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Homophily and heterophily in personal networks. From mutual acquaintance to relationship intensity

Author

Listed:
  • Carlos Lozares

  • Joan Verd

  • Irene Cruz

  • Oriol Barranco

Abstract

This article deals with the analysis of homophily and heterophily in ego-centred networks (personal networks). The analysis takes a dual approach. First it uses the classical definition of homophily (in this article called elementary homophily) to compare mutual ties between groups defined by employment status, age and city of residence. These analyses are then enriched by incorporating the level of affective proximity, thus forming what we have called specific homophily. The analysis of elementary homophily confirms the expected predominance of homophilous relationships over heterophilous ones. The analysis of specific homophily shows that inter-group relationships between close and intimate contacts follow similar patterns, whereas these differ substantially for relationships that are not at all close. The comparison of the two types of homophily shows a correspondence between high values in elementary homophily and high values in close and intimate relationships. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • 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.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:5:p:2657-2670
    DOI: 10.1007/s11135-013-9915-4
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    1. Ronald S. Burt, 1998. "The Gender Of Social Capital," Rationality and Society, , vol. 10(1), pages 5-46, February.
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    Cited by:

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    2. Annie TUBADJI & Vassilis ANGELIS & Peter NIJKAMP, 2019. "Micro-Cultural Preferences and Macro-Percolation of New Ideas: A NetLogo Simulation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 168-185, March.
    3. Ignacio Ramos-Vidal, 2022. "Structural Cohesion, Role Equivalence, or Homophily: Which Process Best Explains Social Homogeneity?," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    4. Kayvan Sadeghi & Alessandro Rinaldo, 2020. "Hierarchical models for independence structures of networks," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 439-457, August.
    5. Annie Tubadji & Peter Nijkamp, 2016. "Six degrees of cultural diversity and R&D output efficiency," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 247-264, October.
    6. Ladan Ghahramani & Jalayer Khalilzadeh & Birendra KC, 2018. "Tour guides’ communication ecosystems: an inferential social network analysis approach," Information Technology & Tourism, Springer, vol. 20(1), pages 103-130, December.
    7. Coloma à lvarez Santamaría & Consuelo Riaño Gil & Agustín V. Ruiz Vega, 2024. "The Power of Social Commerce: Understanding the Role of Social Word-of-Mouth Behaviors and Flow Experience on Social Media Users’ Purchase Intention," SAGE Open, , vol. 14(3), pages 21582440241, September.
    8. 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.
    9. Miao He & Xiaoming John Zhang, 2023. "Affinity, value homophily, and opinion dynamics: The coevolution between affinity and opinion," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-20, November.

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