Ongoing processes in a fitness network model under restricted resources

Takayuki Niizato, Yukio Gunji

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    In real networks, the resources that make up the nodes and edges are finite. This constraint poses a serious problem for network modeling, namely, the compatibility between robustness and efficiency. However, these concepts are generally in conflict with each other. In this study, we propose a new fitness-driven network model for finite resources. In our model, each individual has its own fitness, which it tries to increase. The main assumption in fitness-driven networks is that incomplete estimation of fitness results in a dynamical growing network. By taking into account these internal dynamics, nodes and edges emerge as a result of exchanges between finite resources. We show that our network model exhibits exponential distributions in the in- and out-degree distributions and a power law distribution of edge weights. Furthermore, our network model resolves the trade-off relationship between robustness and efficiency. Our result suggests that growing and anti-growing networks are the result of resolving the trade-off problem itself.

    Original languageEnglish
    Article numbere0127284
    JournalPLoS One
    Volume10
    Issue number5
    DOIs
    Publication statusPublished - 2015 May 18

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    ASJC Scopus subject areas

    • Agricultural and Biological Sciences(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Medicine(all)

    Cite this

    Ongoing processes in a fitness network model under restricted resources. / Niizato, Takayuki; Gunji, Yukio.

    In: PLoS One, Vol. 10, No. 5, e0127284, 18.05.2015.

    Research output: Contribution to journalArticle

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