Paper Info
Title
Reviewing Academic Social Network Mining Applications
Abstract
Social network systems not only play important roles in peoples' social life but also help them in their professional life too. This study explores academic social network systems and particularly focuses on the data extraction methods to develop social relations. Several studies have used search engines to extract social networks from the Web and some systems get their data by description of their members' relation to others like Social Network Services or Friend-Of-A-Friend documents. Both types of data gathering have their own limitations such as data unreliability and scalability of queries to search engines. In this paper, a basic understanding of the issues in academic social network systems is provided. Different approaches to various problems of retrieving reliable data (relational information), as the major item of making these systems, are briefly described, and possible future research directions are discussed.
Year
Venue
Keywords
2015
2015 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC)
Social network services (SNS), web mining, social network systems, knowledge sharing
Field
DocType
Citations 
Social relation,Data science,Web development,Organizational network analysis,World Wide Web,Social network,Social web,Computer science,Semantic Web,Social Semantic Web,Social computing
Conference
0
PageRank 
References 
Authors
0.34
18
1
Name
Order
Citations
PageRank
Alireza Abbasi1226.48