A Pathway Forwards for the Social Capital Metaphor
William McClain
Review of Social Economy, 2016, vol. 74, issue 2, 109-128
Abstract:
A major topic in economics is the analysis of a broad class of phenomena associated with interpersonal relationships, a topic that originally grew from theories of “social capital.” While the concept has been instrumental in bringing increased attention to social effects on economic outcomes, it has increasingly been replaced with approaches that consider instead networks and discrete interactions rather than aggregate measures of social capital. This has been an analytical improvement, but a great deal of work remains to bring empirical validity and relevancy to social network analysis. This paper presents two important approaches for achieving this, statistical analysis and agent-based modeling, and discusses their benefits, limitations, and complementary nature. Rather than waiting for either approach to achieve an ambiguous quality of maturity, integrating statistical analysis with simulation models of networks must begin now to push the frontiers of social network analysis forward.
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00346764.2015.1089106 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rsocec:v:74:y:2016:i:2:p:109-128
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RRSE20
DOI: 10.1080/00346764.2015.1089106
Access Statistics for this article
Review of Social Economy is currently edited by Wilfred Dolfsma and John Davis
More articles in Review of Social Economy from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().