Dynamic network analysis of contact diaries

Lerner, J., Lomi, A., Mowbray, J., Rollings, N. and Tranmer, M. (2021) Dynamic network analysis of contact diaries. Social Networks, 66, pp. 224-236. (doi: 10.1016/j.socnet.2021.04.001)

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Abstract

Analyzing two-mode networks linking actors to events they attend may help to uncover the structure and evolution of social networks. This classic social network insight is particularly valuable in the analysis of data extracted from contact diaries where contact events produce — and at the same time are the product of relations among participants. Contact events may comprise any number of actors meeting at a specific point in time. In this paper we recall the correspondence between two-mode actor–event networks and hypergraphs, and propose relational hyperevent models (RHEM) as a general modeling framework for networks of time-stamped multi-actor events in which the diarist (“ego”) simultaneously meets several of her alters. RHEM can estimate event intensities associated with each possible subset of actors that may jointly participate in events, and test network effects that may be of theoretical or empirical interest. Examples of such effects include preferential attachment, prior shared activity (familiarity), closure, and covariate effects explaining the propensity of actors to co-attend events. Statistical tests of these effects can uncover processes that govern the formation and evolution of informal groups among the diarist’s alters. We illustrate the empirical value of RHEM using data comprising almost 2000 meeting events of former British Prime Minister Margaret Thatcher with her cabinet ministers, transcribed from contact diaries covering her first term in office (1979–1983).

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Rollings, Professor Neil and Mowbray, Dr John and Tranmer, Professor Mark
Authors: Lerner, J., Lomi, A., Mowbray, J., Rollings, N., and Tranmer, M.
College/School:College of Social Sciences > School of Social and Political Sciences
College of Social Sciences > School of Social and Political Sciences > Economic and Social History
Journal Name:Social Networks
Publisher:Elsevier
ISSN:0378-8733
ISSN (Online):1879-2111
Published Online:22 April 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Social Networks 66: 224-236
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
302320Quantitative network analysis of appointment diariesNeil RollingsEconomic and Social Research Council (ESRC)ES/R009236/1S&PS - Economic & Social History