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Employees not being able to express their thoughts and opinions about work has been argued to result in detrimental organizational outcomes. Employee silence has recently become a prevalent organizational issue but studies that have explored proximal and distal outcomes of silence are scarce. Therefore, the study explored anxiety and happiness as mediating mechanisms for the relationship between silence and psychological withdrawal and the moderating effect of social network services usage for the relationship between silence and the mediators. The study conducted a two-wave self-reported questionnaire and sampled 257 full-time employees. Anxiety and happiness were found to mediate the relationship and social network services moderated the relationships between silence with the mediators. Moreover, supplementary analysis found mediated moderation for the study. [ABSTRACT FROM AUTHOR]

Purpose: To investigate tweets about marijuana edibles for surveillance into the content of edibles-related tweets among individuals socially networking about this topic on Twitter.Design: Cross-sectional analysis of tweets containing edible marijuana-related key words during 1 month.Setting: Twitter.Participants: Tweets sent during January 1 to 31, 2015.Methods: A random sample of 5000 tweets containing edibles-related key words was coded for sentiment (positive, negative, and neutral) by crowdsourced workers. Tweets normalizing or promoting edibles use were further analyzed, and demographic characteristics of the Twitter handles sending these tweets were inferred.Results: Of the 5000 tweets, 4166 (83%) were about marijuana edibles, and of those 75% (3134 of 4166) normalized or encouraged edibles use. Nearly half (48%, 1509 of 3134) of the tweets normalizing edibles mentioned wanting or planning to consume, currently consuming, or recently consuming edibles, and 12% (378 of 3134) described the intense or long-lasting effects following use. Individuals whose tweets promoted/encouraged edibles use were more likely to be young (between 17 and 24 years old) and of a racial/ethnic minority (52% black; 12% Hispanic) when compared to the Twitter average.Conclusion: Tweets that normalize edibles use have the potential to increase their popularity. The prevalence of tweets about edibles' intense high could have implications for tailoring prevention messages that could be important for youth and young adult minorities who were inferred to be disproportionately socially networking about edibles on Twitter. [ABSTRACT FROM AUTHOR]

Social Network Analysis (SNA) is often criticised for being too quantitative in focus and network scientists have commented on a lack of engagement from qualitative researchers. This article will contribute to these debates by critically reflecting on a qualitative study of gambling where social network research methods were adapted and applied to narrative interviews. Egocentric sociograms (maps of participant social networks, using a name generation question and concentric circles) were created for 23 participants. These sociograms were used as an interactive tool, with the addition of coloured dots, to stimulate discussion and so generate rich narrative and visual data on the impacts of gambling behaviour on participants’ wider social networks. This approach represents an extension to existing SNA methods that has not previously been utilised. [ABSTRACT FROM AUTHOR]

Previous studies indicate the importance of experience for the performance of teams. Theory suggests that working together allows individuals to (a) improve their knowledge about who knows (and can do) what and (b) facilitates learning to combine individual resources efficiently. Yet it remains elusive how experience translates into interaction patterns in teams. Drawing on unique data of career histories of 800 players and 283,259 passes between these players in 760 English Premier League soccer matches, I propose a new measure for network experience and demonstrate how it relates to network intensity and decentralization in teams. Soccer teams exhibit a higher passing rate when players know each other from before. At the same time, network experience has no effect on the decentralization of team play. Further dyadic analyses confirm these findings. Controlling for selection effects, two players are more likely to pass the ball between each other when they know each other more. Network experience affects the way team members interact and ultimately leads to performance outcomes. [ABSTRACT FROM AUTHOR]

Scholars have long noted how migration streams, once initiated, obtain a self-feeding character. Studies have connected this phenomenon, called the cumulative causation of migration, to expanding social networks that link migrants in destination to individuals in origin. While extant research has established a positive association between individuals’ ties to prior migrants and their migration propensities, seldom have researchers interrogated how multiple social mechanisms—as well as exposure to common environmental factors—might account for these interdependencies. This article uses a mixed-methods strategy to identify the social mechanisms underlying the network effects in Mexico–U.S. migration. Three types of social mechanisms are identified, which all lead to network effects: (a) social facilitation, which is at work when network peers such as family or community members provide useful information or help that reduces the costs or increases the benefits of migration; (b) normative influence, which operates when network peers offer social rewards or impose sanctions to encourage or discourage migration; and (c) network externalities, which are at work when prior migrants generate a pool of common resources that increase the value or reduce the costs of migration for potential migrants. The authors first use large-sample survey data from the Mexican Migration Project to establish the presence of network effects and then rely on 138 in-depth interviews with migrants and their family members in Mexico to identify the social mechanisms underlying these network effects. The authors thus provide a deeper understanding of migration as a social process, which they argue is crucial for anticipating and responding to future flows. [ABSTRACT FROM AUTHOR]

