Social contexts and personal relationships: The effect of meeting opportunities on similarity for relationships of different strength

This paper examines the effect of social contexts on similarity in personal relationships. We argue that the effect of social contexts is larger for weaker, and smaller for stronger relationships. Using data from The Survey of the Social Networks of the Dutch (collected in 1999/2000, n = 1007), we first describe where people got to know their acquaintances, friends and partner and that similarity in these relationships with regard to age, level of education, sex, and religion, generally varies. We then inquire whether getting to know each other in a certain context affects similarity, and whether this effect is different for relationships of different strength. Our main conclusion, however, is that the effect of social contexts on similarity is remarkably consistent across partnerships, friendships, and acquaintanceships.     

Avoidance in negative ties: Inhibiting closure,reciprocity, and homophily

Theorising of negative ties has focused on simplex negative tie networks or multiplex signed tie networks. We examine the fundamental differences between positive and negative tie networks measured on the same set of actors. We test six mechanisms of tie formation on face-to-face positive (affect/esteem) and negative (dislike/disesteem) networks of 282 university students. While popularity, activity, and entrainment are present in both networks, closure, reciprocity, and homophily are largely absent from negative tie networks. We argue this arises because avoidance is inherent to negative sentiments. Avoidance reduces information transfer through negative ties and short-circuits cumulative causation.     

Time as a limited resource: Communication strategy in mobile phone networks

We used a large database of 9 billion calls from 20 million mobile users to examine the relationships between aggregated time spent on the phone, personal network size, tie strength and the way in which users distributed their limited time across their network (disparity). Compared to those with smaller networks, those with large networks did not devote proportionally more time to communication and had on average weaker ties (as measured by time spent communicating). Further, there were not substantially different levels of disparity between individuals, in that mobile users tend to distribute their time very unevenly across their network, with a large proportion of calls going to a small number of individuals. Together, these results suggest that there are time constraints which limit tie strength in large personal networks, and that even high levels of mobile communication do not fundamentally alter the disparity of time allocation across networks.     

Emergent stakeholders: Using multi-stakeholder issue networks to gain legitimacy in corporate networks

Multi-stakeholder issue networks (MSINs) are models of cross-sector cooperation dedicated to resolving a specific issue. Research to date has not demonstrated the reasons for collaboration (Sun et al., 2021). This paper merges public relations and organizational communication scholarship to theorize that MSINs are one way that marginalized groups achieve salience in corporate networks. Stakeholder salience theory (SST) states that corporations balance stakeholder claims using a manager-defined calculus of legitimacy, urgency, and power. Because these attributes are defined by managers in relation to corporate interests, corporations deny legitimacy to historically, socially, and geographically marginalized groups. MSINs that emerge to highlight the needs of these marginalized groups decenter corporations by constraining corporations’ ability to ignore the needs of groups previously dismissed as nonstakeholders. As MSINs become more active within the corporate ecology, they further limit corporate activity and encourage management to not only to see the legitimacy, urgency, and power of emergent stakeholder claims, but to act upon them. Examples in case-based studies illustrate the emergent stakeholder concept.     

Longitudinal analysis of personal networks. The case of Argentinean migrants in Spain

This paper discusses and illustrates various approaches for the longitudinal analysis of personal networks (multilevel analysis, regression analysis, and SIENA). We combined the different types of analyses in a study of the changing personal networks of immigrants. Data were obtained from 25 Argentineans in Spain, who were interviewed twice in a 2-year interval. Qualitative interviews were used to estimate the amount of measurement error and to isolate important predictors. Quantitative analyses showed that the persistence of ties was explained by tie strength, network density, and alters’ country of origin and residence. Furthermore, transitivity appeared to be an important tendency, both for acquiring new contacts and for the relationships among alters. At the network level, immigrants’ networks were remarkably stable in composition and structure despite the high turnover. Clustered graphs have been used to illustrate the results. The results are discussed in light of adaptation to the host society.     

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.     

Functional specificity in discussion networks: The influence of general and problem-specific networks on health outcomes

Though commonly used in social science research to measure the influence of social networks, the link between discussing “important matters” within networks and the achievement of instrumental ends is frequently unspecified or untested. To address this gap, we explore the consequences of using the general “important matters” approach versus one in which the substance of discussions is directly linked to the outcomes of interest. The egocentric social networks of people experiencing an acute health crisis are examined. We identify the characteristics of and the degree of membership overlap between “important matters” and “health matters” discussants, and explore their relative power in explaining a wide range of health and health services-related outcomes. We find no evidence for the influence of “important matters” networks, while characteristics of “health matters” networks demonstrate a significant effect across all models.     

