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How to identify experts in a community?

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  • Balázs Sziklai

    (Centre for Economics and Regional Science
    Corvinus University of Budapest)

Abstract

The group identification literature mostly revolves around the problem of identifying individuals in the community who belong to ethnic or religious groups. Here we use the same model framework to identify individuals who play key role in some sense. In particular we will focus on expert selection in social networks. Ethnic groups and expert groups need completely different approaches and different type of selection rules are successful for one and for the other. We argue that stability is a key property in expert selection. The idea is that experts are more effective in identifying each other, thus the selected individuals should support each other’s membership. We propose a parametric algorithm based on the so called top candidate relation. The parameter expresses how permissive we want to be in expert selection. The two limit cases are the stable set and the top candidate core. The former contains virtually everybody that can be considered as an expert, while the latter consists of the elite. We establish an axiomatization to show that the algorithm is theoretically well-founded. Furthermore we present a case study using citation data to demonstrate its effectiveness. We compare its performance with classical centrality measures.

Suggested Citation

  • Balázs Sziklai, 2018. "How to identify experts in a community?," International Journal of Game Theory, Springer;Game Theory Society, vol. 47(1), pages 155-173, March.
    • Handle: RePEc:spr:jogath:v:47:y:2018:i:1:d:10.1007_s00182-017-0582-x
    DOI: 10.1007/s00182-017-0582-x
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    Cited by:

    1. Alcantud, José Carlos R. & Laruelle, Annick, 2018. "Collective identity functions with status quo," Mathematical Social Sciences, Elsevier, vol. 93(C), pages 159-166.
    2. Sziklai, Balázs R., 2021. "Ranking institutions within a discipline: The steep mountain of academic excellence," Journal of Informetrics, Elsevier, vol. 15(2).
    3. Balázs Sziklai, 2018. "How to identify experts in a community?," International Journal of Game Theory, Springer;Game Theory Society, vol. 47(1), pages 155-173, March.
    4. Csóka, Péter & Kondor, Gábor, 2019. "Delegációk igazságos kiválasztása társadalmi választások elméletével [Choosing a fair delegation by social choice theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 771-787.

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    More about this item

    Keywords

    Group identification; Expert selection; Stability; Citation analysis;
    All these keywords.

    JEL classification:

    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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