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.     

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.     

Beyond Cans and Capacity

Many essential public services are provided through networks of community‐based nonprofit organizations. Previous research has demonstrated that simply providing additional resources to these organizations is insufficient to better address demands for public services. We also know little about how and why these organizations adopt network‐level objectives related to service provision. In this analysis, we expand the focus of service provision beyond capacity to incorporate the unique roles that define the very existence of nonprofit organizations, and how these roles affect organizational behavior with respect to service network objectives. We use focus group, survey, and administrative data from one hundred community‐based nonprofit organizations in an emergency food service network to explore the relationships among capacity, roles, and specific program objectives.     

What makes a network go round? Exploring the structure of a strong component with exponential random graph models

A strong component is a subgraph in a directed network where, following the direction of ties, all nodes in the graph are reachable from one another. Mutual reachability implies that every node in the graph is theoretically able to send materials to and/or influence every other node suggesting that strong components are amongst the more egalitarian network structures. Despite this intriguing feature, they remain understudied. Using exponential random graph models (ERGM) for directed networks, we investigate the social and structural processes underlying the generation of strong components. We illustrate our argument using a network of 301 nodes and 703 personal lending ties from Renaissance Florence. ERGM shows that our strong component arises from triadic clustering alongside an absence of higher-order star structures. We contend that these processes produce a strong component with a hierarchical, rather than an egalitarian structure: while some nodes are deeply embedded in a dense network of exchange, the involvement of others is more tenuous. More generally, we argue that such tiered core-periphery strong components will predominate in networks where the social context creates conditions for an absence of preferential attachment alongside the presence of localized closure. Although disparate social processes can give rise to hierarchical strong components linked to these two structural mechanisms, in Florence they are associated with the presence of multiple dimensions of social status and the connectedness of participants across disparate network domains.     

Latino Faces,Corporate Ties: Latino Advocacy Organizations and Their Board Membership

Although they have increased exponentially since the 1960s, social scientists know little about ethnic advocacy organizations. These nonprofits are important bridges between underresourced communities and mainstream funding organizations and their directors are established ethnic leaders. Sociologists study interlocking directorates—or shared board membership—to understand how organizations fit together within broader social networks. Network concepts, particularly the theory of institutional isomorphism, suggest that organizations are likely to be similar to the extent they are connected and operate within a common organizational field. We apply this logic to Latino advocacy organizations to examine the underlying source of cohesion across this ethnic field. We ask whether the organizations are tied by interlocking directorates of ethnic elites who sit on their boards of directors or if board members' common affiliation with other elite institutions creates the structural conditions that facilitate potential ideological or behavioral similarity. A social network analysis of five prominent Latino advocacy organizations reveals support for both hypotheses: Latino board members are both embedded in ethnic‐based networks and entrenched within elite organizational webs. This suggests that ethnic elites who sit on the boards of Latino advocacy organizations are also corporate elites, selected for the social capital they bring to these nonprofits.     

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.     

Who benefits from network intervention programs? TERGM analysis across ten Philippine low-income communities

Building social capital and strengthening social networks among members of low-income communities has been recommended as a potential pathway out of poverty. However, it is not clear how network-strengthening interventions and community-based programs interact with pre-existing networks and power structures. We examine the impact of one such intervention in ten low income communities in the Philippines. The intervention is a standardized program of a faith-based organization implemented in thousands of communities in multiple countries. It brings together low-income individuals in each community for 16 weekly sessions about health, income generation, and Christian values. An important but yet unmeasured goal of the intervention is the strengthening of social networks among the participants. We measured the social networks before and after the intervention and analysed their changes both separately and jointly for all ten communities with temporal exponential random graph models (TERGM). We modelled the post-intervention network structures conditioning on the pre-intervention networks, pre-intervention node attributes, and attribute changes through the intervention. We found social engagement (measured by social visits to others) to moderate most consistently the effects of the intervention across the ten communities. Those who were more socially engaged consistently strengthened their networks through the intervention. By contrast, some network mechanisms strongly diverged between the communities. In particular, religiosity was positively associated with gaining social links through this faith-based intervention in some communities and negatively in others. Similar communities may in some aspects react to the same intervention in opposite ways—a phenomenon that should be further explored through studies of larger numbers of comparable networks.     

Network domains in social networking sites: expectations,meanings, and social capital

This paper examines why the use of social networking sites (SNSs) leads to different results in cultivating bridging and bonding social capital for different groups of people. Based on in-depth interviews of 45 university students in Hong Kong, I find that Mainland Chinese students studying in Hong Kong actively use SNSs for seeking practical information about offline matters, and they obtain substantial enacted support from other Mainland students of the same university through SNS use. As a result, they accumulate both bridging and bonding social capital. Local Hong Kong students, however, use SNSs mainly for social information seeking and are only able to accrue limited bridging social capital through SNS use. Drawing on the theory of network domains, I argue that the different offline network structures in which students are located – namely, homogeneous and closed networks versus heterogeneous and open networks – explain this difference. Students with closed offline networks have defined expectations of online ties; they think of their online activities as practical and leading to real changes in their status among peers. Those with open networks have indefinite expectations of their online audience; thus, they interpret online activities differently, thinking of them as recreational, and they are playful in their online behaviour. These different outcomes of online activities consequently lead to diverse results in social capital accrual.     

