Network integration within a prison-based therapeutic community

Prison-based therapeutic communities (TCs) are a widespread, effective way to help incarcerated individuals address substance abuse problems. The TC philosophy is grounded in an explicitly relational paradigm that entails building community and conditioning residents to increasingly take responsibility for leadership therein. Although TCs are based on cultivating a network that continuously integrates new residents, many common structural features can jeopardize TC goals and are hence discouraged (e.g., clustering, homophily). In light of this tension, analyzing the TC from a network perspective can offer new insights to its functioning, as well as to broader questions surrounding how networks integrate new members. In this study we examine a men’s TC unit in a Pennsylvania prison over a 10-month span. Using data on residents’ informal networks, we examine: (1) how well individuals integrate into the TC network across time, (2) what predicts how well residents integrate into the TC, and (3) how well the TC network structure adheres to theoretical ideals. Results suggest that individual integration is driven by a range of hypothesized factors and, with limited exceptions, the observed TC is able to foster a network structure and integrate residents consistent with TC principles. We discuss the implications of these results for evaluating TCs and for understanding the process of network integration.     

The co-evolution of gossip and friendship in workplace social networks

This study investigates the co-evolution of friendship and gossip in organizations. Two contradicting perspectives are tested. The social capital perspective predicts that friendship causes gossip between employees, defined as informal evaluative talking about absent colleagues. The evolutionary perspective reverses this causality claiming that gossiping facilitates friendship. The data comprises of three observations of a complete organizational network, allowing longitudinal social network analyses. Gossip and friendship are modeled as both explanatory and outcome networks with RSiena. Results support the evolutionary perspective in that gossip between two individuals increases the likelihood of their future friendship formation. However, individuals with disproportionately high gossip activity have fewer friends in the network, suggesting that the use of gossiping to attract friends has a limit.     

Information communities: The network structure of communication

This study puts forward a variable clique overlap model for identifying information communities, or potentially overlapping subgroups of network actors among whom reinforced independent links ensure efficient communication. We posit that the average intensity of communication between related individuals in information communities is greater than in other areas of the network. Empirical tests show that the variable clique overlap model is indeed more effective in identifying groups of individuals that have strong internal relationships in communication networks relative to prior cohesive subgroup models; the pathways generated by such an arrangement of connections are particularly robust against disruptions of information transmission. Our findings extend the scope of network closure effects proposed by other researchers working with communication networks using social network methods and approaches, a tradition which emphasizes ties between organizations, groups, individuals, and the external environment.     

Who are the objects of positive and negative gossip at work?: A social network perspective on workplace gossip

Gossip is informal talking about colleagues. Taking a social network perspective, we argue that group boundaries and social status in the informal workplace network determine who the objects of positive and negative gossip are. Gossip networks were collected among 36 employees in a public child care organization, and analyzed using exponential random graph modeling (ERGM). As hypothesized, both positive and negative gossip focuses on colleagues from the own gossiper's work group. Negative gossip is relatively targeted, with the objects being specific individuals, particularly those low in informal status. Positive gossip, in contrast, is spread more evenly throughout the network.     

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.     

Credit at the Corner Store: An Analysis of Resource Exchange among Detroit‐Area Urban Poor

This ethnographic study examines how and why Detroit‐area credit‐constrained members of the urban poor relied on owners/employees of corner convenience stores, known as “party stores,” for accessing short‐term, interest‐free informal credit services. Findings indicate that informal credit at party stores functioned as a low‐ or no‐cost alternative to formal credit and high‐cost fringe banking services such as payday loans, both of which were inaccessible and/or cost prohibitive for informants. These data contribute empirically to a growing body of research on “credit invisibility” by exploring these populations' use of informal credit mechanisms. Findings also make a theoretical contribution by highlighting the importance of resource exchange networks through which members of the urban poor build strong yet disposable social ties in order to respond to economic shocks, combat food insufficiency, and survive economic destitution.     

Social and semantic coevolution in knowledge networks

Socio-semantic networks involve agents creating and processing information: communities of scientists, software developers, wiki contributors and webloggers are, among others, examples of such knowledge networks. We aim at demonstrating that the dynamics of these communities can be adequately described as the coevolution of a social and a socio-semantic network. More precisely, we will first introduce a theoretical framework based on a social network and a socio-semantic network, i.e. an epistemic network featuring agents, concepts and links between agents and between agents and concepts. Adopting a relevant empirical protocol, we will then describe the joint dynamics of social and socio-semantic structures, at both macroscopic and microscopic scales, emphasizing the remarkable stability of these macroscopic properties in spite of a vivid local, agent-based network dynamics.     

