Minutes,Meeting of Council: The Ohio Valley Sociological Society,Statler Hilton Hotel,Detroit, Michigan,Thursday, May 2, 1968

Abstract

A perennial issue in both rural and urban sociology has been whether or not size of place is associated with differences in the way that individuals relate to one another. This paper examines the relationship between size of place and the structural properties of personal social networks through the mediating effects of residential stability. Social network data from the General Social Survey (National Opinion Research Center 1990) provide support for the hypothesis that residential stability explains the association between size of place and social network density. The implications of these findings for community theory are discussed.     

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.     

Partner Naming and Forgetting: Recall of Network Members

Network researchers must contend with recall, forgetting, alters whose names are not known, and other potential biases in estimating the size of personal (ego) networks. We use data from a longitudinal study of sexual and drug use ego networks. Results show 6% forgetting for 30-day sex partners, 18% for drug use partners, and 26% for close friends. Forgetting is decreased by behavioral specificity and salience. Forgetting increases with network size and time frame. In the domain of sex relationships, global estimates of network size, at least over a period of 30 days, are equivalent to estimates from partner naming 92% of the time if anonymous partners are accounted for.     

Networks — a new paradigm of rural development?

The network concept has become widely utilised in socioeconomic studies of economic life. Following the debates around exogenous and endogenous development, networks may also have particular utility in understanding diverse forms of rural development. This paper assesses whether networks provide a new paradigm of rural development. It seeks to capture a series of differing perspectives on economic networks — including political economy, actor-network theory and theories of innovation and learning — and attempts to show how these perspectives might be applied to different types of rural areas. The paper demarcates two main “bundles” of networks: “vertical” networks — that is, networks that link rural spaces into the agro-food sector — and “horizontal” networks — that is, distributed network forms that link rural spaces into more general and non-agricultural processes of economic change. It is argued that rural development strategies must take heed of network forms in both domains and that rural policy should be recast in network terms.     

Moral hazard in marriage: the use of domestic labor as an incentive device

This paper argues that some women in developing countries use domestic labor as a tool to incentivize husbands. A theoretical model is derived based on the traditions of rural Malawi, where men often supplement farm income with wage labor. As wage labor is not observed by the wife, this creates moral hazard: husbands may not make enough effort to bring home wages. The model predicts that women overcome this by using domestic labor as an incentive device: they increase their domestic labor and reduce their leisure in response to good consumption outcomes, but only if they cannot rely on divorce threat as an alternative source of incentives. This prediction is confirmed using survey data from Malawi. Identification is based on the fact that Malawi’s kinship traditions exogenously determine women’s accessibility to divorce. Where divorce is not an option, women make inefficient labor choices in order to provide incentives.     

A sexual affiliation network of swingers,heterosexuals practicing risk behaviours that potentiate the spread of sexually transmitted infections: A two-mode approach

Using the example of the sexual affiliation networks of swingers, this paper examines how the analysis of sexual affiliation networks can contribute to the development of sexually transmitted infection (STI) prevention strategies. Two-mode network methodology and ERGMs are applied to describe the structural composition of the affiliation network and analyse attribute effects. Swingers were found to recruit their sex partners through one large, moderately cohesive network component. Swingers who used drugs or had a longer history of swinging tended to frequent websites instead of clubs. This study confirms the relevance of studying sexual affiliation networks and its additional value for STI epidemiology.     