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.     

Weak ties and the core discussion network: Why people regularly discuss important matters with unimportant alters

Researchers have paid increasing attention to the core discussion network, the set of friends and family people turn to when discussing important matters. For nearly thirty years, social network researchers have argued that the network is composed of ego's closest or most important alters. This assumption, however, has not been tested empirically. Using original data on an online representative quota survey of 2000 respondents, I find that 45% of the core discussion network is composed of people whom respondents do not consider important to them. In fact, the core discussion network includes doctors, co-workers, spiritual leaders, and other alters whom ego confides in without feeling emotionally attached to. I examine what respondents consider important matters and why they approach weak ties to discuss these. Placing emphasis on the process through which ego mobilizes alters, I develop two theoretical perspectives, which focus on how people identify those appropriate to a topic and how they respond to opportunities in interactional contexts. Findings suggest that ego discusses important matters with non-close alters at times because they are known to be knowledgeable (targeted mobilization) and at times because they are available when important issues arise (opportune mobilization). Results suggest that recent findings about changes in the core discussion network of Americans are consistent with several different possibilities about the nature of strong ties, including those in which there has been no change at all.     

Triadic configurations in limited choice sociometric networks: Empirical and theoretical results

Previous research demonstrated that information contained in triad censuses from heterogeneous collections of social networks occupies a high dimensional space. Regions of this space, and locations of triad censuses within it, are largely defined by lower order network properties: network density and dyad distributions [Faust, K., 2006. Comparing social networks: size, density, and local structure. Metodološki Zvezki (Advances in Methodology and Statistics) 3 (2), 185–216; Faust, K., 2007. Very local structure in social networks. Sociological Methodology 37, 209–256]. The current paper extends comparative work on triad censuses by addressing three related issues. First, it determines and interprets the space occupied by triad censuses for 128 friendship networks gathered using a limited choice sociometric protocol. Second, it constructs a theoretical space for triad censuses expected given lower order graph properties and examines the dimensionality and shape of this space. Third, it brings together these lines of investigation to determine where the empirical triad censuses reside within the theoretical space. Results show that the empirical triad censuses are almost perfectly represented in one dimension (explaining 99% of the data) and that network density explains over 96% of the variance in locations on this dimension. In contrast, the theoretical space for triad censuses is at least four-dimensional, with distinctive regions defined by network density and dyad distributions. Within this theoretical space, the empirical triad censuses occupy a restricted region that closely tracks triad censuses expected given network density. Results differ markedly from prior findings that the space occupied by triad censuses from heterogeneous social networks is of high dimensionality. Results also reinforce observations about constraints that network size and density place on graph level indices.     

Shared responsibility and network collaboration in caregiving

Communal coping may benefit caregivers, but most communal coping research focuses on dyads. Using an egocentric network design, we examine caregivers’ we-talk—a linguistic marker of shared responsibility—and caregiver reports of 1) network member involvement in collaborative care roles and 2) met/unmet expectations across typically developing and rare disease contexts. We-talk was linked to involvement in direct care and support, but links of we-talk to decision-making varied based on network member closeness; we-talk was linked to meeting expectations for decision-making only. There were no differences across context, suggesting shared responsibility is linked to collaborative roles across caregiving contexts.     

Changes in core network size in Japan: Comparisons between the 1990s and 2010s

Few studies have examined changes in network size during the past 20 years in Japan despite changes in many other aspects of Japanese society that could affect Japanese social relationships. I conducted a time-series cross-sectional survey to investigate changes in network size for married Japanese people from 1993 to 2014. Results follow: 1) core network sizes decreased slightly; 2) the number of married males with no core network outside their households increased slightly; 3) kin and neighbour network sizes decreased and friend network size increased among married females; 4) kin network size decreased among married males; and 5) the probability of younger married males having no network friends increased. Overall, changes in network sizes were small, and we cannot conclude that serious social decay occurs among married Japanese people.     

The missing link: Social network analysis in migration and transnationalism

The focus on social networks in migration studies marked a significant departure of understanding. Social networks are not only a mechanism through which the migration process is patterned, but they also have broader implications for migrants and non-migrants alike. Despite the fact that the network character of migration processes has long been recognized in migration studies, for a long time, Social Network Analysis has not been applied. Taking this scholarly omission as a starting point, we seek in this special issue to discuss recent research into social networks and migration that use SNA approaches.     

