On how to identify experts in a community

Arbeitspapier

The group identification literature mostly revolves around the problem of identifying individuals in the community who belong to groups with ethnic or religious identity. 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 experts groups need completely different approaches and different type of selection rules are successful for one and for the other. We drop monotonicity and independence, two common requirements, in order to achieve stability, a property which is indispensable in case of expert selection. The idea is that experts are more effective in identifying each other, thus the selected individuals should support each others membership. We propose an algorithm based on the so called top candidate relation. We establish an axiomatization to show that it 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.

Object Details

• ISBN: 978-615-5594-14-4
• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IEHAS Discussion Papers ; No. MT-DP - 2015/49

Classification and Topics

• Classification: Wirtschaft ; Social Choice; Clubs; Committees; Associations
• Subject: Group identification ; Expert selection ; Stability ; Citation analysis ; Nucleolus

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Sziklai, Balázs
• Event: Veröffentlichung
• (who): Hungarian Academy of Sciences, Institute of Economics
• (where): Budapest
• (when): 2015

Further information

• Handle: http://hdl.handle.net/10419/129861
• Last update: 10.03.2025, 11:45 AM CET