Bureaucratic and patrimonial theories of organized crime tend to miss the history and mobility of crime groups integrating into and organizing with legitimate society. The network property of multiplexity—when more than one type of relationship exists between a pair of actors—offers a theoretical and empirical inroad to analyzing overlapping relationships of seemingly disparate social spheres. Using the historical case of organized crime in Chicago and a unique relational database coded from more than 5,000 pages of archival documents, we map the web of multiplex relationships among bootleggers, politicians, union members, businessmen, families, and friends. We analyze the overlap of criminal, personal, and legitimate networks containing 1,030 individuals and 3,726 mutual dyads between them. Multiplexity is rare in these data: only 10 percent of the mutual dyads contain multiplex ties. However, results from bivariate exponential random graph models demonstrate that multiplexity is a relevant structural property binding the three networks together. Even among our sample of criminals, we find dependencies between the criminal and personal networks and the criminal and legitimate networks. Although not pervasive, multiplexity glued these worlds of organized crime together above and beyond the personalities of famous gangsters, ethnic homophily, and other endogenous network processes. [ABSTRACT FROM AUTHOR]

This article refines our understanding of the building blocks of civic capacity. It argues that the development of civic capacity depends heavily on the tractability or “wickedness” of public problems. Problem tractability, in turn, depends on leaders’ ability to manage processes of learning and bargaining strategically by influencing policy networks, governance institutions, and collective cognitive frames. Longitudinal case studies of urban growth and transportation in Seattle highlight the benefits for civic capacity of building robust networks and legitimate, transparent governance institutions, and of adjusting the frames of debate in light of situational demands. The article concludes with propositions and implications for future research. [ABSTRACT FROM AUTHOR]

The Convoy Model suggests that at different stages of the lifespan the makeup of the social support network varies in step with developmental and contextual needs. Cultural norms may shape the makeup of social convoys as well as denote socio-demographic differences in social support. This study examines the social convoys of adults in Mexico. Specifically, it examines whether social network structure varies by age, gender, and education level, thus addressing the paucity of research on interpersonal relations in Mexico. A sample of 1,202 adults (18–99 years of age) was drawn from the Study of Social Relations and Well-being in Mexico. Hierarchical regression analyses indicated older adults had larger, more geographically proximate networks with a greater proportion of kin but less frequent contact. Women had larger, less geographically proximate networks with less frequent contact. Less educated individuals had smaller, more geographically proximate networks with more frequent contact and a greater proportion of kin. Age moderated gender and education effects indicated that younger women have more diverse networks and less educated older adults have weaker social ties. This study highlights socio-demographic variation in social convoys within the Mexican context, and suggests implications for fostering intergenerational relationships, policy, and interventions. Future research on Mexican convoys should further explore sources of support, and specifically address implications for well-being. [ABSTRACT FROM AUTHOR]

This study investigates Arab researchers’ attitudes and perceptions toward the use of academic social networks (ASNs), with a sharp topical focus on the ResearchGate (RG) network. From six Arab universities, a sample of 2,991 Arab researchers was invited to participate in the survey. The research instrument was a web-based questionnaire. In total, 315 participants filled out the questionnaire. The study reveals that three quarters of the respondents use ASNs to share publications, and most researchers subscribed to more than one ASN, but RG was the most frequently used one. Academic discipline appears to play a role in defining Arab researchers within RG, as the majority of them were from the pure and applied sciences. [ABSTRACT FROM AUTHOR]

This study examines the social network ties, motivations, and experiences of high-stakes volunteers (HSVs): individuals who fulfill long-term, consistent, and intense time commitments providing medical, social, and/or psychological assistance. Interview, focus group, and observational data from three settings (volunteer firefighting, victims’ services/advocacy, outreach for at-risk youth) were analyzed using qualitative methods. Accordingly, five types of HSVs (stable lifer, imbalanced lifer, conventionalist, professional, crusader) are presented and discussed. These findings advance theoretical insight into the variety of individuals who take on HSV roles and contribute to growing scholarship on diversified approaches to volunteer management. [ABSTRACT FROM AUTHOR]

Finding stable employment has been identified as one of the best predictors of post-release success among prisoners. However, offenders face a number of challenges in securing employment when released from prison. This article examines processes that shape the abilities and motivations of parolees to secure gainful employment by examining interview data collected from parolees in Queensland, Australia (n = 50). We explore the role of social networks and commercial employment providers in helping parolees find work, the perceived value of institutional work and training, and the meanings, challenges, and impact of managing the disclosure of one's criminal past to employers. Findings highlight that the role and influence of employment on a parolee's reintegration is conditional on his or her supportive social networks, ability to manage stigma, and personal changes in identity, which elevate the importance of work in a parolee's life. Our findings also show how employment provides opportunities for offenders to self-construct and articulate new identities. [ABSTRACT FROM AUTHOR]

Theories of urbanism suggest that the urban context erodes individuals' strong social ties with friends and family. Recent research has narrowed focus to the neighborhood context, emphasizing how localized structural disadvantage affects community-level cohesion and social capital. In this paper, we argue that neighborhood context also shapes social ties with friends and family-particularly for community-dwelling seniors. We hypothesize that neighborhood disadvantage, residential instability, and disorder restrict residents' abilities to cultivate close relationships with friends and family, regardless of whether they live in the same neighborhood. Using data from the National Social Life, Health, and Aging Project, we find that older adults who live in disadvantaged neighborhoods have smaller social networks. Neighborhood disadvantage is also associated with fewer close network ties and less frequent interaction-but only among men. Residents of disordered neighborhoods have both smaller networks and weaker ties. We urge scholars to pay greater attention to how neighborhood context contributes to disparities in network-based access to resources. [ABSTRACT FROM AUTHOR]

