Multiplex networks and interest group influence reputation: An exponential random graph model

Heaney, M. T. (2014) Multiplex networks and interest group influence reputation: An exponential random graph model. Social Networks, 36, pp. 66-81. (doi: 10.1016/j.socnet.2012.11.003)

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Abstract

Interest groups struggle to build reputations as influential actors in the policy process and to discern the influence exercised by others. This study conceptualizes influence reputation as a relational variable that varies locally throughout a network. Drawing upon interviews with 168 interest group representatives in the United States health policy domain, this research examines the effects of multiplex networks of communication, coalitions, and issues on influence reputation. Using an exponential random graph model (ERGM), the analysis demonstrates that multiple roles of confidant, collaborator, and issue advocate affect how group representatives understand the influence of those with whom they are tied, after accounting for homophily among interest groups.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Heaney, Dr Michael
Authors: Heaney, M. T.
College/School:College of Social Sciences > School of Social and Political Sciences
Journal Name:Social Networks
Publisher:Elsevier
ISSN:0378-8733
ISSN (Online):0378-8733
Published Online:20 December 2012

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