Local migrant kin or floating grandmother? Reflections on mobility and informal childcare support strategies among Polish migrants in Ireland

This study investigates mobilization of social support for informal childcare among working Polish mothers in Dublin. The research incorporates 61 semi-structured interviews and maps of ego-centric networks built around the support and childcare organization. Embedded in a support network and transnational family configuration perspective, this study assesses how migrant mothers use the local and transnational connections to mobilize informal child-minding strategies. The results show a great reliance on strong ties, especially partners whose support constitutes a backbone of the family being together. Beyond that, floating grandmothers have proven to be a significant provider of childcare from a transnational perspective. The heavy reliance on the local migrant kin and friends is crucial in providing ad hoc crisis support when transnational ties cannot be mobilized. This in turn demonstrates that distance matters, and while strong ties are not available, the local weak ties are more likely to be relied on.     

Social network analysis with respondent-driven sampling data: A study of racial integration on campus

This paper presents respondent-driven sampling (RDS) as a viable method of sampling and analyzing social networks with survey data. RDS is a network based sampling and analysis method that provides a middle ground compliment to ego-centric and saturated methods of social network analysis. The method provides survey data, similar to ego-centric approaches, on individuals who are connected by behaviorally documented ties, allowing for macro-level analysis of network structure, similar to that supported by saturated approaches. Using racial interaction of university undergraduates as an empirical example, the paper examines whether and to what extent racial diversity at the institutional level is reflected as racial integration at the interpersonal level by testing hypotheses regarding the quantity and quality of cross-race friendships. The primary goal of this article, however, is to introduce RDS to the network community and to stimulate further research toward the goal of expanding the analytical capacity of RDS. Advantages, limitations, and areas for future research to network analysis using RDS are discussed.     

The structure of online social networks mirrors those in the offline world

We use data on frequencies of bi-directional posts to define edges (or relationships) in two Facebook datasets and a Twitter dataset and use these to create ego-centric social networks. We explore the internal structure of these networks to determine whether they have the same kind of layered structure as has been found in offline face-to-face networks (which have a distinctively scaled structure with successively inclusive layers at 5, 15, 50 and 150 alters). The two Facebook datasets are best described by a four-layer structure and the Twitter dataset by a five-layer structure. The absolute sizes of these layers and the mean frequencies of contact with alters within each layer match very closely the observed values from offline networks. In addition, all three datasets reveal the existence of an innermost network layer at ∼1.5 alters. Our analyses thus confirm the existence of the layered structure of ego-centric social networks with a very much larger sample (in total, >185,000 egos) than those previously used to describe them, as well as identifying the existence of an additional network layer whose existence was only hypothesised in offline social networks. In addition, our analyses indicate that online communities have very similar structural characteristics to offline face-to-face networks.     

Mobilising social network support for childcare: The case of Polish migrant mothers in Dublin

This paper describes the utilisation of support networks for the organisation of informal childcare by working Polish migrant mothers in Dublin. Grounded in a support network perspective the study employs a mixed method approach to elucidate how the mothers use local and transnational relations in their child-minding strategies, but also highlights the obstacles posed by the distant character of the latter ties. In line with previous research on support networks, we find a strong reliance on strong ties in providing instrumental and emotional support (e.g., Wellman and Wortley, 1990) but also that ‘distance’ matters (e.g., Mok et al., 2010) and shapes the network mobilisation strategies of the working mothers. Locally based weak ties, based on various forms of reciprocity, are supplemental in providing ad-hoc crisis support when transnational ties cannot be mobilized. Nonetheless, transnational ties are shown to be crucial in the childcare provision, in particular for longer spells of regular childcare.     

Do transnational brokers always win? A multilevel analysis of social support

Migrants often maintain relationships with significant others located in their countries of origin, which results in having transnational interpersonal ties in addition to local ones. The majority of previous studies indicate that financial and social remittances flow from countries of immigration to the countries of emigration through migrants and their networks. However, less is known about who is involved in those exchanges, what kind of supportive resources flow within and across nation-state borders, and what level of individual cross-border engagement of migrants is related to those flows. We ask whether and how transnationality as an individual attribute, together with other personal, dyadic, and supradyadic characteristics, explain received social support. Drawing on data from 100 ego-centric networks collected from Turkish migrants in Germany, the results indicate that not only the dyadic level but also network structure, the position occupied by individuals in the network and their level of transnationality explain supportive resource flows within and across borders.     

