IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v48y2014i5p2657-2670.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-013-9915-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-013-9915-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ronald S. Burt, 1998. "The Gender Of Social Capital," Rationality and Society, , vol. 10(1), pages 5-46, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Ignacio Ramos-Vidal & Ilse Villamil & Alicia Uribe, 2019. "Underlying Dimensions of Social Cohesion in a Rural Community Affected by Wartime Violence in Colombia," IJERPH, MDPI, vol. 16(2), pages 1-15, January.
    3. 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.
    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. 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.
    6. 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.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lalanne, Marie & Seabright, Paul, 2011. "The Old Boy Network: Gender Differences in the Impact of Social Networks on Remuneration in Top Executive Jobs," IDEI Working Papers 689, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Florence Villesèche & Evis Sinani, 2023. "From Presence to Influence: Gender, Nationality and Network Centrality of Corporate Directors," Work, Employment & Society, British Sociological Association, vol. 37(2), pages 486-504, April.
    3. Nathalie Greenan & Emmanuelle Walkowiak, 2005. "Informatique, organisation du travail et interactions sociales," Économie et Statistique, Programme National Persée, vol. 387(1), pages 35-63.
    4. Lalanne, Marie & Seabright, Paul, 2016. "The old boy network: The impact of professional networks on remuneration in top executive jobs," SAFE Working Paper Series 123, Leibniz Institute for Financial Research SAFE.
    5. Gorji, Yasaman & Carney, Michael & Prakash, Rajshree, 2020. "Indirect nepotism: Network sponsorship, social capital and career performance in show business families," Journal of Family Business Strategy, Elsevier, vol. 11(3).
    6. Cristina Liébana-Presa & Elena Andina-Díaz & María-Mercedes Reguera-García & Iván Fulgueiras-Carril & David Bermejo-Martínez & Elena Fernández-Martínez, 2018. "Social Network Analysis and Resilience in University Students: An Approach from Cohesiveness," IJERPH, MDPI, vol. 15(10), pages 1-13, September.
    7. Pham, Tho & Talavera, Oleksandr, 2018. "Discrimination, Social Capital, and Financial Constraints: The Case of Viet Nam," World Development, Elsevier, vol. 102(C), pages 228-242.
    8. Jiafeng Gu & Ruiyu Zhu, 2020. "Social Capital and Self-Rated Health: Empirical Evidence from China," IJERPH, MDPI, vol. 17(23), pages 1-15, December.
    9. Olivier Godechot, 2013. "Le salaire dépend-il du sexe du supérieur ?," Économie et Statistique, Programme National Persée, vol. 464(1), pages 73-96.
    10. Marie-Christine Chalus-Sauvannet & Karine Demauras, 2019. "Caractéristiques et motivations des femmes Business Angels et leurs interactions avec les femmes entrepreneurs ?," Post-Print hal-02121737, HAL.
    11. Goodall, Amanda H. & Osterloh, Margit, 2015. "Women Have to Enter the Leadership Race to Win: Using Random Selection to Increase the Supply of Women into Senior Positions," IZA Discussion Papers 9331, Institute of Labor Economics (IZA).
    12. Ann L. Owen & Judit Temesvary & Andrew Wei, 2021. "Gender and Professional Networks on Bank Boards," Finance and Economics Discussion Series 2021-021r1, Board of Governors of the Federal Reserve System (U.S.), revised 23 Aug 2021.
    13. Patrick Saparito & Amanda Elam & Candida Brush, 2013. "Bank–Firm Relationships: Do Perceptions Vary by Gender?," Entrepreneurship Theory and Practice, , vol. 37(4), pages 837-858, July.
    14. John R. Becker–Blease & Jeffrey E. Sohl, 2011. "The Effect of Gender Diversity on Angel Group Investment," Entrepreneurship Theory and Practice, , vol. 35(4), pages 709-733, July.
    15. Cindy L. Cain & Erin Leahey, 2014. "Cultural Correlates of Gender Integration in Science," Gender, Work and Organization, Wiley Blackwell, vol. 21(6), pages 516-530, November.
    16. Richard T. Harrison & Colin M. Mason, 2007. "Does Gender Matter? Women Business Angels and the Supply of Entrepreneurial Finance," Entrepreneurship Theory and Practice, , vol. 31(3), pages 445-472, May.
    17. Jonas, Adam B. & Young, April M. & Oser, Carrie B. & Leukefeld, Carl G. & Havens, Jennifer R., 2012. "OxyContin® as currency: OxyContin® use and increased social capital among rural Appalachian drug users," Social Science & Medicine, Elsevier, vol. 74(10), pages 1602-1609.
    18. Buhai, I. Sebastian & van der Leij, Marco J., 2023. "A Social Network Analysis of Occupational Segregation," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    19. Deb Verhoeven & Katarzyna Musial & Stuart Palmer & Sarah Taylor & Shaukat Abidi & Vejune Zemaityte & Lachlan Simpson, 2020. "Controlling for openness in the male-dominated collaborative networks of the global film industry," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-23, June.
    20. Yang, Shen & Ke, Xiwang & Cheng, Cheng & Bian, Yanjie, 2023. "A matter of life and death: The power of personal networks for medical crowdfunding performance," Social Science & Medicine, Elsevier, vol. 329(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:48:y:2014:i:5:p:2657-2670. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.