Objectives: One explanation for the increase in delinquency in adolescence is that young people are trapped in the so-called maturity gap: the discrepancy between biological and social maturation, which motivates them to engage in delinquency as a temporary means to bridge this gap by emphasizing their maturity. In the current study, we investigated to what extent the discrepancy between pubertal status (i.e., biological maturation) and autonomy in decision making (i.e., social maturation) is related to conflict with parents, which in turn predicts increasing levels of delinquency as well as substance use. Methods: Hypotheses were tested by means of path models in a longitudinal sample of adolescent boys and girls (N = 1,844; M age 13.02) from the Social Network Analyses of Risk behaviors in Early adolescence (SNARE) study using a one-year time interval. Results: Results indicate that biological maturation in interaction with social maturation predict conflict with parents, which in turn was related to higher levels of delinquency and substance use over time. No gender differences were found. Conclusions: These findings reveal that conflict with parents is an important mechanism, linking the interplay of biological and social maturation with delinquency and substance use in early adolescence for boys and girls. [ABSTRACT FROM AUTHOR]

How do the leaders of nonstate armed groups recruit new members? Most studies of recruitment of combatants focus on explaining the supply of fighters—who fights and what kinds of people volunteer to fight depending on the incentives offered. We know comparatively little about how the leaders of armed groups manage influxes of volunteers to ensure their quality. This article examines the questions of who recruits fighters, and how the capacities of recruiters affect the quality of the individuals who they recruit. The histories of three understudied civil militias in Sierra Leone are used to develop and refine a theory of screening in nonstate armed groups. Evidence from intensive fieldwork suggests that access to civilian information networks can allow the leaders of armed groups to successfully screen recruits and exclude low-quality types even when the pool of volunteers is flooded with opportunists. [ABSTRACT FROM AUTHOR]

Focusing on business leaders in control of Fortune 500 companies, this study examines corporate interlock among CEOs with security exchange commission (SEC) violations and CEOs without. Using affiliation networks built from publicly available information, we analyzed rates of participation (outdegree centrality), organizational influence (indegree centrality), and brokerage (betweenness centrality). The findings suggest that a single, integrated network exists. However, within these interlocking directorates, subsets of executives exhibit substantial cohesion suggesting the presence of distinct social circles. Only a few organizations and individuals were found to link the subset of offending CEOs to their law-abiding counterparts. Moreover, SEC violators were more socially isolated, thereby increasing the influence of weak ties to active executives playing a controlling role within the network. [ABSTRACT FROM AUTHOR]

Social network analysis (SNA) conducted on criminal networks can identify key players and shed light on important patterns of connectivity. This information can be used to develop interventions to dismantle or disrupt criminal networks. Drawing upon the network capital construct, this study demonstrates that integrating centrality measures (such as degree or betweenness centrality) with other individual attributes related to functional roles and access to tangible and intangible resources will enhance efforts to identify critical actors. Using a drug trafficking network that operated in Australia in the 1990s, we identify actors who are key to the network by virtue of their position in the network, their attributes, and combinations of these factors. Implications for law enforcement practice are discussed. [ABSTRACT FROM AUTHOR]

Building on recent studies of social pressure and group conformity in peer groups, I apply a social identity framework from social psychology to the study of political networks. Using the American National Election Studies (ANES) 2008-2009 Panel Study, I test several hypotheses regarding the relationship between peer networks, the salience of partisan identity, and the consequences for intergroup attitudinal and affective polarization. The findings suggest that peer network homogeneity produces the strongest association with more salient partisan identities across several network characteristics, including cohesiveness, sophistication, and density. Both the salience of partisan identities and network homogeneity are also linked to significant intergroup polarization, that is, differences in in-group and out-group partisan affect. The current research contributes to the existing literature on political networks by highlighting the role of social identities and providing a theoretical framework worth considering for future research. [ABSTRACT FROM PUBLISHER]

Using the emergent friendship network of an incoming cohort of students in an M.B.A. program, we examined the role of extraversion in shaping social networks. Extraversion has two important implications for the emergence of network ties: a popularity effect, in which extraverts accumulate more friends than introverts do, and a homophily effect, in which the more similar are two people’s levels of extraversion, the more likely they are to become friends. These effects result in a systematic network extraversion bias, in which people’s social networks will tend to be overpopulated with extraverts and underpopulated with introverts. Moreover, the most extraverted people have the greatest network extraversion bias, and the most introverted people have the least network extraversion bias. Our finding that social networks were systematically misrepresentative of the broader social environment raises questions about whether there is a societal bias toward believing other people are more extraverted than they actually are and whether introverts are better socially calibrated than extraverts. [ABSTRACT FROM PUBLISHER]