Network closure and integration in the mid-20th century American mafia

Criminal networks are thought to be biased toward decentralization and security rather than integration and efficiency. This article examines this tradeoff in a large-scale national criminal network spanning more than 700 members of 24 distinct American mafia families operating in the mid-20th century. Producing a novel network image of the American mafia as a set of highly differentiated yet intertwined islands of criminal activity, the analysis uncovers a small-world structure that allowed both for strong intragroup closure and high intergroup connectivity. This balance reflected a division of network labor in which integrative bridging connections were disproportionately concentrated among a small number of criminals. Furthermore, the criminals who held such bridging ties tended to be either low- or high-status—but not of middling status—within their respective organizations.     

Residential mobility and the spatial dispersion of personal networks: Effects on social support

Using a representative national sample of personal networks, this article explores how the spatial dispersion of networks, residential mobility and social support are linked. Three issues will be addressed here. Firstly, how is the spatial dispersion of personal networks related to individuals’ social characteristics, network composition and residential mobility? Secondly, how do the spatial dispersion of networks, residential mobility and their combined effect influence the number and (thirdly) the structure of emotional support ties? Results showed that the extent of the support was affected neither by the geographical distribution of the networks nor by residential mobility. Living far from one's birthplace, however, exerted two distinct, and opposite effects on the support network structure. On the one hand, mobility led to high spatial dispersion of personal contacts, which in turn favored a sparsely knit network centered around the mobile individual. On the other hand, by controlling for the effect of distance between the contacts, we found that individuals that cited long-distance ties tended to be part of more transitive support networks than those that cited local ties. We interpreted the latter effect as evidence that transitive ties may survive greater spatial distances than intransitive ones. These findings are discussed in view of spatial mobility and social network research.     

Spatial distance and mobile business social network density

Following the increasing adoption of mobile communication, scholars have shown interest in the role of place on the structure of mobile social networks. The purpose of this study is to investigate the association between spatial distance and the closure and diversity of businesses mobile social networks. We used a database that aggregates actual mobile communication patterns of business users of a large Israeli cell phone company (n?= 16,199). Our findings, among a large sample of businesses, provide support for the place and mobile communication perspective. The results reveal a negative association between spatial distance and mobile business communication networks. As spatial distance between business network members increases, business social ties through mobile communication decreases. Furthermore, the results also revealed a negative association between spatial distance and mobile network density. As the spatial distance between business users increases, the density of the mobile communication network diminishes. Physical proximity promotes the development of dense business networks. The implications of the findings are discussed.     

Social networks and Internet connectivity effects

This paper explores the impact of communication media and the Internet on connectivity between people. Results from a series of social network studies of media use are used as background for exploration of these impacts. These studies explored the use of all available media among members of an academic research group and among distance learners. Asking about media use as well as about the strength of the tie between communicating pairs revealed that those more strongly tied used more media to communicate than weak ties, and that media use within groups conformed to a unidimensional scale, showing a configuration of different tiers of media use supporting social networks of different ties strengths. These results lead to a number of implications regarding media and Internet connectivity, including: how media use can be added to characteristics of social network ties; how introducing a medium can create latent tie connectivity among group members that provides the technical means for activating weak ties, and also how a change in a medium can disrupt existing weak tie networks; how the tiers of media use also suggest that certain media support different kinds of information flow; and the importance of organization-level decisions about what media to provide and promote. The paper concludes with a discussion of implications for Internet effects.     

Predictors of Change in Self-Reported Social Networks among Homeless Young People

This research investigates changes in social network size and composition of 351 homeless adolescents over three years. Findings show that network size decreases over time. Homeless youth with a conduct disorder begin street life with small networks that remain small over time. Caregiver abuse is associated with smaller emotional networks due to fewer home ties, especially to parents, and a more rapid loss of emotional home ties over time. Homeless youth with major depression start out with small networks, but are more likely to maintain network ties. Youth with substance abuse problems are more likely to maintain instrumental home ties. Finally, homeless adolescents tend to reconnect with their parents for instrumental aid and form romantic relationship that provide emotional support.     

Clustering in weighted networks

In recent years, researchers have investigated a growing number of weighted networks where ties are differentiated according to their strength or capacity. Yet, most network measures do not take weights into consideration, and thus do not fully capture the richness of the information contained in the data. In this paper, we focus on a measure originally defined for unweighted networks: the global clustering coefficient. We propose a generalization of this coefficient that retains the information encoded in the weights of ties. We then undertake a comparative assessment by applying the standard and generalized coefficients to a number of network datasets.     

