social support would make more successful adaptations to early adulthood than youth without that support. Ninety-seven former foster youth were followed for 2 years. Youth reported low levels of “feeling close to parents,” but higher levels of “closeness” were expressed for other relatives. Findings were mixed. Organizational involvement and having many “close” friends were associated with better outcomes. On the other hand, family contact and family support was inversely associated with resiliency. The implications of these findings are discussed.     

The Effect of Contraceptive Knowledge on Fertility: The Roles of Mass Media and Social Networks

This study examines the effect of contraceptive knowledge on fertility during the period when Taiwan’s family planning programs were in effect. This study contributes to previous studies by directly measuring individual’s contraceptive knowledge and fertility, as well as applying an instrumental variable approach to gauge the effect of contraceptive knowledge on fertility. The results indicate that mass media and social networks play important roles in disseminating contraceptive knowledge. This study finds that women transform their knowledge into behavior—that is, contraceptive knowledge reduces fertility, no matter which fertility metric is measured (life-time fertility or probability of giving birth).     

The Role of Social Networks in Getting a Job

This article reviews recent research on the effect s of social networks on access to job information and getting a job in the United States. Drawing on network ties from friends, family members, acquaintances, employers, or coworkers can improve the job search because individuals gain access to and make use of their network’s social capital. While this job searching strategy can result in a successful job search for some, not all job seekers benefit from reliance on social networks. We spotlight research that documents how reliance on social networks as a means to find work can actually maintain sex and racial/ethnic inequality at work. We discuss research documenting the important role social networks play in the job acquisition process. The last half of this review focuses on several new developments in the literature that promise to further our understanding of social networks’ lasting effects on employment outcomes.     

Social Networks: Towards Structure or Process?*

En discutant des réseaux sociaux, on a confondu deux traditions tout à fait distinctes de la pensée anthropologique contemporaine. L'une de ces traditions est à la recherche de nouveaux concepts pour analyser la structure sociale; l'autre tradition s'intéresse aux modèles processuels. Cette dernière position permet, à notre point de vue, une recherche beaucoup plus fructueuse des champs de comportements qui ont échappéà la théorie structuraliste. Toutefois, avant d'établir plus sûrement la valeur de cette voie d'analyse on devra l'élaborer et définir ses objectifs plus clairement. Des illustrations provenant d'études sur le terrain chez les Yoruba ajoute foi à l'idée que les réseaux eux-mêmes peuvent être décrits et comparés sans tenir compte de leurs positions dans le processus social. Two quite distinct traditions in recent anthropological thinking have been confounded in the discussion of social networks. One of these seeks new concepts for the analysis of social structure; the other is oriented toward processual models. This second view promises more fruitful inquiry into areas of behaviour that have eluded structural theory, but it must be further developed with clearer goals before its value can be ascertained. Illustrations from field-work among the Yoruba provide caveats to the notion that networks themselves can be described or compared independently of their contexts in social process.     

社会网络与女性职业性别隔离

社会学理论认为,人们的社会网络具有性别偏好,这导致了男女求职结果的性别分化,并部分地解释了职业的性别隔离问题。本文根据2009年8大城市调查数据,分析了我国城市女性的职业性别隔离在何等程度上受社会网络的影响。分析结果表明:8大城市在职者的社会网络具有性别同质化倾向,女性和男性更多地与同性亲朋交往;使用强关系成功求职的女性往往进入性别隔离的女性职业;使用弱关系成功求职的女性能摆脱职业性别隔离趋向,进入中性职业或男性职业。     

Settings in Social Networks: A Measurement Model

A class of statistical models is proposed that aims to recover latent settings structures in social networks. Settings may be regarded as clusters of vertices. The measurement model is based on two assumptions. (1) The observed network is generated by hierarchically nested latent transitive structures, expressed by ultrametrics, and (2) the expected tie strength decreases with ultrametric distance. The approach could be described as model–based clustering with an ultrametric space as the underlying metric to capture the dependence in the observations. Bayesian methods as well as maximum–likelihood methods are applied for statistical inference. Both approaches are implemented using Markov chain Monte Carlo methods.     

Cohesiveness and goals in agency networks: Explaining conflict and cooperation

This paper examines principal and agent networks. We focus on networks because business research has placed far greater emphasis on the agency problem at the individual level. Our interest is in exploring the agency relationship at the group or network level. There are many variables at the group or network level which are absent when analyzing agency relationships at the individual level. Traditional theories of finance and economics do not adequately address or explain a host of behaviors that are inherent in human interactions that constitute organizational life. We include a sociological or behavioral approach in understanding this complex relationship. Using cohesiveness and shared goals as antecedents, we develop a theoretical model that predicts a range of relationship outcomes between principals and agents, as well as their impact on organizational goals. We explain that a range of relationships – including conflict, domination, exploitation, collaboration, and cooperation – is possible when networks of principals and agents interact.We argue that the social context is a key determinant of the relationship between actors in a network, and it has an important role in impacting cohesiveness and goal mutuality. The degree of cohesiveness within and between networks, and the extent to which goals are shared or are in conflict are the principal predictor variables we examine. We posit that cohesiveness and shared goals are necessary and sufficient conditions for agency problems between networks to be alleviated. Both necessary and sufficient conditions need to be met in order to overcome the problems of agency. The relationships we examine through the model include cooperation, collaboration, domination, opportunism, exploitation, and conflict. We present a number of propositions that theorize on the nature of the agency relationship and their impact on organizational goals. Implications for research and practice are also discussed.