Shared contexts and triadic closure in core discussion networks

This paper inquires into structural explanations for triadic closure in networks of confidants with whom one discusses important personal matters. Building upon the assumption that meeting opportunities affect network characteristics, we primarily argue that the social contexts in which network members meet, substantially affect triadic closure. The main empirical findings are (a) that about sixty percent of the triads in core discussion networks are closed triads, which also means that a substantial part of one's strong relations is unconnected, and (b) that meeting network members in the same social contexts is an important condition for, but certainly does not guarantee triadic closure. Importantly, the specific characteristics of social contexts explain why sharing certain contexts positively affects triadic closure, while sharing other contexts does not.     

Psychological predispositions and network structure: The relationship between individual predispositions,structural holes and network closure

We examine the effect of individual psychological differences on network structures, proposing several hypotheses about how individual differences might predispose actors to structure their social environment by seeking network closure or by sustaining structural holes. We introduce a new triad census method to examine personal networks of strong and weak ties. For 125 egocentric networks we correlated the triad census results with several extensively researched psychological instruments. The triad census reduced to three principal components, describing central aspects of strength-of-weak-ties and structural holes theories. Psychological predispositions explained a significant proportion of the variance in each of these components. Our results suggest that people who see themselves vulnerable to external forces tend to inhabit closed networks of weak connections. On the other hand, people who seek to keep their strong tie partners apart, and thereby bridge structural holes, tend to be individualists, to believe that they control the events in their lives, and to have higher levels of neuroticism. Finally, people with strong network closure and “weak” structural holes (as with the “strength of weak ties”) tend to categorize themselves and others in terms of group memberships. They also tend to be more extraverted and less individualistic.     

Fundamental principles of network formation among preschool children

The goal of this research was to investigate the origins of social networks by examining the formation of children's peer relationships in 11 preschool classes throughout the school year. We investigated whether several fundamental processes of relationship formation were evident at this age, including reciprocity, popularity, and triadic closure effects. We expected these mechanisms to change in importance over time as the network crystallizes, allowing more complex structures to evolve from simpler ones in a process we refer to as structural cascading. We analyzed intensive longitudinal observational data of children's interactions using the SIENA actor-based model. We found evidence that reciprocity, popularity, and triadic closure all shaped the formation of preschool children's networks. The influence of reciprocity remained consistent, whereas popularity and triadic closure became increasingly important over the course of the school year. Interactions between age and endogenous network effects were non-significant, suggesting that these network formation processes were not moderated by age in this sample of young children. We discuss the implications of our longitudinal network approach and findings for the study of early network developmental processes.     

Movement‐Based Influence: Resource Mobilization,Intense Interaction,and the Rise of Modernist Architecture

We argue that the long‐term influence of actors in fields of cultural production depends on the opportunities for resource mobilization offered by external conditions combined with intense interaction among actors. Using a unique data set of 1,143 architects active between 1890 and 1940, at a time of large‐scale socioeconomic transformations and political disruption, we find by multiple regression analysis that exposure to industrialization and political upheaval, and halo effects in an architect's network of collaborators predict greater ultimate impact, while urbanization and professional affiliations do not. Theory of social movements and theory of cultural production thus have important implications for each other.     

Network centrality and social movement media coverage: A two-mode network analytic approach

This article examines the relationship between structural location (namely, degree centrality) and news media coverage. Our central hypothesis is that the network centrality of social movement actors is positively associated with the prevalence of actors being cited in the print news media. This paper uses two-mode data from a communication network of environmentalists in British Columbia, and examines the relationship between their structural location and the frequency by which they are cited in newsprint media with regard to particular frames (about forest conservation, environmental protest, and related issues). We asked a sample of social movement participants about their ties to a target list of relatively high profile actors (environmental activists). We turned the resulting network matrix into a bipartite graph that examined the relationships amongst the target actors vis a vis the respondents. Next we calculated point in-degree for the target actors. For the target actors we also have data from a representative sample of 957 print news articles about forestry and conservation of old growth forests in British Columbia. We compare the effects of network centrality of the target actor versus several attributes of the target actors (gender, level of radicalism, leadership status) on the amount of media coverage that each of the target actors receives. We find that network centrality is associated with media coverage controlling for actor attributes. We discuss theoretical implications of this research. Finally, we also discuss the methodological pros and cons of using a “target name roster” to construct two-mode data on social movement activists.     

