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Extending assortativity: An application to weighted social networks

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  • Arcagni, Alberto
  • Grassi, Rosanna
  • Stefani, Silvana
  • Torriero, Anna

Abstract

Assortativity by degree for complex networks is quantified by the Newman coefficient, and it describes a tendency for nodes to be connected to others with a similar degree. A generalization of the assortativity index has been proposed in the literature for undirected and unweighted networks, analysing the correlation between vertices that are not necessarily adjacent, but connected through paths, shortest paths and random walks. The aim of this study is to define a new class of higher-order assortativity measures for weighted networks. The effectiveness of these measures is evident in social networks, where both weights and connections are significant. Applications to Facebook and co-authorship networks are provided, analysing the assortativity beyond the nearest neighbours.

Suggested Citation

  • Arcagni, Alberto & Grassi, Rosanna & Stefani, Silvana & Torriero, Anna, 2021. "Extending assortativity: An application to weighted social networks," Journal of Business Research, Elsevier, vol. 129(C), pages 774-783.
    • Handle: RePEc:eee:jbrese:v:129:y:2021:i:c:p:774-783
    DOI: 10.1016/j.jbusres.2019.10.008
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    References listed on IDEAS

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    1. Wilkinson, Ian & Young, Louise, 2002. "On cooperating: firms, relations and networks," Journal of Business Research, Elsevier, vol. 55(2), pages 123-132, February.
    2. Monaghan, Sinéad & Lavelle, Jonathan & Gunnigle, Patrick, 2017. "Mapping networks: Exploring the utility of social network analysis in management research and practice," Journal of Business Research, Elsevier, vol. 76(C), pages 136-144.
    3. Ozkan-Canbolat, Ela & Beraha, Aydin, 2016. "A configurational approach to network topology design for product innovation," Journal of Business Research, Elsevier, vol. 69(11), pages 5216-5221.
    4. Arcagni, Alberto & Grassi, Rosanna & Stefani, Silvana & Torriero, Anna, 2017. "Higher order assortativity in complex networks," European Journal of Operational Research, Elsevier, vol. 262(2), pages 708-719.
    5. Chang, Hui & Su, Bei-Bei & Zhou, Yue-Ping & He, Da-Ren, 2007. "Assortativity and act degree distribution of some collaboration networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(2), pages 687-702.
    6. Laura Alessandretti & Piotr Sapiezynski & Vedran Sekara & Sune Lehmann & Andrea Baronchelli, 2018. "Evidence for a conserved quantity in human mobility," Nature Human Behaviour, Nature, vol. 2(7), pages 485-491, July.
    7. P. Van Mieghem & H. Wang & X. Ge & S. Tang & F. A. Kuipers, 2010. "Influence of assortativity and degree-preserving rewiring on the spectra of networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 76(4), pages 643-652, August.
    8. Leung, C.C. & Chau, H.F., 2007. "Weighted assortative and disassortative networks model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(2), pages 591-602.
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