The impact of social networks on the occupational status of migrants

This paper postulates that there is a continuous exchange of information and knowledge between those who share the common bond of having migrated to the US. The individual components of this information exchange constitute social networks. The 2 hypotheses tested are 1) immediate social networks and people known in the US facilitate the flow of information both to new migrants and between established migrants, thus promoting upward social mobility; and 2) access to broader network ties, organization membership, extra-ethnic friendships, and familiarity with established institutions smooths the transition process, resulting in increased social position. The data used comes from a study conducted in 1982-1983 in 4 Mexican sending communities (2 rural, 2 urban), for a total of 440 migrants. Results show that migrants in every socioeconomic bracket reported access to some or all social network characteristics. There was contact with either a family member or acquaintances from the migrants' town of origin. Over 50% of migrants reported knowing many fellow townspeople. Twice as many migrants belong to a sports club as to a social or religious organization. Very few rural migrants report knowing no townspeople, while 32% of urban migrants claim no knowledge of fellow migrants from their town of origin. Urban origin migrants report more contacts with those of other ethnicity than rural migrants. Those employed in agriculture are least acquainted with social information and contacts, while those in skilled and service sectors are well acquainted with them. The results of fact and analysis show that 1) access to personal US networks results in an average 4.4 point advantage in occupational prestige scores over no access, and 2) utilizing institutional US networks combined with any cumulative US experience gives a migrant a 5 point advantage over a fellow migrant with identical experience level but no institutional network contacts. This is also true for institutional Mexican networks. Thus success or failure in migrating is partly due to migrants' societal infrastructure and the fact that available information and social networks are accessed and utilized differently by different migrants.     

At the intersection of criminal justice involvement and sexual orientation: Dynamic networks and health among a population-based sample of young Black men who have sex with men

Mass incarceration of young Black men has a significant impact on their network composition and stability that, in turn, may have major implications for health and well-being. A sub-group of young Black men with criminal justice involvement (CJI) identify as gay, bisexual or are non-identified men who have sex with men (hereafter MSM). This paper focuses on the potential effects of CJI on the composition of Black MSM social and sexual networks, their stability over time, and concomitant health and social outcomes. We use data from the UConnect study, a population-based cohort of young Black MSM 16–29 years of age (n = 618) selected using respondent-driven sampling in Chicago from 2013 to 2016. Both confidant and sexual network name generators and interpreters were administered at 9-month intervals over three waves of data collection. Ego and dyadic-level data were collected on behaviors prevalent among MSM and including factors associated with network CJI, network stability, and health outcomes. Generalized Structural Equation Models (GSEM) were utilized to determine the relationship between CJI network composition, network stability and behaviors prevalent among young Black MSM and their networks. In the UConnect cohort, 46% had at least once been detained, arrested or spent time in jail or prison. In addition, 20% of participants reported incident CJI over the study period. Respondents with a history of CJI were significantly more likely to have CJI homophily in their confidant and sexual networks. Multivariate analyses demonstrate that the association between one’s history of CJI, housing instability and drug use is partially explained by one’s network CJI. In addition, a higher prevalence of network CJI is associated with increased turnover in the confidant network, and this network instability is also related to important health and social outcomes. This analysis describes the networks of criminal justice involved men among a representative sample of young Black MSM and demonstrates the relationship between CJI network homophily, network stability and their impact on several key health and social outcomes relevant to this population.     

Network recall among older adults with cognitive impairments

Although it is widely accepted that personal networks influence health and illness, network recall remains a major concern. This concern is heightened when studying a population that is vulnerable to cognitive decline. Given these issues, we use data from the Social Network in Alzheimer Disease project to explore similarities and discrepancies between the network perceptions of focal participants and study partners. By leveraging data on a sample of older adults with normal cognition, mild cognitive impairment, and early stage dementia, we explore how cognitive impairment influences older adults’ perceptions of their personal networks. We find that the average individual is more likely to omit weaker, peripheral ties from their self-reported networks than stronger, central ties. Despite observing only moderate levels of focal-partner corroboration across our sample, we find minimal evidence of perceptual differences across diagnostic groups. We offer two broad conclusions. First, self-reported network data, though imperfect, offer a reasonable account of the core people in one’s life. Second, our findings assuage concerns that cognitively impaired older adults have skewed perceptions of their personal networks.     

Zur Erklärung von sozialer Ansteckung beim Übergang zur Elternschaft

Using panel data (N = 1679 married and cohabiting couples), this paper investigates the impact of social contagion processes in first births. The empirical results confirm an association between the transition rate into parenthood and the share of network members (friends, acquaintances, siblings) with young children. Several bridge assumptions concerning the explanation of social contagion are tested. It can be shown that social networks have an impact on reproductive planning in that network members provide Ego with information on the joys and challenges of parenthood. Furthermore, younger couples whose network partners mostly still live with children, place a high priority on starting a family. Beyond that, the transition to parenthood is also found to be functional for maximizing one’s social approval when the share of network members with young children rises. Older childless couples are increasingly exposed to social pressure from friends and siblings with children. This type of social pressure decreases a couple’s propensity to start a family, though.     