THE TURN TO THINGS:

Things and artifacts are usually treated in sociological theory as marginal, irrelevant, or passive with respect to the production of social order. In contrast to that, in the past decade the sociology of knowledge and science has developed several aproaches that stress the processual character of the cognitive relationships between human actors and artifacts. In this perspective, both human actors and things appear as active entities involved in the production of social order. As knots of socially sanctioned knowledge, things shape the temporal structures, allowing for social order to be stabilized and reproduced. From the viewpoint of the cognitive relationships between human actors and things, the distribution and transfer of cognitive properties and dispositions in a network of such relationships is central with respect to these processes. Starting from a detailed examination of these arguments, this article argues that social order cannot be conceived exclusively as a web of intersubjective relationships. It discusses the methodological and conceptual implications of treating artifacts as active social entities, arguing for their general theoretical relevance with respect to the ways we conceive the constitution of society.     

Social Capital in Wide Family Contexts: An Empirical Assessment Using Social Network Methods

Using a sociometric approach to family relationships, we test the hypothesis that the way individuals define their family context has a strong impact on the types and amount of social capital available to them. Binding social capital is defined in terms of network closure, i.e. a redundancy of ties within a group. From this perspective, social capital is to be found in groups with a high density of connections, network closure enhancing expectations, claims, obligations and trust among individuals because of the increase of normative control. Bridging social capital is an alternative way of defining family social capital as a function of brokerage opportunities: the weaker connections between subgroups of a network create holes in the social structure which provide some persons—brokers—with opportunities to mediate the flow of information between group members and hence control the projects that bring them together. Using a sample of college students from Switzerland, we found that family contexts based on blood relationships such as those with grandparents, uncles, aunts and cousins, provide a ‘binding’ type of social capital, whereas family contexts based on friendship provide a ‘bridging’ type of social capital. Inclusion of stepparents is associated with neither type of social capital.     

Relational collaboration among spatial multipoint competitors

The presence of network ties between multipoint competitors is frequently assumed but rarely examined directly. The outcomes of multipoint competition, therefore, are better understood than their underlying relational mechanisms. Using original fieldwork and data that we have collected on an interorganizational network of patient transfer relations within a regional community of hospitals, we report and interpret estimates of Exponential Random Graph Models (ERGM) that specify the probability of observing network ties between organizations as a function of the degree of their spatial multipoint contact. We find that hospitals competing more intensely for patients across multiple geographical segments of their market (spatial multipoint competitors) are significantly more likely to collaborate. This conclusion is robust to alternative explanations for the formation of network ties based on organizational size differences, resource complementarities, performance differentials, and capacity constraints. We show that interorganizational networks between spatial multipoint competitors are characterized by clear tendencies toward clustering and a global core-periphery structure arising as consequences of multiple mechanisms of triadic closure operating simultaneously. We conclude that the effects of competition on the structure of interorganizational fields depends on how markets as physical and social settings are connected by cross-cutting network ties between competitors.     

Social Entrepreneurship in Communities

The United States ranks low on many measures of population health. In addressing this societal problem, nonprofit health conversion foundations are emerging as important, local social entrepreneurs. We investigated the processes by which these organizations create and implement locally situated innovative approaches to promote health and wellness. Using an inductive, qualitative approach, we identified central themes by which conversion foundations, as social entrepreneurs, developed collaborative solutions to health. We found that they defined the social problem, generated social capital in the community, and educated potential partners. These mechanisms helped build a groundwork for collaboration among community actors. Conversion foundations then convened partners with complementary competencies to develop creative solutions. This research contributes to the literature on social entrepreneurship and nonprofits by expanding understanding of how foundations can foster community collaborations to develop innovative solutions to social problems. Further, this study sheds light on the activities and processes of nonprofit health conversion foundations as actors with the potential to improve population health.     