Stochastic actor-based models for network dynamics have the primary aim of statistical inference about processes of network change, but may be regarded as a kind of agent-based models. Similar to many other agent-based models, they are based on local rules for actor behavior. Different from many other agent-based models, by including elements of generalized linear statistical models they aim to be realistic detailed representations of network dynamics in empirical data sets. Statistical parallels to micro–macro considerations can be found in the estimation of parameters determining local actor behavior from empirical data, and the assessment of goodness of fit from the correspondence with network-level descriptives. This article studies several network-level consequences of dynamic actor-based models applied to represent cross-sectional network data. Two examples illustrate how network-level characteristics can be obtained as emergent features implied by microspecifications of actor-based models. [ABSTRACT FROM PUBLISHER]

In this study, caseworkers provided information regarding a mother's number and quality of social supports and whether an infant was removed from her care. Analyses indicated that infants were less likely to be removed from the mother's care when caseworkers viewed maternal social supports as positive. This association was strongest when the caseworker identified only positive supports, with no contacts defined as nonpositive. Mothers who were assessed to have no intimate relationship or low level of commitment were nearly twice as likely to have their children in foster care compared to mothers assessed to be in a mid-to-high level of committed relationship. Results suggest that caseworkers' distinctions between positive and nonpositive social networks influence removal decisions. [ABSTRACT FROM AUTHOR]

In this article, we provide an overview of social network research in health care, with a focus on social interactions between professionals in organizations. We begin by introducing key concepts defining the social network approach, including network density, centrality, and brokerage. We then review past and current research on the antecedents of health care professionals’ social networks—including demographic attributes, professional groups, and organizational arrangements—and their consequences—including satisfaction at work, leadership, behaviors, knowledge transfer, diffusion of innovation, and performance. Finally, we examine future directions for social network research in health care, focusing on micro–macro linkages and network dynamics. [ABSTRACT FROM AUTHOR]

Although popularly perceived as a positive force important for objectives such as economic development and democracy, social capital may also be linked to less desirable outcomes. This article highlights a dark side to social capital by pointing to its role in a particularly pernicious phenomenon: genocidal violence. Drawing on a survey of residents from one community that experienced violence during Rwanda's 1994 genocide, I show that individual participation in the violence was partly determined by the features of residents' social networks. Perpetrators possessed larger networks in general and more connections to other perpetrators in particular. The quality as well as quantity of connections also mattered. Strong ties generally, and kinship and neighborly ties specifically, were strong predictors of participation. In contrast, possession of countervailing ties to nonparticipants did not reduce a resident's likelihood of participation. Drawing on in-depth interviews to explore the possible mechanisms behind these findings, I suggest participants' networks fulfilled functions of information diffusion, social influence, and behavioral regulation. More broadly, the findings suggest the importance of social structure and social interaction for participation in collective violence. Relational data should complement individual attribute data in predicting participation. The findings also suggest, contrary to the neo-Malthusian interpretation, that the role played by Rwanda's extraordinarily high population density in the violence may have been more sociological than ecological in origin. The diffusion, influence, and regulatory effects of social connections are likely to be amplified in communities where individuals live in close spatial proximity to each other. [ABSTRACT FROM PUBLISHER]

Change in group size and composition has long been an important area of research in the social sciences. Similarly, interest in interaction dynamics has a long history in sociology and social psychology. However, the effects of endogenous group change on interaction dynamics are a surprisingly understudied area. One way to explore these relationships is through social network models. Network dynamics may be viewed as a process of change in the edge structure of a network, in the vertex set on which edges are defined, or in both simultaneously. Although early studies of such processes were primarily descriptive, recent work on this topic has increasingly turned to formal statistical models. Although showing great promise, many of these modern dynamic models are computationally intensive and scale very poorly in the size of the network under study and/or the number of time points considered. Likewise, currently used models focus on edge dynamics, with little support for endogenously changing vertex sets. Here, the authors show how an existing approach based on logistic network regression can be extended to serve as a highly scalable framework for modeling large networks with dynamic vertex sets. The authors place this approach within a general dynamic exponential family (exponential-family random graph modeling) context, clarifying the assumptions underlying the framework (and providing a clear path for extensions), and they show how model assessment methods for cross-sectional networks can be extended to the dynamic case. Finally, the authors illustrate this approach on a classic data set involving interactions among windsurfers on a California beach. [ABSTRACT FROM PUBLISHER]

This study investigates whether peer influence on smoking among adolescents is asymmetrical. We hypothesize that several features of smoking lead peers to have a stronger effect on smoking initiation than cessation. Using data from the National Longitudinal Study of Adolescent Health we estimate a dynamic network model that includes separate effects for increases versus decreases in smoking, while also controlling for endogenous network change. We find that the impact of peer influence is stronger for the initiation of smoking than smoking cessation. Adolescents rarely initiate smoking without peer influence but will cease smoking while their friends continue smoking. We discuss the implications of these results for theories of peer influence and health policy. [ABSTRACT FROM AUTHOR]

Past research has documented age differences in the size and composition of social networks that suggest that networks grow smaller with age and include an increasingly greater proportion of well-known social partners. According to socioemotional selectivity theory, such changes in social network composition serve an antecedent emotion regulatory function that supports an age-related increase in the priority that people place on emotional well-being. The present study employed a longitudinal design with a sample that spanned the full adult age range to examine whether there is evidence of within-individual (developmental) change in social networks and whether the characteristics of relationships predict emotional experiences in daily life. Using growth curve analyses, social networks were found to increase in size in young adulthood and then decline steadily throughout later life. As postulated by socioemotional selectivity theory, reductions were observed primarily in the number of peripheral partners; the number of close partners was relatively stable over time. In addition, cross-sectional analyses revealed that older adults reported that social network members elicited less negative emotion and more positive emotion. The emotional tone of social networks, particularly when negative emotions were associated with network members, predicted daily emotional experience. These findings were robust after taking into account demographic variables and physical health. The implications of these findings are discussed in the context of socioemotional selectivity theory and related theoretical models. [ABSTRACT FROM PUBLISHER]

