VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Evaluating group degree centrality and centralization in networks
    Karlovčec, Mario ; Krnc, Matjaž, 1987- ; Škrekovski, Riste
    Given a network G, the importance of groups can be modeled by group centrality measures. Freeman’s centralization is a way to normalize any given centrality or group centrality measure, which enables ... us to compare individuals or groups from different networks. We focus on a degree-based measure of group centrality and centralization, presented by Krnc and Škrekovski (2020). We describe its efficient implementation and study the behaviour of various real-world networks within this context. We conclude that very small groups, as well as very big ones, are not very central, i.e. as the group is growing, its value is increasing but, at some point it starts decreasing. Such unimodular behaviour is confirmed by our analysis of of group degree centralization of six real-world networks. At the end, we provide some challenges for future work.
    Vir: Informatica : an international journal of computing and informatics. - ISSN 0350-5596 (Vol. 46, no. 5, 2022, str. 85-94)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2022
    Jezik - angleški
    COBISS.SI-ID - 104834051

    Povezava(-e):

    Digitalna knjižnica Slovenije - dLib.si

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