Staying connected under fire: Effects of individual roles and organizational specialization on the robustness of emergency-phase communication networks

Communication network connectivity is central to organizational performance, but maintaining connectivity can be difficult during periods of disruption. During the World Trade Center (WTC) disaster of September 11th, 2001, both emergency response-specialized organizations and organizations without such specialization forcibly adapted to a radically altered environment. Their dynamic communication networks necessarily entailed trade-offs between competing demands for efficiency and robustness to disruption. Of particular importance is whether organizations concentrated activity within a small number of “hub” nodes, and whether those with existing coordinative roles were critical to maintaining connectivity. We examine these questions by analyzing seventeen organizational communication networks in the WTC disaster. We find that organizations maintain connectivity through relatively small numbers of coordinators, but the realization of institutionalized coordinative roles depends upon organizational context. Further, we find distinct patterns of robustness, with the removal of key players leading to mass isolation in specialist networks versus a gradual pattern of failure in non-specialist networks. These results suggest that organizations responding to disruptions within their usual domain of operations will be more likely to retain institutionalized roles when building emergent networks, although this increases the network's fragility in the event of the loss of one of those coordinators. Organizations responding to novel threats may reconfigure more radically, limiting vulnerability to the loss of institutionalized—but not emergent—coordinators.     

How interrank contacts benefit masters in a Buddhist monastery: Comparing the effects of ascribed Dharma titles and perceived status

Social interactions within modern Buddhist communities reflect two hierarchical rules. First, the Dharma titles ordained to specific masters affect how they interact with one another. Second, as more Buddhist organizations adapt to secular society, their members also network along nonreligious hierarchies. To capture how such changing social hierarchies shape masters’ social networks, this study examines the “status effects” embedded in social interactions within Foothills, a Buddhist monastery in Taiwan, based on contact diaries recorded over twenty-eight months. Multilevel analyses that focus on 102,254 contacts nested in 582 interpersonal ties among 53 Buddhist masters indicate that nearly all pairings of the ascribed Dharma titles had significant effects on emotional gain, and perceived status was not significant. In addition, contact with the highest ascribed title was clearly more important for instrumental gain, whereas the pattern of the perceived status effect was ambiguous. While the modern monastery has incorporated task-oriented work from secular society, the ordained titles continue to generate more profound effects than perceived status.     

Change in Covert Social Movement Networks: The ‘Inner Circle’ of the Provisional Irish Republican Army

In this paper, we contribute to both the growing body of literature on social movement networks and the growing body of literature on change in networks by exploring patterns and mechanisms of change within the network of the ‘inner circle’ of the Provisional Irish Republican Army. Specifically, we focus upon the period between 1969 (when it formed) and 1988 (the last point for which we have been able to gather good data). Our primary aims are substantive. We want to know how this network changed over time. In addition, however, our analysis identifies changes which other analysts might look for in their networks and offers methodological suggestions for those who, like us, find that their networks do not meet the assumptions of mainstream approaches to modelling network dynamics. There is a further dimension to the paper, however. We are studying a covert social movement network. This is a special type of movement network whose organisation and dynamics are predicted to vary from other movement networks. Some have suggested that they are inclined to be relatively static because the need for trust within them is so great and the risk to whatever they hold secret so considerable when new ties are formed that their members tend only to recruit within the pool of their pre-existing ties and actively seek to minimise recruitment and the formation of new ties. One of the aims of our paper was to determine whether and to what extent this is so.     

Social Networks and Sustained Activism in Local NIMBY Campaigns

This paper compares six NIMBY (not-in-my-backyard) movement organizations to explain why some of these social movement organizations expanded their goals while others did not. Analysis of interview and survey (N = 113) data reveals that friendship networks within the movement foster goal expansion (in part because people want to preserve the context for these friendships). External local political networks promoting their own rhetorical and resource agendas will inhibit goal expansion if they establish trusted links to the NIMBY organizations.     

Chronic illness and social network bridging in later life

Chronic disease has profound impacts on the structural features of individuals’ interpersonal connections such as bridging — ties to people who are otherwise poorly connected to each other. Prior research has documented competing arguments regarding the benefits of network bridging, but less is known about how chronic illness influences bridging and its underlying mechanisms. Using data on 1555 older adults from the National Social Life, Health, and Aging Project (NSHAP), I find that older adults diagnosed with chronic illness tend to have lower bridging potential in their networks, particularly between kin and non-kin members. They also report more frequent interactions with close ties but fewer neighbors, friends, and colleagues in their networks, which mediates the association between chronic illness and social network bridging. These findings illuminate both direct and indirect pathways through which chronic illness affects network bridging and highlight the context-specific implications for social networks in later life.     