Why do the poor spend more on lottery tickets than their wealthier and better educated peers? While social scientists generally agree that there is an inverse relationship between socio-economic position and patterns of lottery play, there is debate on what factors cause lottery gambling. Using survey data from a nationwide probability sample, we test three sociological approaches – socio-structural, cultural and social network accounts – to explain why the poor play the lottery. While controlling for cognitive bias theory, we find that peer play, educational attainment and self-perceived social deprivation have strong effects on lottery play. Culture, the study finds, plays a much lesser role. Although lottery players demonstrate fatalistic value orientations, it is not a lack of a ‘Protestant’ work ethic that makes the poor spend proportionally more on lottery tickets. The findings of this study generally point to the importance of social structures in explaining lottery gambling. [ABSTRACT FROM PUBLISHER]

The integration of young immigrants is a key issue in European societies. The article examines how Moroccan and Romanian youths employ their family social networks to move beyond them to get access to other available resources in their context of migration. We find that youths evaluate families as their main source of social capital. But how do they combine family and kinship resources to build new networks? The study draws on 57 in-depth interviews with teenagers from secondary schools in the Veneto Region, a paradigmatic area for the increasing ethnic pluralization of Italian society. Moving beyond the usual understandings of social capital and social networks we focus first on the relationship between bonding and bridging, in particular the distinction between horizontal and vertical bridging among migrants. Then attention is paid to the agency of youths, stressing their social competence to overcome initial difficulties such as gender inequalities or the limits of bonding solidarity. [ABSTRACT FROM PUBLISHER]

What are the conditions under which resources embedded in the social networks of entrepreneurs can be accessed and mobilized in purposive action? We interviewed a sample of 10 native Dutch and 22 immigrant entrepreneurs in the Netherlands. Trust was an important facilitator of social support from so-called ‘strong ties’ and proved effective in maintaining already established relations with ‘weak ties’. Accessing social support through weak ties, however, appeared more difficult due to distrust and discrimination. This applied particularly to immigrant entrepreneurs working in a neighborhood with a low concentration of immigrants: a context making ethnicity more salient. In this context distrust and discrimination coincided with problematic access to Dutch clientele and less collaboration with Dutch businessmen. [ABSTRACT FROM PUBLISHER]

Recent research suggests that supportive relationships between coworkers benefit worker well-being. Less is known about the distribution of social support among different groups of workers. In this article, we use data from a random sample of state employees to examine whether black and white workers differ in the number of ties they have to coworkers, the quality of these ties, and the effects of social support on workplace emotional experiences. Our findings suggest that compared to their white counterparts, African Americans are disadvantaged in terms of workplace social ties and perceived coworker support. Race differences in job characteristics do not explain these differences; however, there is some evidence that the racial composition of the workplace may influence the formation of workplace social ties. In addition, both black and white workers experience similar emotional benefits of social support. [ABSTRACT FROM PUBLISHER]

This paper examines how interpersonal social networks relate to the voting behavior of men and women. We argue that underlying the gender gap in voting is related to social processes that depend on the partisan and sex composition of networks. Analysis of the 2000 American National Election Study identified two ways that sex differences are relevant to network explanations of voting behavior. First, men have more sex homophily in their networks than women. As men are more likely to be Republican than women, this leads to different discussion environments for men and women. Second, men—and not women—are more likely to share the political opinion of women discussants, but only when they are pro-Bush and the remainder of the network is also supportive. The results support a social model of voting behavior that highlights the importance of social factors (in this case sex) other than just partisan differences. [ABSTRACT FROM PUBLISHER]

In an age in which social networking sites have become the preferred way of socializing online, the question of how to think about the contours of friendship in and through these mediated spaces becomes all the more important. In contrast to much existing research on online friendship, this article takes on a software-sensitive approach. Through a close reading of various sociotechnical processes in which friendship is activated on Facebook (i.e., registering, making a profile, finding friends, communicating, etc.), this article suggests that friendships online need to be understood as a gathering of heterogeneous elements that include both humans and nonhumans. Moreover, this article attempts to show how the traditional notion of friendship as something created between equals and free of structural constraints does not apply to the realm of social networking sites, where software increasingly assists users in making certain choices about who will and who will not be their friends. [ABSTRACT FROM PUBLISHER]

