A comparison of email networks and off-line social networks: A study of a medium-sized bank

Recently there has been a surge in the availability of online data concerning the connections between people, and these online data are now widely used to map the social structure of communities. There has been little research, however, on how these new types of relational data correspond to classical measures of social networks. To fill this gap, we contrast the structure of an email network with the underlying friendship, communication, and advice seeking networks. Our study is an explorative case study of a bank, and our data contains emails among employees and a survey of the ego networks of the employees. Through calculating correlations with QAP standard errors and estimating exponential random graph (ERG) models, we find that although the email network is related to the survey-based social networks, email networks are also significantly different: while off-line social networks are strongly shaped by gender, tenure, and hierarchical boundaries, the role of these boundaries are much weaker in the email network.     

The stability of exchange networks

Economic and sociological exchange theories predict divisions of exchange benefits given an assumed fixed network of exchange relations. Since network structure has been found to have a large impact on actors’ payoffs, actors have strong incentives for network change. We answer the question what happens to both the network structure and actor payoffs when myopic actors change their links in order to maximize their payoffs. We investigate the networks that are stable, the networks that are efficient or egalitarian with varying tie costs, and the occurrence of social dilemmas. Only few networks are stable over a wide range of tie costs, and all of them can be divided into two types: efficient networks consisting of only dyads and at most one isolate, and Pareto efficient and egalitarian cycles with an odd number of actors. Social dilemmas are observed in even-sized networks at low tie costs.     

The Role of Marital Status and Age on Men’s and Women’s Reactions to Touch from a Relational Partner

Prior research has consistently documented differences between men’s and women’s reactions to being touched by other people. One of the more interesting findings in this literature is the apparent role of marital status in dramatically altering these sex differences in reactions to intimate touch. Unmarried men tend to respond more favorably to intimate touch than unmarried women do, but this difference is reversed among married people. However, research that documented this effect has potentially confounded marital status with age. Participants in this investigation were 305 adults, ranging in age from 18–69. They completed an extensive survey of their reactions to touch to various body regions from a significant other. Results indicated that men had uniformly more positive reactions to intimate touch than women did. For non-intimate touch, the sexes were more comparable in their reactions. This investigation once again documented a disordinal sex by marital status interaction. Unmarried men had generally more positive reactions to touch than unmarried women did and this pattern was reversed among married participants. When statistically controlling for participants’ age, these interactions were still evident.     

Generalized blockmodeling of valued networks

The paper presents several approaches to generalized blockmodeling of valued networks, where values of the ties are assumed to be measured on at least interval scale. The first approach is a straightforward generalization of the generalized blockmodeling of binary networks [Doreian, P., Batagelj, V., Ferligoj, A., 2005. Generalized Blockmodeling. Cambridge University Press, New York.] to valued blockmodeling. The second approach is homogeneity blockmodeling. The basic idea of homogeneity blockmodeling is that the inconsistency of an empirical block with its ideal block can be measured by within block variability of appropriate values. New ideal blocks appropriate for blockmodeling of valued networks are presented together with definitions of their block inconsistencies.     

Unequal networks: comparing the pre‐migration overseas networks of Indonesian and Filipino migrant domestic workers

Previous studies of Asian migrant domestic workers' pre‐migration overseas networks have tended to be ethnographic, small‐n case studies such that it is unclear if network differences between migrants are due to individual‐ or country‐level differences or both. This article draws from an original survey of 1,206 Filipino and Indonesian domestic workers in Singapore and Hong Kong to reveal statistically significant differences in the pre‐migration overseas networks of these two nationality groups even after controlling for migrants' educational attainment, marital status, employment status, age, year of first migration, and survey location. Multiple regression analysis highlights how Filipino respondents are more likely than Indonesian respondents to have known existing migrants prior to their first migration from their homeland. Filipino respondents' overseas networks are also significantly larger, more geographically dispersed, and comprise more white‐collar contacts. These findings open up new terrain for migration scholars to study the impact of these nationality‐based network differences on the two groups' divergent migration experiences and aspirations.     

Exponential random graph models for multilevel networks

Modern multilevel analysis, whereby outcomes of individuals within groups take into account group membership, has been accompanied by impressive theoretical development (e.g. Kozlowski and Klein, 2000) and sophisticated methodology (e.g. Snijders and Bosker, 2012). But typically the approach assumes that links between groups are non-existent, and interdependence among the individuals derives solely from common group membership. It is not plausible that such groups have no internal structure nor they have no links between each other. Networks provide a more complex representation of interdependence. Drawing on a small but crucial body of existing work, we present a general formulation of a multilevel network structure. We extend exponential random graph models (ERGMs) to multilevel networks, and investigate the properties of the proposed models using simulations which show that even very simple meso effects can create structure at one or both levels. We use an empirical example of a collaboration network about French cancer research elites and their affiliations (0125 and 0120) to demonstrate that a full understanding of the network structure requires the cross-level parameters. We see these as the first steps in a full elaboration for general multilevel network analysis using ERGMs.     

