A Comparative Study of Expert Search Strategies in Online Social Networks

Autor: Shy-Min Chen, Chih-Chang Wu, T. H-Y Chiu, Yuh-Jzer Joung
Rok vydání: 2013
Předmět:
Zdroj: AINA
DOI: 10.1109/aina.2013.86
Popis: Expert Seeking is a social network application that requires certain search strategies in the form of expert candidate-selection process. Assuming that no one in the network has the global knowledge, a query for expertise must be forwarded to, and between, candidates in order to reach the right person. During this candidate-selection process, a person determines whom to forward the query based only on the local information s/he knows. Two types of local information, actor profiles and structural attributes, may be used in devising search strategies. In this paper we conduct a comprehensive comparative study on search strategies using these types of information, as well as on search strategies using both types simultaneously to see if there is a synergy between them.
Databáze: OpenAIRE