Social capital across the life course: Accumulation, diminution, or segregation?

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY

Network Science Pub Date : 2020-08-06 DOI:10.1017/nws.2020.26

Beate Volker

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引用次数: 40

Abstract

Abstract This study examines changes in individual social capital during adult life within a 19-year period. Social capital theory and life course theory are combined, and it is argued that changes in social networks do not necessarily go together with changes in social capital: while personal networks are known to decline in size with age, social capital can be expected to accumulate, in particular for those who had a better starting position and therefore more resources to share. Panel data from the survey of the social networks of the Dutch (SSND) (1999–2018) at four points of measurement are employed to inquire into this argument. Social capital is measured by the position generator instrument, and three indicators, that is, resource extensity, mean prestige access, and resource range are analyzed. Results of fixed effect models show that, on average, people maintain access to social capital, and that men and higher educated gain social capital through their life as opposed to women and lower educated. Implications for the understanding of the reproduction of social inequality are discussed. The paper concludes with a reflection upon the value of ego-centered network analysis in the era of big data and data science.

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贯穿一生的社会资本：积累、减少还是隔离？

摘要本研究考察了19年内成人生活中个人社会资本的变化。社会资本理论和生命历程理论相结合，有人认为，社会网络的变化不一定与社会资本的变化同时发生：虽然众所周知，个人网络的规模会随着年龄的增长而下降，但社会资本可以积累，特别是对于那些有更好起点的人，因此可以分享更多资源。采用荷兰社会网络调查（SSND）（1999-2008）的四个测量点的面板数据来探究这一论点。利用位置生成器工具对社会资本进行度量，分析了资源广度、平均声望获取和资源范围三个指标。固定效应模型的结果表明，平均而言，人们能够获得社会资本，与女性和受教育程度较低的人相比，男性和受过高等教育的人一生都能获得社会资本。讨论了对理解社会不平等再生产的启示。文章最后对以自我为中心的网络分析在大数据和数据科学时代的价值进行了反思。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

3.50

自引率

5.90%

发文量

期刊介绍： Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.