Schema via Structure? Personal Network Density and the Moral Evaluation of Infidelity

This article considers whether the density of a person's social network is related to his/her moral attitudes toward infidelity. Integrating recent sociological thinking on moral schemas with network theory's insights about deviance and structural independence, I employ data from a representative sample of American men aged 57–85. Findings indicate that men with the densest personal networks are least likely to condone infidelity. This association, moreover, was independent of men's education, their beliefs about religion and sex, and attitudes about their partners, among other factors. The findings imply an affinity between micro‐social structure and moral judgment, suggesting that network density can help constrain even the expression of moral attitudes.     

Network effects on organizational decision-making: Blended social mechanisms and IPO withdrawal

This paper develops a new approach to the study of network effects in organizations and markets by proposing that structural influences on social and economic action result from contingent blends of well-understood social mechanisms. We emphasize the interplay of three different network processes: resource and information transfer, status signaling and certification, and social influence. Different mixes of these mechanisms characterize disparate networks because the obligations imposed by ties and the capacities of partners result in situations where mechanisms amplify or diminish one another. We test hypotheses about mechanism interactions using four years (1997–2000) of data on high-technology IPOs that situate organizational decisions about whether to withdraw an offering in two distinct networks. We find that network mechanisms exert multiple moderating effects on one another and that those effects vary systematically across venture capital syndicate and director interlock networks. These findings help to explain why different networks exert disparate effects, why the effects of some structures change as their larger contexts shift, and why even very successful organizations can sometimes find themselves hamstrung by their connections.     

The institutional antecedent to firms’ interorganizational network portfolios: Evidence from China

Although the amount of research on interorganizational networks has increased significantly in recent years, few studies have examined the antecedents to interorganizational network portfolios—organizations’ configuration of their relationship networks with other organizations. To address this gap, this study examines how firms’ interorganizational network portfolios vary across three types of ownership structures (i.e., state-owned, private, and multinational enterprises) in China. Cluster analysis of the data on 212 leading firms operating in China revealed two types of network portfolios firms maintain. Specifically, firms maintaining robust cross-sector portfolios had more extensive networks with organizations in the nonprofit and public sectors than firms maintaining limited cross-sector portfolios. Moreover, regression results suggested that firms across different ownership structures had distinct numbers and types of organizational partners, particularly nongovernmental organization (NGO) partners. Theoretical and practical implications are derived from the findings.     

"No TEBA...forget TEBA": the plight of Malawian ex-migrant workers to South Africa, 1988-1994

"This article is about the process of socioeconomic transformation in rural Malawi. It examines the survival strategies and enterprising spirit of Malawian migrant workers and their households. It argues that the strategies of these people often went beyond survival in the provision of basic necessities.... In March 1988, the South African Chamber of Mines stopped a century-old tradition of recruiting migrant workers from Malawi. This has arrested and put to a halt a process of accumulation taking place in the households of the returned migrant workers in the rural economy. Thus, the effects of the retrenchment of the workers will spread from the migrant and his family through the economic and social wellspring of all sectors of rural communities and their commercial lives."     

Support Network Connectedness in the Lives of Community-Dwelling Rural Elders and Their Families

Rural elders face challenges when accessing assistance from family, neighbors, and paid helpers. This support is essential to allow them to remain community dwelling as they develop physical challenges that limit their ability to care for themselves. This qualitative study followed a group of 16 rural elders with physical limitations for 1 year. In-depth interviews were conducted with them and eight members of their support networks, including five family members, to explore how rural older adults create and maintain support networks that allow them to remain community dwelling despite physical challenges that limit their self-care. The research question is, “How do members of the support network connect with each other to maximize the effectiveness of the network?” Family members coordinated assistance to maximize the abilities and availability of various network members. In addition, family members worked together with other family members, neighbors, and paid helpers to assist the elder. These strategies enhanced the ability of the network to assist the rural elder and also lessened the burden of care by dispersing it among network members.     