Groundwork for community-based conservation: Strategies for social research

Diane Russell and Camilla Harshbarger have tried to understandthe constraints and opportunities for local partners in conservation.They see this as the first step for social actors and conservationistswho want to understand and work with institutions that are significantfor local people. They have prepared this book based on theirhard-won field experiences in rural regions of the tropics.They have also read case studies from across the globe, as wellas sharing in dialogue with local partners living at conservationsites, colleagues from universities, associations, and institutions,as well as with working groups. The authors worked     

Microstructural analysis in interorganizational systems

This paper argues that network analyses of interorganizational relations should begin by examining the way in which relations are organized at the local level. It posits that systematic departures from random models for dyad and triad censuses should be found before interpreting structural patterns isolated by analytic techniques concerned with overall network structure. Three principles of organizational bonding (resource inequality, reciprocity, and redundancy) are identified, and the implications of these for dyadic and triadic microstructures are detailed. Particular attention is given to differentiating between microstructural patterns to be anticipated when a system consists of autonomous actors approximately equal in power and resources and those expected when a system is highly centralized.     

Leading the debate for the business case for gender equality,perilous for whom?

This research examines how the framing of the business case for gender equality (BCGE) in the European Union (EU) translates in the Irish national context and how different actors have engaged with this framing exercise. A central concern is how gender knowledge is mobilized by different actors as they compete to shape discourse, policy and practice on gender equality. We draw upon theoretical work that has interrogated the relationship between neoliberalism, gender inequality and feminist mobilization before reviewing critical assessments of the BCGE. The primary focus of this paper, having mapped this theoretical debate, is to analyse the role different Irish actors and organizations play in reproducing key frames and to examine the ambiguous or ambivalent engagement of different interest groups with this agenda. In turn, we assess the degree to which the agenda enables or disables structural change in access to power. We explore three case studies through which the BCGE in the EU was reinforced, adapted, resisted and rejected in our discussions, and draw out the constraints, opportunities and outcomes in each. Our first case study, which sets the national context for the following case studies, reviews how the Irish state interacts with the EU to frame gender equality and how it partners with key actors (state feminism and femocrats, private actors and feminist actors) to advance the BCGE. The second case study examines the role of the leading Irish feminist civil society organization (CSO) in the Women on Boards campaign that reinforces the dominant instrumental discourse associated with EU and national framing of gender parity on boards, and the ambiguity of feminists about this campaign. The third case study examines how Irish financial elites symbolically engage with gender parity on boards while simultaneously seeking to veto the implementation of gender representation targets proposed in the EU Capital Directive. It is clear that a degree of instrumentality informs most actors’ framing of BCGE. We also find evidence of how power actors and financial elites, while rhetorically engaging in BCGE and employing it when relevant to develop reputational capital, will seek ultimately to protect the status quo rejecting the governance benefits implied in BCGE. Ultimately, our cases illustrate the potential of the BCGE to support the inclusion of women in governance structures yet demonstrate that engaging with BCGE is perilous for some.     

Migrant organisations,belonging and social protection. The role of migrant organisations in migrants' social risk-averting strategies

This article contributes to the debates on migrant social protection assemblages by assessing enabling factors that provide migrants with opportunities to organise their social protection in changing environments. In-depth interviews with migrants who use services from several migrant organisations (MOs) were conducted to study their largely neglected roles in social protection practices. Our findings indicate that MOs are important actors in the field of social protection, as they offer a variety of social services specifically tailored to migrants' needs, while concomitantly supporting them in developing a sense of belonging. Specifically, we identify three functions with which they enable their members to access and accumulate a range of resources relevant to protecting themselves against basic social risks: their networking, consulting, and familiarising functions. In doing so, we also draw attention to the connections between social protection strategies and evolving belongingness. Our findings confirm that MOs are multifunctional and highly responsive to individual needs and are therefore important actors in the field of social protection.     