Social Accountability in Diaspora Organizations Aiding Syrian Migrants

This article presents data from a study of Syrian diaspora organizations providing assistance to conflict‐affected Syrians in Europe, the Middle East, and North America. Using interview data from leaders in four Syrian diaspora non‐profit organizations, this article examines the social mechanisms used to ensure accountability within the challenging environments where the organizations operate. We find that Syrian diaspora organizations benefit from informal social accountability mechanisms that derive from individuals’ social network ties. Personal, social forms of accountability are particularly valuable to these organizations because these mechanisms help circumvent uncertainty and challenges in the operational environment. These findings reflect an important theme in the extant literature on diaspora philanthropy: diaspora members may have an advantage over other actors because of dense personal networks that make them adept at identifying dependable partners and enforcing agreements even in places where banking and legal systems are fragile.     

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.     

Subject to Evaluation: How Parents Assess and Mobilize Information from Social Networks in School Choice

A rich literature examines how information spreads through social networks to influence life opportunities. However, receiving information does not guarantee its use in decision making. This article analyzes information evaluation as a fundamental component of social network mobilization. The case of school choice, where the value of information may be more uncertain, brings this evaluative dimension to the forefront. Interviews with 55 parents in Boston show how parents selecting schools assess their social network ties as information sources, privileging information from those they perceive to have affinity and authority. These evaluative criteria map onto disparate networks to engender unequal mobilization of this information. The findings illuminate mechanisms sustaining inequality in social network mobilization and reorient scholars to consider processes underlying information use alongside information diffusion to attain a more complete understanding of how network resources are mobilized in action.     

The embeddedness of organizational performance: Multiple Membership Multiple Classification Models for the analysis of multilevel networks

We present a Multiple Membership Multiple Classification (MMMC) model for analysing variation in the performance of organizational sub-units embedded in a multilevel network. The model postulates that the performance of organizational sub-units varies across network levels defined in terms of: (i) direct relations between organizational sub-units; (ii) relations between organizations containing the sub-units, and (iii) cross-level relations between sub-units and organizations. We demonstrate the empirical merits of the model in an analysis of inter-hospital patient mobility within a regional community of health care organizations. In the empirical case study we develop, organizational sub-units are departments of emergency medicine (EDs) located within hospitals (organizations). Networks within and across levels are delineated in terms of patient transfer relations between EDs (lower-level, emergency transfers), hospitals (higher-level, elective transfers), and between EDs and hospitals (cross-level, non-emergency transfers). Our main analytical objective is to examine the association of these interdependent and partially nested levels of action with variation in waiting time among EDs – one of the most commonly adopted and accepted measures of ED performance. We find evidence that variation in ED waiting time is associated with various components of the multilevel network in which the EDs are embedded. Before allowing for various characteristics of EDs and the hospitals in which they are located, we find, for the null models, that most of the network variation is at the hospital level. After adding these characteristics to the model, we find that hospital capacity and ED uncertainty are significantly associated with ED waiting time. We also find that the overall variation in ED waiting time is reduced to less than a half of its estimated value from the null models, and that a greater share of the residual network variation for these models is at the ED level and cross level, rather than the hospital level. This suggests that the covariates explain some of the network variation, and shift the relative share of residual variation away from hospital networks. We discuss further extensions to the model for more general analyses of multilevel network dependencies in variables of interest for the lower level nodes of these social structures.     

From Resistance to Activis m: The Emergence and Persistence of Activism among American Vietnam War Resisters in Canada

The concept of ‘emergent ties’ is often used to refer to the role of social networks in activating social movements. Yet pre-existing network ties were usually not a factor in initiating decisions of 50,000 draft-age American youth to migrate to Canada during the American Vietnam War. These youth often learned about the possibility of migrating to Canada through the news media and a widely distributed draft resistance manual. Once in Canada, they often became involved in networks that directed and sustained their movement activity. This suggests that the emergence and persistence of activism may often be distinct. This paper argues that a transformation process that leads to activism is often a life stage specific process, usually in late adolescence or early adulthood, whose explanation requires detailed attention to everyday behavioral activity; while the evolution and persistence of activism is often a life course persistent process that covers a longer period and involves the influence of more generically structured network ties. These patterns are demonstrated in a fuzzy set analysis (FSA) of early and longer term political activism in the lives of Americans who migrated to Toronto during the Vietnam War. We find that for both men and women, helping others was a necessary experience in transforming the resistance involved in this migration into collectively organized anti-war activism, and that a longer term tendency of the women who migrated to Canada to remain more involved than men in social movements is a product of their continuing contacts with the persons involved in their earlier activism. The results of our research underline the importance of distinguishing life stage specific and life course persistent processes in the study of social movements, and more generally that the study of social movements and the life course have much to contribute to one another.