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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21701

Title: An agent-based model of teams under external shocks
Authors: Robertson, Duncan A.
White, Leroy
Keywords: Agent-based model
Social network
Preferential attachment
Issue Date: 2016
Citation: ROBERTSON, D.A. and WHITE, L., 2016. An agent-based model of teams under external shocks. Presented at the 2016 International Conference on Group Decision & Negotiation Western Washington University, WA, June 20-24th.
Abstract: There is increasing interest in studies examining whether agent-based simulation models can reproduce the interactions between actors of an organization or group in an artificial environment where the agents make decisions with one another. In particular scholars are increasingly interested in whether an actor’s social network matter in the decision making process. In this paper, we review the mechanisms for creating artificial social networks in a group setting. We use an agent-based model to generate dynamic Preferential Attachment networks, and expose these networks to exogenous shocks. This causes these networks to cleave under their weakest point, using Newman’s concept of mod-ularity. We examine the resultant giant component and repeat the process to examine whether exposing a social network to repeated shocks creates more ro-bust or less robust networks. We compare these results with empirical data from a longitudinal network study. We provide findings which may be of use not only to the GDN and behavioral operational research community but also to the wider human resources management community.
Description: This paper is in closed access.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/21701
Publisher Link: https://wp.wwu.edu/gdn2016/
Appears in Collections:Closed Access (Business School)

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