HUMAT: An Integrated Framework for Modelling Individual Motivations, Social Exchange and Network Dynamics

Wander Jager (), Patrycja Antosz (), Loes Bouman (), Teng Li (), J. Gareth Polhill (), Timo Szczepanska () and Shaoni Wang ()
Additional contact information
Wander Jager: http://www.rug.nl/w.jager
Loes Bouman: http://googlescholar.com/lbouman
Teng Li: https://echotengli.github.io/
J. Gareth Polhill: https://www.hutton.ac.uk/people/gary-polhill/

Journal of Artificial Societies and Social Simulation, 2025, vol. 28, issue 1, 4

Abstract: In this paper we present HUMAT, an integrated modelling framework that supports the simulation of social dynamics. HUMAT integrates theoretical ideas about human motives, cognitive dissonance, individual and social decision strategies, and the processes of influence that take place in networked communities. As such, HUMAT provides a generic model that can be implemented in a wide variety of cases dealing with opinion and behaviour dynamics in a social context, be it the adoption of a physical innovation or the promotion of an attitude in an online platform. The multi-theoretical background of HUMAT also provides a perspective on what types of qualitative and quantitative data can be used to parameterise real cases. This paper aims to provide an overview of the different processes modelled in HUMAT. Three applications are used to illustrate how HUMAT can be used to simulate and study social dynamics. The validation of the HUMAT framework is discussed in the context of the dynamic theory of social complexity.

Keywords: Integrated Modelling; Human Behaviour; Social Dynamics; Networks; HUMAT (search for similar items in EconPapers)
Date: 2025-01-31
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2023-139-3

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