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Analysis and identification of a social interaction model

Shen, Xi, De Wilde, Philippe (2005) Analysis and identification of a social interaction model. Physica A: Statistical Mechanics and its Applications, 350 (2-4). pp. 597-610. ISSN 0378-4371. E-ISSN 1873-2119. (doi:10.1016/j.physa.2004.11.042) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58043)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1016/j.physa.2004.11.042

Abstract

In this paper, we present a model of social interaction systems. By comparing it with existing analytical models, and using simulations, we focus on dynamical behavior and interaction properties of this nonlinear time-varying system. The system's behavior can be predicted if we have sufficient knowledge of system parameters such as the connection matrix. Observation of system behavior can be useful to recover the unknown or insufficiently known levels of interaction strength. Furthermore, if proper sampling can be carried out, the system can be identified. This model is suitable for investigating social phenomena such as the fashion phenomenon. © 2005 Elsevier B.V. All rights reserved.

Item Type: Article
DOI/Identification number: 10.1016/j.physa.2004.11.042
Uncontrolled keywords: Computer simulation; Ecosystems; Game theory; Large scale systems; Matrix algebra; Nonlinear systems; Parameter estimation; Time varying systems, Auction pricing systems; Fashion; Payoff functions; Social interaction, Economic and social effects
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 19 Dec 2022 16:08 UTC
Last Modified: 05 Nov 2024 10:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58043 (The current URI for this page, for reference purposes)

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