Duocentered networks

When a pair of individuals is central to a research problem (e.g., husband and wife, PhD student and supervisor) the concept of “duocentered” networks can be defined as a useful extension of egocentered networks. This new structure consists of a pair of central egos and their direct links with alters, instead of just one central ego as in the egocentered networks or multiple egos as in complete networks. The key point in this kind of network is that ties exist between the central pair of egos and between them and all alters, but the ties among alters are not considered. Duocentered networks can also be considered as a compromise between egocentered and complete networks. Complete network measurements are often costly to obtain and tend to contain a large proportion of missing data (especially for peripheral actors). Egocentered network data are less costly but a lot of information is lost with their use when a pair of individuals is the relevant unit of analysis.     

INTRODUCTION TO THE SYMPOSIUM ON CONTEMPORARY BANKING RESEARCH: THE USE OF FIXED EFFECTS TO DISENTANGLE LOAN DEMAND FROM LOAN SUPPLY

With the onset of the financial crisis, disentangling the effects of loan demand and supply in contemporary banking research has become vital for a proper assessment of supply-related banking shocks. These shocks may negatively affect the real economy through many channels, such as the lending channel of monetary policy transmission, the bank risk-taking channel or the evaluation of macroprudential policy efficiency. All these rely on separating the two lending components. Empirical identification has largely relied on the use of demand-related fixed effects, which has also been applied in several analyses within this symposium. (JEL G21)     

‘Spatializing’ knowledge communities: towards a conceptualization of transnational innovation networks

In this article we seek to move beyond existing conceptualizations of innovation systems in two key respects. First, we identify the need for a shift away from research that focuses on discrete scales as the locus for understanding innovation towards that which places more emphasis on network relationships operating between and across different scales. Second, we illustrate the need for approaches that recognize the significance of innovative networks that extend beyond firms and, in particular, those associated with the movement of knowledgeable individuals. By synthesizing recent insights from three literatures on ‘communities’ of varying kinds — namely communities of practice, knowledge communities and transnational communities — we propose a conceptualization of transnational innovation networks based around three overlapping and mutually constitutive domains. In addition to the much‐studied ‘corporate‐institutional’ domain, we also identify ‘social network’ and ‘hegemonic‐discursive’ domains that may be important components of transnational innovation networks operating across different localities.     

Comparing Networks Across Space and Time, Size and Species

We describe and illustrate methodology for comparing networks from diverse settings. Our empirical base consists of 42 networks from four kinds of species (humans, nonhuman primates, nonprimate mammals, and birds) and covering distinct types of relations such as influence, grooming, and agonistic encounters. The general problem is to determine whether networks are similarly structured despite their surface differences. The methodology we propose is generally applicable to the characterization and comparison of network–level social structures across multiple settings, such as different organizations, communities, or social groups, and to the examination of sources of variability in network structure. We first fit a p^* model (Wasserman and Pattison 1996) to each network to obtain estimates for effects of six structural properties on the probability of the graph. We then calculate predicted tie probabilities for each network, using both its own parameter estimates and the estimates from every other network in the collection. Comparison is based on the similarity between sets of predicted tie probabilities. We then use correspondence analysis to represent the similarities among all 42 networks and interpret the resulting configuration using information about the species and relations involved. Results show that similarities among the networks are due more to the kind of relation than to the kind of animal.     

Social Closure and Educational Attainment

This article examines how network closure among parents affects adolescents’ educational attainment. First, we introduce a distinction between informal closure and school‐based closure. Second, we investigate whether and how the effect of informal and school‐based parental network closure varies across social contexts. Findings from the National Longitudinal Study of Adolescent Health (Add Health) and multilevel models show that parental network closure modestly impacts educational outcomes. Moreover, educational benefits of informal closure in parent networks are contingent on social context. Closure only benefits educational attainment in low‐poverty schools. In high‐poverty schools, informal closure in parent networks lowers educational attainment. The social closure generated in informal connections among parents thereby contributes to the encapsulation of disadvantage in areas of concentrated poverty, which is not the case for school‐based closure.     

Size and effectiveness of informal helping networks: a panel study of older people in the community

This paper examines the impact over time of changes in older people's health and functional capacity on the size and effectiveness of their informal helping networks. Theoretical perspectives on networks differ in their predictions regarding the impact of declines in health on network size. Previous empirical studies have not examined the effects of changes in health on the size of networks. We examine empirical evidence on the impact of health changes on informal helping networks with longitudinal data obtained from a probability sample of older people living in the community. Results suggest that networks respond to diminishing health by increasing the scope of assistance provided but neither increase nor decrease in size as a consequence. The results also suggest that declines in functioning can produce increases in needs which exceed the capacity of informal networks.     