This article presents results from an investigation of the association between student academic performance and social ties. Based on social capital and networked learning research, we hypothesized that (a) students’ social capital accumulated through their course progression is positively associated with their academic performance and (b) students with more social capital have significantly higher academic performance (operationalized as grade point average). Both hypotheses were supported by results of an empirical study that analyzed 10 years of student course enrolment records (N = 505) in a master’s degree program offered through distance education at a Canadian university. These results are consistent with previous studies that looked at social networks built through student interaction in classrooms or computer-mediated communication environments. The significance of this research lies in the simplicity of the method used to establish student social networks from existing course registration records readily available through an institution’s student information system. Direct implications of this research are that (a) study plans for students should consider investment in building new social ties in each course during degree programs and (b) readily available data about cross-class networks can be used in software systems supporting study planning. [ABSTRACT FROM PUBLISHER]

Teachers’ social networks can play an important role in teacher learning and organizational change. But what influences teachers’ networks? Why do some teachers have networks that are likely to support individual and organizational change, while others do not? This study is a first step in answering this question. We focus on how district policy influences the quality and configuration of teachers’ social networks. We draw on a longitudinal, qualitative study of implementation of a mathematics curriculum in four schools. We show that district policy (1) shaped the tie formation process, influencing the structure of networks; (2) mobilized resources that teachers subsequently accessed via their networks, influencing the benefits accrued through network exchanges; and (3) introduced interaction routines that interrupted conventional ways that teachers talked together. We thus uncover heretofore unexplored facets of network formation and change. We also provide insight into dimensions of social networks that are amenable to outside intervention. [ABSTRACT FROM PUBLISHER]

This article provides a new comparative methodology for the study of party–voter linkages from the perspective of voters, where the critical question that distinguishes clientelistic from programmatic parties is access to publicly provided benefits. In the former case, partisan networks mediate access to goods. In the latter, beneficiaries are defined by policy and access is independent from partisan distribution networks. We show that these different access mechanisms shape voters’ distributive expectations and the nature of their linkages to political parties by developing a unique methodology to measure party networks. We test it using original survey data from Argentina and Chile and show variation both across and within countries on party–voter linkages based on differential access to benefits and parties’ organizational capacity. [ABSTRACT FROM PUBLISHER]

Objectives. Drawing from social network and life-course frameworks, the authors extend Hagan's concept of criminal embeddedness to embeddedness within gangs. This study explores the relationship between embeddedness in a gang, a type of deviant network, and desistance from gang membership. Method. Data were gathered over a five-year period from 226 adjudicated youth reporting gang membership at the baseline interview. An item response theory model is used to construct gang embeddedness. The authors estimate a logistic hierarchical linear model to identify whether baseline levels of gang embeddedness alter the longitudinal contours of gang membership. Results. Gang embeddedness is associated with slowing the rate of desistance from gang membership over the full five-year study period. Gang members with low levels of embeddedness leave the gang quickly, crossing a 50 percent threshold in six months after the baseline interview, whereas high levels of embeddedness delays similar reductions until about two years. Males, Hispanics, and Blacks were associated with greater continuity in gang membership as well as those with low self-control. Conclusions. The concept of gang embeddedness broadens understanding of heterogeneity in deviant network immersion and is applicable to a wide range of criminal and delinquent networks. Gang embeddedness has implications for studying the parameters of gang careers and for a range of criminological outcomes. [ABSTRACT FROM AUTHOR]

Purpose. When a patient is diagnosed with lung cancer, members of his/her social network may be more likely to engage in smoking cessation efforts. Proactive telephone counseling combined with a tailored self-directed intervention may be more effective at fironioting smoking cessation than a tailored self-directed intervention alone. Design. Randomized controlled triaL Setting. Four clinical sites. Subjects. Current smokers who are family members and close friends of patients with lung cancer Intervention. Six counselo,tinitiated counseling calls using motivational interviewing techniques and focusing on teaching adaptive coping skills based on the transactional model of stress and coping along with tailored self-directed materials (including nicotine patches, if not contraindicated) (n = 245) vs. tailored self-directed materials (including nicotine patches, if not contraindicated) (n = 251). Measures. Participants were surveyed at baseline and at 2 weeks, 6 months, and 12 months participants. The outcome was 7-day point prevalent abstinence. Analysis. The objective of this study was to test for arm d!ffcences in smoking cessation rates at 2 weeks and 6 months postinlervention (primary) and at 12 months postintervention (secondaiy,). Results. We found no overall effect of the proactive intervention on cessation rates. Among younger participants (age <50), the cessation rate in the intervention group was higher titan in the control group at 2 weeks postintervention (16% vs. 4 %, p = .046). For older participants (age >50), there were no group differences. Conclusion. Proactive telephone counseling focusing on adaptive coping skills was difficult to implement among smokers in bung cancer patients' social network. Although this study did not demonstrate any added benefit to cessation rates, this null finding may be a result of an intervention that was weaker than intended, owing to difficulties in completing the counseling phone calls. We discuss lessons learned and areas for future research in this special population. [ABSTRACT FROM AUTHOR]

This article empirically examines the effect of social background, education, and school organization on adolescent tobacco use in the Netherlands. We test theories of norm enforcing and horizon expanding social networks and distinction by examining the relationship between daily smoking behavior and school organization. Using the 2007 Dutch National School Survey on Substance Use, we find that individual student characteristics are more important predictors than school characteristics. Importantly, social background effects are clearly mediated by school tracks, suggesting that tracking helps us to explain social gradients in substance use. However, school context plays almost no role in adolescent smoking behavior. One exception concerns students in the general track, for whom we find that smoking is further reduced when they are placed in the same school organization as students of the vocational track. This is in line with the theory that tracking differences are magnified in a context where interaction between students from different tracks is promoted. [ABSTRACT FROM PUBLISHER]