Relational resources, gender consciousness and possibilities of change in marital relationships

Investigating the possibilities of change in marital relationships, we argue, involves examining the interplay of gender consciousness, relational resources and material circumstances in their concrete, interactional manifestations. The attempt to address this interface is grounded in the idea that understanding gender relations necessarily involves both institutional and interactional dimensions. While much research has been devoted to the influence of material or structural resources on indicators such as the domestic division of labour, relatively little direct attention has been given to the issue of differing ‘relational’ or interpersonal resources. We use a multi-method approach based on interviews with women in different occupations to analyse possibilities of change in marital communication and the domestic division of labour in relation both to women's material and to their relational resources. We conclude that a combination of increased gender consciousness and the development of particular inter-personal skills facilitates negotiation and change in the boundaries regulating both communication and the domestic division of labour within the marital relationship.     

Partitioning large signed two-mode networks: Problems and prospects

While a substantial amount of attention within social network analysis (SNA) has been given to the study of one-mode networks, there is an increasing consideration of two-mode networks. Recent research on signed networks resulted in the relaxed structural balance (RSB) approach and its subsequent extension to signed two-mode networks involving social actors and social objects. We extend this approach to large signed two-mode networks, and address the methodological issues that arise. We develop tools to partition these types of networks and compare them with other approaches using a recently collected dataset of United Nations General Assembly roll call votes. Although our primary purpose is methodological, we take the first step towards bridging Heider's structural balance theory with recent theorizing in international relations on soft balancing of power processes.     

Universal evolution patterns of degree assortativity in social networks

Degree assortativity characterizes the propensity for large-degree nodes to connect to other large-degree nodes and low-degree to low-degree. It is important to describe the forces forming the network and to predict the behavior of dynamic systems on the network. To understand the evolutionary dynamics of degree assortativity, we collect a variety of empirical temporal social networks, and find that there is a universal pattern that the degree assortativity increases at the beginning of evolution and then decreases to a long-lasting stable level. We develop a bidirectional selection model to re-construct the evolution dynamic. In our model, we assume each individual has a social status that—in analogy to Pareto’s wealth distribution —follows a power-law distribution. We assume the social status determines the probability of an interaction between two actors. By varying the ratio of link establishment from within the same status level to across different status levels, the simulated network can be tuned to be assortative or disassortative. This suggests that the rise-and-fall pattern of degree assortativity is a consequence of the different network-forming forces active at different mixing of status. Our simulations indicate that Pareto social status distribution in the population may drive the social evolution in a way of self-optimization to promote the social interaction among individuals and the status gap plays an important role for the assortativity of the social network.     

Depression and the psychological benefits of entering marriage

Past research has consistently documented the positive relationship between a transition to marriage and psychological well-being. In this study, we separate the depressed from the nondepressed to assess whether the benefits marriage has for psychological well-being depend on premarital depression. We also examine whether the effect of marital quality in moderating the psychological consequences of marriage differs for the depressed and the nondepressed. Results indicate that, on average, those who were depressed prior to marrying report larger psychological gains from marriage than those who were not depressed. The role of marital quality in moderating the effect of marriage on psychological well-being is similar for previously depressed and previously nondepressed respondents. These findings call into question the assumption that marriage is always a good choice for all individuals. What appear to be strong average benefits of marriage are actually highly dependent on a range of individual, interpersonal, and structural characteristics.     

What Explains Divorced Women's Poorer Health? The Mediating Role of Health Insurance and Access to Health Care in a Rural Iowan Sample

Economic restructuring in rural areas in recent decades has been accompanied by rising marital instability. To examine the implications of the increase in divorce for the health of rural women, we examine how marital status predicts adequacy of health insurance coverage and health care access, and whether these factors help to account for the documented association between divorce and later illness. Analyzing longitudinal data from a cohort of over 400 married and recently divorced rural Iowan women, we decompose the total effect of divorce on physical illness a decade later using structural equation modeling. Divorced women are less likely to report adequate health insurance in the years following divorce, inhibiting their access to medical care and threatening their physical health. Full‐time employment acts as a buffer against insurance loss for divorced women. The growth of marital instability in rural areas has had significant ramifications for women's health; the decline of adequate health insurance coverage following divorce explains a component of the association between divorced status and poorer long‐term health outcomes.     

Territorial bounds to virtual space: transnational online and offline networks of Iranian and Turkish–Kurdish immigrants in the Netherlands

Abstract In this article we question a central trope of transnationalism and new media – deterritorialization – and its application to border crossing Internet usage by Iranian and Turkish‐Kurdish migrants in the Netherlands. Their Internet usage indicates the extent to which territoriality channels these groups' online practice. We found Dutch‐Iranian sites reflected correspondingly sparse offline community networks and state boundaries moulded their transnational ties, while regionally specific transnational dynamics were evident in Turkish‐Kurdish website surfing. These cases indicate that transnationalism and new media need not broaden or dissolve geographical identity or connectivity, but may reinforce it. Finally, we address the relations of territoriality with generation (first and second) and network medium (web forums versus conventional sites). Whereas first‐generation migrants' life online often reveals extensions of offline networks, the online practice of the second generation frequently reflects these networks in subtler ways, forming partially sovereign online communities that pivot on hyphenated identities. However, the relations of generation and network medium differ for Turkish Kurds and Iranians in the Netherlands.     

