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Emergence of leadership in complex networks and human groups

Francesco Alderisio, Maria Lombardi, Mario Di Bernardo

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    2 Citations (Scopus)
    485 Downloads (Pure)

    Abstract

    Leadership is a complex yet fascinating phenomenon crucial in many application where coordination of multi-agent systems is involved. This is particularly true in the case of animal groups and other natural systems including human ensembles where, for example in orchestras, a leader is often selected to steer the group towards some desired coordinated behaviour. In this paper we study the emergence of leadership in networks of heterogeneous Kuramoto oscillators, which offer a good model for capturing and describing coordination in human groups performing a joint oscillatory task. We present a mathematical framework to establish phase leadership in the network and apply the results to inform some preliminary experimental results in human groups.
    Original languageEnglish
    Title of host publication2018 IEEE International Symposium on Circuits and System (ISCAS 2018)
    Subtitle of host publicationProceedings of a meeting held 27-30 May 2018, Florence, Italy
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Number of pages5
    ISBN (Electronic)9781538648810
    ISBN (Print)9781538648827
    DOIs
    Publication statusPublished - 4 May 2018
    Event2018 IEEE International Symposium on Circuits and System - Firenze Fiera Congress and Exhibition Center, Florence, Italy
    Duration: 27 May 201830 May 2018
    http://www.iscas2018.org

    Publication series

    Name
    ISSN (Print)2379-447X

    Conference

    Conference2018 IEEE International Symposium on Circuits and System
    Abbreviated titleISCAS
    Country/TerritoryItaly
    CityFlorence
    Period27/05/1830/05/18
    Internet address

    Research Groups and Themes

    • Mathematics and Computational Biology

    Keywords

    • Complex Networks
    • Mathematical model
    • Oscillators
    • Synchronization
    • Task analysis
    • Topology

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