Using data from a national survey of 465 American Muslims conducted just after the 2008 election season, the authors assess whether American Muslims are invested in the practices (political discussion, especially across lines of difference) and norms (tolerance) that many theorists suggest are crucial to the maintenance of liberal democracy. The authors find that American Muslims tend to be intolerant of acts against religion. The authors’ explanation draws on intergroup relations theory, finding that post–September 11, 2001, discrimination served an educational function boosting tolerance, and disagreement in Muslim social networks tends to depress tolerance unless it is with an in-group discussion partner. [ABSTRACT FROM PUBLISHER]

This article explores the role of ‘critical mass’ and social networks in the generation of collective action. Drawing on qualitative and quantitative (social network) data, the article argues that both are pivotal in the process whereby collective action takes shape. The empirical focus of the article is student politics but it is argued that the mechanisms and dynamics identified have a much wider domain of application. [ABSTRACT FROM PUBLISHER]

This article investigates green party members’ activism in the environmental movement and tests how a number of predictors, theoretically suggested in the past yet rarely empirically tested, can account for it. The authors’ analysis is based on an extensive data set of members of 15 green parties in 12 European countries (N = 6,639). This article finds that members’ activism can be accounted for largely by network and identity variables, as suggested by social movements’ scholars, whereas “new social movements” theories did not adequately explain environmental activism. Thus, network or identity variables, such as past activism, membership in environmental organizations, and activism in other social movements, are significant in the multivariate model. A number of alternative models are significant alone but not when network or identity variables are added to the model: postmaterialism, a “new environmental paradigm” worldview, and political attitudes. Although age, rational choice considerations, and new middle-class placement remain statistically significant, yet—for the latter case—its effect is negative. Macro-level variables, such as the green party’s governmental experience, the country’s quality of natural environment as well as environmental policies, were also found to have statistically significant effects on activism. [ABSTRACT FROM PUBLISHER]

Although research supports the stigma and labeling perspective, empirical evidence also indicates that a social safety net remains intact for those with mental illness, recalling the classic “sick role” concept. Here, insights from social networks theory are offered as explanation for these discrepant findings. Using data from individuals experiencing their first contact with the mental health treatment system, the effects of diagnosis and symptoms on social networks and stigma experiences are examined. The findings suggest that relative to those with less severe affective disorders, individuals with severe diagnoses and more visible symptoms of mental illness have larger, more broadly functional networks, as well as more supporters who are aware of and sympathetic toward the illness situation. However, those with more severe diagnoses are also vulnerable to rejection and discrimination by acquaintances and strangers. These findings suggest that being formally labeled with a mental illness may present a paradox, simultaneously initiating beneficial social processes within core networks and detrimental ones among peripheral ties. [ABSTRACT FROM PUBLISHER]

Many basic questions in the social network literature center on the distribution of aggregate structural properties within and across populations of networks. Such questions are of increasing relevance given the growing availability of network data suitable for meta-analytic studies, as well as the rise of study designs that involve the collection of data on multiple networks drawn from a larger population. Despite this, little work has been done on model-based inference for the properties of graph populations, or on methods for comparing such populations. Here, we attempt to rectify this gap by introducing a family of techniques that combines an existing approach to the identification of structural biases in network data (the use of conditional uniform graph quantiles) with strategies drawn from nonparametric Bayesian analysis. Conditional uniform graph quantiles are the quantiles of an observed structural property in the reference distribution produced by evaluating that property over all graphs with certain fixed characteristics (e.g., size or density). These quantiles have long been used to measure the extent to which a property of interest on a single network deviates from what would be expected given that network's other characteristics. The methods introduced here employ such quantile information to allow for principled inference regarding the distribution of structural biases within (and comparison across) populations of networks, given data sampled at the network level. The data requirements of these methods are minimal, thus making them well-suited to meta-analytic applications for which complete network data (as opposed to summary statistics) are often unavailable. The structural biases inferred using these methods can be expressed in terms of posterior predictives for familiar and easily communicated quantities, such as p-values. In addition to the methods themselves, we present algorithms for posterior simulation from this model class, illustrating their use with applications to the analysis of social structure within urban communes and radio communications among emergency personnel. We also discuss how this approach may applied to quantiles arising from other reference distributions, such as those obtained using general exponential-family random graph models. [ABSTRACT FROM AUTHOR]

General random graphs (i.e., stochastic models for networks incorporating heterogeneity and/or dependence among edges) are increasingly in wide use in the study of social and other networks, but few techniques other than simulation have been available for studying their behavior. On the other hand, random graphs with independent edges (i.e., the Bernoulli graphs) are well-studied, and a large literature exists regarding their properties. In this paper, we demonstrate a method for leveraging this knowledge by constructing families of Bernoulli graphs that bound the behavior of an arbitrary random graph in a well-defined sense. By studying the behavior of these Bernoulli graph bounds, we can thus constrain the properties of a given random graph. We illustrate the utility of this approach via application to several problems from the social network literature, including identifying degeneracy in Markov graph models, studying the potential impact of tie formation mechanisms on epidemic potential in sexual contact networks, and robustness testing of inhomogeneous Bernoulli models based on geographical covariates. Practical heuristics for assessing bound tightness and guidance for use in theoretical and methodological applications are also discussed. [ABSTRACT FROM AUTHOR]