VERY LOCAL STRUCTURE IN SOCIAL NETWORKS

Triadic configurations are fundamental to many social structural processes and provide the basis for a variety of social network theories and methodologies. This paper addresses the question of how much of the patterning of triads is accounted for by lower-order properties pertaining to nodes and dyads. The empirical base is a collection of 82 social networks representing a number of different species (humans, baboons, macaques, bison, cattle, goats, sparrows, caribou, and more) and an assortment of social relations (friendship, negative sentiments, choice of work partners, advice seeking, reported social interactions, victories in agonistic encounters, dominance, and co-observation). Methodology uses low dimensional representations of triad censuses for these social networks, as compared to censuses expected given four lower-order social network properties. Results show that triadic structure is largely accounted for by properties more local than triads: network density, nodal indegree and outdegree distributions, and the dyad census. These findings reinforce the observation that structural configurations that can be realized in empirical social networks are severely constrained by very local network properties, making some configurations extremely improbable.     

Familiäre Netzwerke und Lebenszufriedenheit alter Menschen in ländlichen und urbanen Regionen

Using data from the German Socio-economic Panel (GSOEP) from 1996, we examined whether the size of elders’ family networks differs between rural and urban regions of Germany, and whether the size of the family network gives rural elders an advantage in terms of well-being. We analyzed the association between certain aspects of the family network (size, closeness of relationships, proximity of relatives), feelings of loneliness, sorrow and life-satisfaction in a structural equation model. Results revealed that rural elders do live in larger family networks compared to urban elders. The elders in rural areas had more family relations and felt closer to them; it was especially the latter aspect which had a positive effect on the subjective well-being of older persons. This effect was larger in the western part compared to the eastern part of Germany.     

Multilevel analysis of personal networks as dependent variables

In this paper, it is shown that multilevel methods are particularly well-suited for the analysis of relations in personal networks and the changes in these relations. Justice is done to the hierarchical nested structure of the data and the resulting dependence between observations “within egos”. Multilevel techniques can also give more specific insight on why personal networks change: they allow to distinguish between the influence of individual and of tie characteristics on the stability of personal networks as a whole and of specific ties within a personal network. This is illustrated by an application to changes in networks of four Dutch samples experiencing different life events.     

Revisiting the Rural-Urban Contrast: Personal Networks in Nonmetropolitan and Metropolitan Settings1

Abstract To revisit the rural-urban contrast, we use data from non-metropolitan and metropolitan subsamples of the 1985 General Social Survey to test whether, compared to personal networks in urban settings, personal networks in rural settings contain ties of greater intensity and role multiplexity, are based more on kinship and neighborhood solidarities rather than on friendship, are smaller, are denser, and have greater educational, race-ethnic, and religious homogeneity, but less age and gender homogeneity. Our results are generally consistent with these predictions. We then present evidence for rural diversity by comparing data from residents of a two-parish nonmetropolitan area in southwestern Louisiana to the nonmetropolitan subsample of the GSS. After discussing possible mechanisms for this covariation of spatial and aspatial communities, we conclude by commenting on the potential of network analysis to contribute to the resolution of these and other substantively important problems in rural sociology.     

Trust and partner selection in social networks: An experimentally grounded model

This article investigates the importance of the endogenous selection of partners for trust and cooperation in market exchange situations, where there is information asymmetry between investors and trustees. We created an experimental-data driven agent-based model where the endogenous link between interaction outcome and social structure formation was examined starting from heterogeneous agent behaviour. By testing various social structure configurations, we showed that dynamic networks lead to more cooperation when agents can create more links and reduce exploitation opportunities by free riders. Furthermore, we found that the endogenous network formation was more important for cooperation than the type of network. Our results cast serious doubt about the static view of network structures on cooperation and can provide new insights into market efficiency.