French connections: the networking strategies of French highly skilled migrants in London

Although the migration studies literature often takes social networks for granted, these social ties are not spontaneous but require effort and nurturing. There has been insufficient research on the actual process of networking, especially among highly skilled migrants. Our understanding of why and how migrants form networks with particular characteristics is still poor. In this article, we argue that it is necessary to consider both the structure and content of networks – the nature of the relationships as well as the flow of resources within various social ties. Drawing on qualitative data from a study of highly skilled French migrants in London's business and financial sector, we use a microanalysis of network‐making processes. In the context of London as a dynamic and highly competitive financial centre, we examine the importance of opportunities, skills and shared interests in building new social relationships from scratch. In addition, we also assess how mobility and proximity, virtual communication and co‐presence impact on geographically dispersed networks and why some long distance relationships endure while others fade over time. By bringing together classic literature on professional networking and wider discussions on how relationships are managed across time and space, our work contributes to a fuller understanding of why and how highly skilled migrants form networks with particular characteristics.     

Impact of methods for reducing respondent burden on personal network structural measures

We examine methods for reducing respondent burden in evaluating alter–alter ties on a set of network structural measures. The data consist of two sets, each containing 45 alters from respondent free lists: the first contains 447 personal networks, and the second 554. Respondents evaluated the communication between 990 alter pairs. The methods were (1) dropping alters from the end of the free-list, (2) randomly dropping alters, (3) randomly dropping links, and (4) predicting ties based on transitivity. For some measures network structure is captured with samples of less than 20 alters; other measures are less consistent. Researchers should be aware of the need to sample a minimum number of alters to capture structural variation.     

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.     

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.     

Keep around,drop, or revise? exploring what becomes of difficult ties in personal networks

Previous studies increasingly recognize the presence and impact of difficult individuals within personal networks. However, current research sheds little light on the turnover, retention, and change in quality of such difficult ties. The current study addresses this gap by focusing on two distinct forms of network change. We examine how role relationships, support exchange, relational homophily, and personal characteristics are associated with these processes. Data are drawn from three waves of the University of California Social Network Study (UCNets), a project containing comprehensive longitudinal data on ego networks among two adult cohorts. Findings indicate that over time, 34% of difficult ties re-appear in people’s networks as sources of aggravation; 26% of difficult ties are removed from the network; and 40% can no longer be verified as problematic network members. Most ties no longer deemed difficult are identified as providing one or more supportive functions. Multinomial multilevel models reveal that exchanging support tends to anchor difficult ties in the network. Kinship, meanwhile, plays a large role in whether difficult ties remain or get dropped. Personal characteristics such as gender, income, and relocation also play a role in these processes. Overall, we conclude that the turnover dynamics of difficult ties are similar to other ties, and the apparent change from negative to positive suggests that many ties hold ambivalent properties that make shedding such ties less common than may be expected.     

Networks in lockdown: The consequences of COVID-19 for social relationships and feelings of loneliness

This paper studies social network changes during the COVID-19 crisis in the Netherlands and their relation to perceived loneliness for the younger and the older cohorts. Arguments from opportunity theory and social capital theory are used to formulate hypotheses on network changes during the pandemic. Core discussion networks and networks with practical helpers from two representative cohorts (18–35 years of age and 65+ years of age, n = 1342 participants in both waves) during the lockdown in May 2020 are compared with networks of the same respondents in May 2019. We find that networks became smaller and more focused on stronger ties, while weaker ties more often decayed. Feelings of loneliness incsreased on average for all respondents and in particular for those who live alone or have a disadvantaged socioeconomic position. Importantly, the decrease in the number of the practical helper network, that is, decline in relatively weaker ties, affects experiences of loneliness in both groups.     

How social exclusion distorts social network perceptions

In two studies we investigate whether social exclusion—a well-studied, common and quite painful social experience-influences people's perceptions of novel social networks. In a first study, exclusion experiences led people to report that novel networks were more dense relative to those who had not been excluded. As predicted, this was true only for social networks; exclusion had no impact on perceptions when networks were described as geographical. In a follow-up experiment, participants watched a custom-created video, depicting avatars interacting in social scenes and they were asked to report the ties among the avatars in the video. Exclusion experiences led people to see network ties where none exist (i.e., false positives), though there was no effect for exclusion (versus inclusion) on reports of false negatives. Results indicate that common social experiences systematically shape network perceptions, leading people to seeing novel social networks as more densely connected than they are.     

Univariate and multivariate models of positive and negative networks: Liking,disliking, and bully–victim relationships

Three relations between elementary school children were investigated: networks of general dislike and bullying were related to networks of general like. These were modeled using multivariate cross-sectional (statistical) network models. Exponential random graph models for a sample of 18 classrooms, numbering 393 students, were summarized using meta-analyses. Results showed (balanced) network structures with positive ties between those who were structurally equivalent in the negative network. Moreover, essential structural parameters for the univariate network structure of positive (general like) and negative (general dislike and bullying) tie networks were identified. Different structures emerged in positive and negative networks. The results provide a starting point for further theoretical and (multiplex) empirical research about negative ties and their interplay with positive ties.