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    Human dynamics with limited complexity

    Levene, Mark and Fenner, Trevor and Loizou, George (2019) Human dynamics with limited complexity. International Journal of Parallel, Emergent and Distributed Systems 34 (4), pp. 356-363. ISSN 1744-5760.

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    Abstract

    Human dynamics suggest statistical models that may explain and provide us with better insight into human behaviour in various social contexts. Here, we provide a critical overview of human dynamics in the context of complex systems and sociophysics. One of the principal ideas in sociophysics is that, in a similar framework to that of statistical physics, individual humans can be thought of as \social atoms", each exhibiting simple individual behaviour and possessing limited intelligence, but nevertheless collectively giving rise to complex social patterns. In this context, we propose a generative multiplicative decrease process having an attrition function that controls the rate of decrease of the population at each stage of the process. The discrete solution to the model takes the form of a product, and a continuous approximation of this solution is derived via the renewal equation that describes age-structured population dynamics. We also investigate some limited complexity variations of the attrition function within this model.

    Metadata

    Item Type: Article
    Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis, available online at the link above.
    Keyword(s) / Subject(s): human dynamics, generative model, multiplicative process, attrition function, survival analysis, rank-order distribution
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Data Analytics, Birkbeck Institute for
    Depositing User: Administrator
    Date Deposited: 22 Jan 2019 09:48
    Last Modified: 09 Aug 2023 12:45
    URI: https://eprints.bbk.ac.uk/id/eprint/25968

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