Paper Info
Title
Network Based Approach for Discovering Academic Researchers with Shared Interests
Abstract
Interest or expertise of researchers is a kind of knowledge in organization, like university, research institute and research community. Effectively management of this kind of knowledge can facilitate communication of members in organization and improve their performance. Researchers’ cognitive limit and large amount of relevant information available present great challenge to discover researchers with similar interests. Previous research addresses this problem by investigating their research related relationships. The social network based approached do not satisfy researchers’ needs due to their failure to take into consideration the semantic information related to research interests. To solve this problem, in this research, we propose an integrated model based on ontology and social network analysis to mine researchers with similar interests.
Year
DOI
Venue
2010
10.1109/ICEE.2010.471
ICEE
Keywords
Field
DocType
discovering academic researchers,social network,research community,similar interest,shared interests,research interest,relevant information,available present great challenge,previous research,semantic information,research institute,social network analysis,organizations,network analysis,collaboration,knowledge management,data mining,ontology,satisfiability,symmetric matrices,semantics
Data science,Ontology,Social network,Computer science,Social network analysis,Knowledge management,Semantic information,Network analysis,Cognition,Semantics
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
6
Name
Order
Citations
PageRank
Yunhong Xu1647.20
Zhihua Chang200.34
Jiejia Lin300.68
Jian Ma41662103.00
Jin-Xing Hao533718.34
Dingtao Zhao6607.98