Trans‐Local Communities in the Age of Transnationalism: Bosnians in Diaspora

Today, Bosnians represent one of the newly emerging and the most widely dispersed diasporic communities from the Balkans. There are large communities of Bosnians living in almost every European country, as well as throughout North America and Australia. Most were displaced during the 1992–1995 Bosnian war, in which 2.2 million people were forced to leave their homes, 1.6 million of whom looked for refuge abroad. In contrast with, and in response to, the enforced displacement, many members of the Bosnian diaspora have retained strong family and other “informal” social ties with both Bosnians in other countries and those still living in Bosnia and Herzegovina (BiH, or Bosnia). Such ties – focused on preservation of cultural memory and performance of distinct local identities – form the basis of the global network of the Bosnian diaspora and its link with the original home (land). In this paper, I briefly outline the links and networks that constitute diaspora, and then go on to explore the extent to which recent scholarly literature is able to “capture” the uniqueness and complexity of the Bosnian diasporic communities in Australia, the United States (U.S.) and Europe. Finally, I attempt to define the concept of “trans‐localism” and how it is (per)formed, and suggest that the predominantly “transnational” conceptual framework within the migration studies needs to be expanded to include “trans‐local” diasporic identity formation among displaced Bosnians and similar diaspora groups.     

The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic,multidimensional social network data

The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N₁ = 226, N₂ = 261, N₃ = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition.     

The use of informal networks in Italy: Efficiency or favoritism?

A large body of literature considers the advantages of using informal networks to match workers to jobs. However, family ties may interfere with a genuine process of worker selection, favoring people with connections over more talented workers. We offer a simple model of favoritism to explain these risks and show firms’ trade-off in using informal channels. We then investigate empirically the determinants and consequences of using informal networks in Italy by using the Bank of Italy Survey. We find that informal networks tend to be used by low-educated individuals, in small firms, in low-productivity jobs and in less developed regions. Finally, we show that informal networks have a negative impact on wages, controlling for individual and firm characteristics.     

The role of networks of practice and webs of influencers on farmers' engagement with and learning about agricultural innovations

Drawing on the UK research project, ‘Farmers’ understandings of GM crops within local communities’, this paper considers the application of the concepts of communities of practice and networks of practice in the agricultural context. A brief review of theories about communities of practice and networks of practice is given and some of our findings are discussed in the context of those theories.Farmers were found to be a particular type of network of practice, characterised by a weak organisational framework but with a relatively stable network of other communities of practice (or networks of practice) they interact with, which we have called a ‘web of influencers on practice’. Together, farmers’ network of practice and their web of influencers on practice represent the whole environment in which learning may occur, and so provide insights into their social learning system. Most farmers have to work at the boundary of their network of practice and their web of influencers, which creates a significant load on their knowledge management. This is in contrast to other networks of practice where only some members take on this boundary brokering role. The paper concludes that these theories (on networks and communities of practice) provide a useful lens through which to view farmers and their practice, highlighting important points for policy. However, in such contexts these theories need to be extended to include the role of a broader ‘web of influencers on practice’.     

Investment communities: Behavioral attitudes and economic dynamics

Using a real-world data set encompassing the daily portfolio holdings and exposures of complex investment funds, we derive a set of quantitative attributes to capture essential behavioral features of fund managers. We find the existence and stability of three investment attitudes, namely the conservative, the reactive, and the pro-active profiles, defining communities that respond differently when facing external shocks. The conservative community has behavioral similarities that tend to decrease due to external shocks, the reactive community members greatly increase their activity level especially during turmoil phases, while delegated investors in the pro-active community are more resilient to turbulence and counterbalance the impact of the events by adjusting their portfolio exposures in advance. We show that exogenous shocks only temporarily perturb the behavioral traits of the communities which then go back to their original states once the distress is embedded.     

Mobility types,transnational ties and personal networks in four highly skilled immigrant communities in Seville (Spain)

In this study, we explore how different mobility patterns influence the composition and structure of the transnational social support networks and how personal networks allow us to elicit insightful data of mobile individuals. Ninety-five mobile individuals were selected from four distinct communities based in Seville (Spain), namely: Erasmus students, Flamenco artists, musicians from the symphonic orchestra and partners of European Commission researchers. Data were collected through an electronic survey sent by email with multiple name generators and a structured face-to-face interview utilizing a network visualization tool, VennMaker. Two distinct methods, namely qualitative case studies and cluster analysis were used to characterize mobility types. Findings reveal a heterogeneous foreign population, in which different forms of mobility are reflected in the personal networks of mobile individuals. Respondents who were settled in the city were more likely to have networks in which social support was mainly derived by hosts and people in the host location and with whom they communicated predominantly through face-to-face communication. Those who were in the host location for a study exchange, knowing that return to the county of origin is imminent were more likely to have networks linked to the home location. They relied heavily on strong transnational ties in the home country using social media to sustain their relationship. Respondents with an itinerant mobility profile, also had networks dominated by strong transnational ties, however, such ties had a higher degree of geographical spread due to previous international mobility. Participants who had a high number of hosts in the network but low connection between the ties were more likely to be linked to a specific subculture in the host society. The integration in the host location follows a different pattern to other settled individuals, mainly because their connection in the city tends to be community specific.