This article reports findings from an ESRC-funded investigation into the interface between Sex and Relationship Education (hereafter SRE) and young people’s experiences as mediated by the interconnections of class, gender and heterosexuality. The article focuses on how young women’s gendered heterosexual practices, alongside educational aspirations, are given meaning by the values embedded in classed circumstances, social networks and relationships. Developing a ‘relational’ approach, the conceptual framework combines different levels of analysis and complicates the idea of a simple workingclass/middle-class dichotomy. The empirical data are drawn from one-to-one interviews and focus groups with 69 young people, aged 15 to 21 years old, although only women’s narratives are presented. I argue that understanding how young people draw on normative discourses about gendered heterosexuality, as well as class-related practices and aspirations as embedded in particular social networks, provides greater insight into theorizing the regulation of sexual identities as linked to SRE messages. [ABSTRACT FROM PUBLISHER]

Uncovering the resiliency of ties between individuals involved in criminal enterprise will contribute to our understanding of how illicit markets function. To examine activities along the entire drug market commodity chain, this study extracted information about individuals involved or associated with trafficking (1,998 people) from police intelligence reports generated from 2004 to 2006. Significant differences were found for centrality and cohesion across market niches. Results show that the highest fragmentation potential lies with individuals who are involved with smuggling, supply, and financing, particularly when these individuals are also involved in other niches. Variability in small-world and scale-free properties suggest that interdiction strategies must be tailored to niche characteristics. [ABSTRACT FROM PUBLISHER]

This article contributes to exploring the comparative effects of market mechanisms and social networks and the interplay of human capital and social networks in western labour markets. We examine social networks and occupational attainment by using data from the 2007 Australian Survey of Social Attitudes and provide three major findings: (1) as a job search method, social networks are associated with lower earnings and occupational status and a lower probability of entering a professional or managerial position than market-oriented job search methods; (2) jobs that are found using strong ties have lower occupational attainment than jobs found using weak ties; and (3) the poorer occupational attainment outcomes associated with social networks are only observed among those without university degrees. [ABSTRACT FROM PUBLISHER]

The aims of this study were to examine the mentoring and social network experiences of Latino youth during the high school transition. A mixed-methods approach was used to examine participants’ natural mentoring relationships before and after the transition along with the broader social networks of youth. A total of 32 Latino participants completed quantitative surveys before the high school transition and then participated in qualitative interviews 1 year later. Having a mentor at Time 1 predicted having a mentor at Time 2. Findings revealed three mentoring groups: participants with mentors at both time points, participants with a mentor at one time point, and nonmentored participants. Participants who had mentors at both time points had rich and varied social networks, whereas participants in the other two groups had limited social networks with little support. Implications and future directions for mentoring research and programs are discussed. [ABSTRACT FROM PUBLISHER]

The article researches a globalized workplace and associated relationships between social networks and organizational commitment. Research findings reportedly indicate that network size, power connection, and national or ethnic composition of employees affect organizational commitment. Also noted is the influence of instrumental or expressive content in the relationships. Findings are said to indicate that opportunities for commitment to an organization depend on characteristics of the social networks of employees.

An increasing number of people today live with chronic diseases that affect their quality of life and that of their families. Health professionals confirm this finding based on their clinical interventions targeting families of chronically ill patients. The aim of this study was to describe and evaluate these interventions. A systematic literature review was conducted, including previous reviews and controlled studies from 1997 to 2007 of interventions targeting caregivers of adults with stroke, diabetes, cardiovascular disease, and cancer . Ten out of the 32 studies included found the interventions to have no effect, whereas effects were found in the other 22 studies in one or more areas, including burden, knowledge level, mastering skills, and satisfaction. The literature review concludes that the impact of these interventions is neither unique nor significant. The defined concepts of the randomized clinical studies appear problematic when implemented and underscore the importance of strict requirements on future randomized, controlled designs. [ABSTRACT FROM AUTHOR]

A recurrent problem in the analysis of behavioral dynamics, given a simultaneously evolving social network, is the difficulty of separating the effects of partner selection from the effects of social influence. Because misattribution of selection effects to social influence, or vice versa, suggests wrong conclusions about the social mechanisms underlying the observed dynamics, special diligence in data analysis is advisable. While a dependable and valid method would benefit several research areas, according to the best of our knowledge, it has been lacking in the extant literature. In this paper, we present a recently developed family of statistical models that enables researchers to separate the two effects in a statistically adequate manner. To illustrate our method, we investigate the roles of homophile selection and peer influence mechanisms in the joint dynamics of friendship formation and substance use among adolescents. Making use of a three-wave panel measured in the years 1995-1997 at a school in Scotland, we are able to assess the strength of selection and influence mechanisms and quantify the relative contributions of homophile selection, assimilation to peers, and control mechanisms to observed similarity of substance use among friends. [ABSTRACT FROM AUTHOR]