Cultures of embodied experience: technology, religion and body pedagogics

Two trends have dominated recent sociological analyses of embodiment. There has, on the one hand, been a proliferation of analyses identifying bodies as the experiential vehicles through which we exist and interact in the world. On the other hand, this has been accompanied by a large growth in studies suggesting that technological advances have both increased our exposure to instrumental rationality and radically weakened the boundaries between humans and machines. Considered together, these trends raise an important question which has, however, been marginalised in the literature: if bodies are increasingly shaped and even constituted by the performative demands and invasive capacities of technology, what implications does this have for our lived experience of ourselves and our social and natural environment? In addressing this issue, our paper revisits Heidegger's discussion of the technological ‘enframing’ of humans and asks two questions. First, what have we lost experientially by being positioned as a ‘standing reserve’ for technologically driven demands for efficiency in contemporary society? Second, can the analysis of religious attempts to reframe human experience provide us with a perspective from outside this technological culture that enables us to appreciate the embodied experiences, dispositions and potentialities of humans in fresh ways? Our approach to these issues proceeds via a comparative study of the ‘body pedagogics’ of modern technological culture and two, very different, religious cultures.     

Social networks: A village of support for single mothers

The purpose of this study was to expand the literature by investigating the perception of social support by single mothers who sought online support through social media. This study explored sources of social support in single mothers using the Multidimensional Scale of Perceived Social Support (MSPSS) to examine if income, education level, or type of marital status is related to sources of social support among single mothers who utilized online support. The study also investigated statements regarding support from family, friends, and significant others that were ranked highest by single mothers who utilized online support. Results revealed that participants received sufficient amounts of social support from family, friends, and significant others, with income accounting for 12% of the variance in social support subscale scores and no significant differences with regards to education level or type of marital status. Results also indicated that three of the four most strongly rated items on the MSPSS related to social support from friends. This study invites mental health providers and researchers to consider the value and utilization of social media networks for single mothers.     

Is America coming apart? Socioeconomic segregation in neighborhoods,schools, workplaces,and social networks, 1970–2020

As income inequality in the United States has reached an all-time high, commentators from across the political spectrum warn about the social implications of these economic changes. America, they fear, is “coming apart” as the gap between the rich and poor grows into a fault line. This paper provides a comprehensive review of empirical scholarship in sociology, education, demography, and economics in order to address the question: How have five decades of growing economic inequality shaped America's social landscape? We find that growing levels of income inequality have been accompanied by increasing socioeconomic segregation across (1) friendship networks and romantic partners, (2) residential neighborhoods, (3) K-12 and university education, and (4) workplaces and the labor market. The trends documented in this review give substance to commentators' concerns: compared to the 1970s, rich and poor Americans today are less likely to know one another and to share the same social spaces. The United States is a nation divided.     

A comparison of estimators for the network autocorrelation model based on observed social networks

Network autocorrelation models (NAMs) are widely used to study a response variable of interest among subjects embedded within a network. Although the NAM is highly useful for studying such networked observational units, several simulation studies have raised concerns about point estimation. Specifically, these studies have consistently demonstrated a negative bias of maximum likelihood estimators (MLEs) of the network effect parameter. However, in order to gain a practical understanding of point estimation in the NAM, these findings need to be expanded in three important ways. First, these simulation studies are based on relatively simple network generative models rather than observed networks, thereby leaving as an open question how realistic network topologies may affect point estimation in practice. Second, although there has been strong work done in developing two-stage least squares estimators as well as Bayesian estimators, only the MLE has received extensive attention in the literature, thus leaving practitioners in question as to best practices. Third, the performance of these estimators need to be compared using both bias and variance, as well as the coverage rate of each estimator's corresponding confidence or credible interval. In this paper we describe a simulation study which aims to overcome these shortcomings in the following way. We first fit real social networks using the exponential random graph model and used the Bayesian predictive posterior distribution to generate networks with realistic topologies. We then compared the performance of the three different estimators mentioned above.     

Ethnic segregation of friendship networks in school: Testing a rational-choice argument of differences in ethnic homophily between classroom- and grade-level networks

Adolescents’ school-based friendship networks tend to be segregated along ethnic lines. But few studies have examined whether variation in network boundaries affects the degree of ethnic friendship segregation. We use rational-choice theory to argue that ethnic homophily is more pronounced for friendships between classrooms than for those within classrooms. We empirically test this hypothesis using two-wave German panel data (N = 1258) and stochastic actor-oriented models (RSiena). In line with our theoretical argument, we find that the tendency to form same-ethnic friendships is indeed stronger at the grade level, which translates into stronger ethnic segregation in friendship networks at the grade level than at the classroom level. Implications for research on ethnic segregation in school-based friendship networks are discussed.     

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.