Title :
A Comparative Study of Expert Search Strategies in Online Social Networks
Author :
Yuh-Jzer Joung ; Shy-Min Chen ; Chih-Chang Wu ; Chiu, T.H.-Y.
Author_Institution :
Dept. of Inf. Manage., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
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.
Keywords :
query formulation; social networking (online); actor profiles; expert candidate-selection process; expert search strategies; expertise query; global knowledge network; local information; online social networks; structural attributes; Cities and towns; Data mining; Hamming distance; Search problems; Social network services; Uniform resource locators; Vectors; Hybrid-Based Search; Profile-Based Search; Search Strategy; Seeking; Social Networks; Structure-Based Search;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-5550-6
Electronic_ISBN :
1550-445X
DOI :
10.1109/AINA.2013.86