Analysing networks of networks

We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from one cultural domain to another facilitated by the social ties. Another example is when the individual semantic structures are represented as semantic networks of a group of actors and connected through these actors’ social ties to constitute knowledge of a social group. How to jointly represent the two types of networks is not trivial as the layers and not the nodes of the layers of the reported networks are coupled through a network on the reports. We propose to transform the different multiple networks using line graphs, where actors are affiliated with ties represented as nodes, and represent the totality of the different types of ties as a multilevel network. This affords studying the associations between the social network and the reports as well as the alignment of the reports to a criterion graph. We illustrate how the procedure can be applied to studying the social construction of knowledge in local flood management groups. Here we use multilevel exponential random graph models but the representation also lends itself to stochastic actor-oriented models, multilevel blockmodels, and any model capable of handling multilevel networks.     

Closure,connectivity and degree distributions: Exponential random graph (p*) models for directed social networks

The new higher order specifications for exponential random graph models introduced by Snijders et al. [Snijders, T.A.B., Pattison, P.E., Robins G.L., Handcock, M., 2006. New specifications for exponential random graph models. Sociological Methodology 36, 99–153] exhibit substantial improvements in model fit compared with the commonly used Markov random graph models. Snijders et al., however, concentrated on non-directed graphs, with only limited extensions to directed graphs. In particular, they presented a transitive closure parameter based on path shortening. In this paper, we explain the theoretical and empirical advantages in generalizing to additional closure effects. We propose three new triadic-based parameters to represent different versions of triadic closure: cyclic effects; transitivity based on shared choices of partners; and transitivity based on shared popularity. We interpret the last two effects as forms of structural homophily, where ties emerge because nodes share a form of localized structural equivalence. We show that, for some datasets, the path shortening parameter is insufficient for practical modeling, whereas the structural homophily parameters can produce useful models with distinctive interpretations. We also introduce corresponding lower order effects for multiple two-path connectivity. We show by example that the in- and out-degree distributions may be better modeled when star-based parameters are supplemented with parameters for the number of isolated nodes, sources (nodes with zero in-degrees) and sinks (nodes with zero out-degrees). Inclusion of a Markov mixed star parameter may also help model the correlation between in- and out-degrees. We select some 50 graph features to be investigated in goodness of fit diagnostics, covering a variety of important network properties including density, reciprocity, geodesic distributions, degree distributions, and various forms of closure. As empirical illustrations, we develop models for two sets of organizational network data: a trust network within a training group, and a work difficulty network within a government instrumentality.     

Judgment of distributional inequality in networks

Why is income inequality perceived and judged differently across a society? Following the social comparison theory, one reasonable explanation suggests that individuals are exposed to different local reference groups in social networks. We design a vignette experiment to study how income distributions are judged by individuals structured in networks. The experiment shows that perceptions of distributional inequality are high when network ties are unequally distributed across individuals, suggesting that network inequality contributes to distributional inequality. Beyond the network effect, inequality judgment is found to be driven by a mix of self-interest and other-regarding preference: people are in favor of group-beneficial income distributions wherein they rank high, but not extremely high, in the group. It shows that people care about not only their relative affluence, but also where others stand in the distribution.     