Exploring variation in active network size: Constraints and ego characteristics

Studies of active personal networks have primarily focused on providing reliable estimates of the size of the network. In this study, we examine how compositional properties of the network and ego characteristics are related to variation in network size. There was a negative relationship between mean emotional closeness and network size, for both related and unrelated networks. Further, there was a distinct upper bound on total network size. These results suggest that there are constraints both on the absolute number of individuals that ego can maintain in the network, and also on the emotional intensity of the relationships that ego can maintain with those individuals.     

Confidentiality,power relations and evaluation of potential harm in the study of the personal and organizational networks of travel agents in Moscow

Network research in organizational contexts faces ethical challenges related to revealing the identity of participants, managing power relations, and managing the interests and potential harms of the different stakeholders. In this article, we review the ethical issues associated with the investigation of the personal and organizational networks of travel agents in Moscow. In our case study, we interviewed 32 tourism agents from Moscow and its region, obtaining information on 45 people with whom they have regular relation as part of their work; and relational data, with a 2-mode matrix, on 15 organizations with which the agency could be linked in the Russian-Andalusian tourism market. Our results highlight the utility of presenting the information of personal networks in an aggregate manner. It also demonstrates the value of cultural adaptation strategies and adjustment to the characteristics of the community. Moreover, the central role of power relations in organizations, within a cultural context with a greater distance to authority was also found.     

Triadic closure in two-mode networks: Redefining the global and local clustering coefficients

As the vast majority of network measures are defined for one-mode networks, two-mode networks often have to be projected onto one-mode networks to be analyzed. A number of issues arise in this transformation process, especially when analyzing ties among nodes’ contacts. For example, the values attained by the global and local clustering coefficients on projected random two-mode networks deviate from the expected values in corresponding classical one-mode networks. Moreover, both the local clustering coefficient and constraint (structural holes) are inversely associated to nodes’ two-mode degree. To overcome these issues, this paper proposes redefinitions of the clustering coefficients for two-mode networks.     

Family comes first: Men's and women's personal networks in Tehran

This paper examines the characteristics of middle class Tehranis’ networks, based upon a survey of 318 individuals from the 159 households. The results show that women and men have similar-size networks. However, their networks differ substantially in gender composition, with each having almost two-thirds of network members of their own gender. Men's and women's networks contain a large proportion of kin overall. Most ties tend to be with immediate kin: children, parents and siblings. An immediate kin is usually the socially closest member of a network. Apart from voluntary factors, the importance of kinship ties in men's and women's networks may be the result of the macro-structural conditions under which patterns of social relationships take place.     

Together all the way? Abeyance and co-optation of Sunni networks in Lebanon

ABSTRACT

This article assesses how social movement continuity may vary in non-democratic and repressive contexts. Using a single case study of Islamist networks in the northern Lebanese city of Tripoli over three decades, I ask: Under what conditions is social movement continuity possible, and in what form? Former studies have three levels of abeyance - activist network and personnel; movement goals and repertoires; and collective identities and symbols - are instructive. Network survival and abeyance structures can facilitate rapid mass protests in case of a facilitating external conjuncture. This analysis relies on data collected during fieldwork conducted over a decade in Tripoli, triangulated with secondary literature and primary sources in Arabic. I find that four individual-level continuity pathways are available in authoritarian contexts: continuation of activism; disengagement; co-optation; and arena shifts. These pathways should not be seen as final and stable outcomes but as fluctuating and contingent processes, or pathways. Due to the ambiguity of informal networks, co-opted movements may easily turn against the authorities once again. Moreover, local legacies of protests may be used as resources by new protest leaders.     

Social learning about levels of perinatal and infant mortality in Niakhar,Senegal

How individuals develop perceptions concerning the risk of infant and child mortality has important consequences for fertility and demographic transition theory and for understanding broader processes of social learning. The role of learning through social interaction in shaping demographic phenomena has been the subject of intense research in the last decade. Much previous research however has been hampered by inadequate measures of individuals’ personal networks, the proximal context in which learning takes place. Using pilot data employing an innovative social network design in conjunction with demographic surveillance data from Niakhar, Senegal, this research models perception of change in the level of infant mortality over time as a function of the experience of social network associates with perinatal and infant mortality. Results suggest relatively strong effects of network members’ mortality experience controlling for own experiences of child mortality as well as neighborhood and community levels of infant mortality among other controls.