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Heterophily in social groups formation: a social network analysis

Author

Listed:
  • Oriol Barranco

    (Universitat Autònoma de Barcelona)

  • Carlos Lozares

    (Universitat Autònoma de Barcelona)

  • Dafne Muntanyola-Saura

    (Universitat Autònoma de Barcelona)

Abstract

Research on heterophily as a relational phenomenon is mostly limited to specific professional contexts which do not include knowledge about status or value heterophily as a possible group-generating principle. This article tries to close this gap by proposing and applying a new method of data analysis to investigate this possible role of heterophily. We apply social network analysis to personal network data. As a preliminary, we introduce a conceptual distinction between two types of heterophily, what we call intra-category heterophily and inter-category heterophily, and we validate the adjusted residuals of contingency tables to measure these two types of heterophily. Then, we reconstruct the relational space of these heterophilous relations among categories or attributes defined by socio-demographic and status characteristics. Finally, we group by faction algorithm the categories or attributes that maintain denser heterophilous relationships with each other than with the rest. The methodology proves to be valid and useful for achieving the desired analytical objective, revealing that status-heterophilous relationships can be considered as guiding principles, or mechanisms, for generating groups of social categories.

Suggested Citation

  • Oriol Barranco & Carlos Lozares & Dafne Muntanyola-Saura, 2019. "Heterophily in social groups formation: a social network analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 599-619, March.
    • Handle: RePEc:spr:qualqt:v:53:y:2019:i:2:d:10.1007_s11135-018-0777-7
    DOI: 10.1007/s11135-018-0777-7
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    References listed on IDEAS

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    1. Sujin Choi, 2017. "How do sociodemographic and structural similarities explain viewing pattern similarity by channel type? Insight from a network analytic approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1093-1112, May.
    2. Ronald S. Burt, 1998. "The Gender Of Social Capital," Rationality and Society, , vol. 10(1), pages 5-46, February.
    3. Carlos Lozares & Joan Verd & Irene Cruz & Oriol Barranco, 2014. "Homophily and heterophily in personal networks. From mutual acquaintance to relationship intensity," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2657-2670, September.
    4. Seungwha (Andy) Chung & Harbir Singh & Kyungmook Lee, 2000. "Complementarity, status similarity and social capital as drivers of alliance formation," Strategic Management Journal, Wiley Blackwell, vol. 21(1), pages 1-22, January.
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    Cited by:

    1. Stern, Samuel & Livan, Giacomo, 2021. "The impact of noise and topology on opinion dynamics in social networks," LSE Research Online Documents on Economics 113424, London School of Economics and Political Science, LSE Library.
    2. Daniel Prokop & Piers Thompson, 2023. "Defining networks in entrepreneurial ecosystems: the openness of ecosystems," Small Business Economics, Springer, vol. 61(2), pages 517-538, August.

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