Social context and network formation: An experimental study

Recently, there has been increasing interest in determining which social network structures emerge as a consequence of the conscious actions of actors. Motivated by the belief that “networks matter” in reaching personal objectives, it is a natural assumption that actors try to optimize their network position. Starting from the notion that an optimal network position depends on the social context, we examine how actors change their networks to reach better positions in various contexts. Distinguishing between three social contexts (a neutral context, a context in which closed triads are costly, and a context in which closed triads are beneficial), theoretical results predict that emerging networks are contingent on the incentives that are present in these contexts. Experiments are used to test whether networks that are theoretically predicted to be stable are also stable experimentally. We find that emerging networks correspond to a large extent with the predicted networks. Consequently, they are contingent on the incentives present in various social contexts. In addition, we find that subjects tend to form specific stable networks with a higher probability than predicted, namely, efficient networks and networks in which everyone is equally well off.     

Centrality and power revisited: actor success in group decision making

For many years, network analysts viewed positional centrality as a source of social power. More recently, laboratory studies of exchange networks have called the centrality–power link into question: under zero-sum exchange conditions, the ability of certain actors to directly exploit others has been found to account for power independent of actors' centrality. But most observers believe that in non-zero-sum communication networks, centrality should positively affect power. In this study we examine the effect of centrality on power in a communication network involving group voting on political issues. Using a model in which actors' votes are determined by the strength of their initial positions and the social pressures to which they are subjected, we conduct computer simulations to examine the extent to which actors in various network positions achieve favorable political outcomes. Our findings indicate that the link between centrality and power is highly contingent on the structure of the network. In networks with a central actor and an odd number of subgroups, central actors fail to dominate. In fact, in these networks, when peripheral actors are able to directly influence one another, the central actor becomes the least powerful in the network. In networks with a central actor and an even number of subgroups, however, the central actor dominates even in situations with connected peripherals. The highly contingent effect of centrality on power accords with the findings of exchange theorists who have studied power under zero-sum conditions. This raises questions about the nature of the distinction between communication and exchange networks.     

A puzzle concerning triads in social networks: Graph constraints and the triad census

Evidence from many sources shows that triadic tendencies are important structural features of social networks (e.g. transitivity or triadic closure) and triadic configurations are the basis for both theoretical claims and substantive outcomes (e.g. strength of weak ties, tie stability, or trust). A contrasting line of research demonstrates that triads in empirical social networks are well predicted by lower order graph features (density and dyads), accounting for around 90% of the variability in triad distributions when comparing different social networks (Faust, 2006, 2007, 2008). These two sets of results present a puzzle: how can substantial triadic tendencies occur when triads in empirical social networks are largely explained by lower order graph features? This paper provides insight into the puzzle by considering constraints that lower order graph features place on the triad census. Taking a comparative perspective, it shows that triad censuses from 159 social networks of diverse species and social relations are largely explained by their lower order graph features (the dyad census) through formal constraints that force triads to occur in narrow range of configurations. Nevertheless, within these constraints, a majority of networks exhibit significant triadic patterning by departing from expectation.     

Dynamic network analysis of contact diaries

Analyzing two-mode networks linking actors to events they attend may help to uncover the structure and evolution of social networks. This classic social network insight is particularly valuable in the analysis of data extracted from contact diaries where contact events produce — and at the same time are the product of relations among participants. Contact events may comprise any number of actors meeting at a specific point in time. In this paper we recall the correspondence between two-mode actor–event networks and hypergraphs, and propose relational hyperevent models (RHEM) as a general modeling framework for networks of time-stamped multi-actor events in which the diarist (“ego”) simultaneously meets several of her alters. RHEM can estimate event intensities associated with each possible subset of actors that may jointly participate in events, and test network effects that may be of theoretical or empirical interest. Examples of such effects include preferential attachment, prior shared activity (familiarity), closure, and covariate effects explaining the propensity of actors to co-attend events. Statistical tests of these effects can uncover processes that govern the formation and evolution of informal groups among the diarist’s alters. We illustrate the empirical value of RHEM using data comprising almost 2000 meeting events of former British Prime Minister Margaret Thatcher with her cabinet ministers, transcribed from contact diaries covering her first term in office (1979–1983).