DocumentCode
3705062
Title
Extracting academic social networks among conference participants
Author
Tasleem Arif;M. Asger; Majid Bashir Malik;Rashid Ali
Author_Institution
Deptt. of Info. Technology, BGSB University, Rajouri, J&K, India
fYear
2015
Firstpage
42
Lastpage
47
Abstract
Academics establish relations among them in multitude ways, co-authorship being one of them. In fact co-authorship has the advantage of being the best recorded among all forms of academic collaborations. Co-authored publications appear in the form of research articles, conference and workshop proceedings, technical reports, etc. As per DBLP, one of the major digital libraries, around 55 percent of the publications appear in conference and workshop proceedings. This implies that conference and workshops provide a rich environment for academics to portray their co-authorship based academic social networks. In this paper we extract academic social networks among conference participants, study their collaboration patterns, analyze their evolution over time and use social network analysis metrics to quantify them.
Keywords
"Collaboration","Social network services","Data mining","Metadata","Measurement","Information technology","Computer science"
Publisher
ieee
Conference_Titel
Contemporary Computing (IC3), 2015 Eighth International Conference on
Print_ISBN
978-1-4673-7947-2
Type
conf
DOI
10.1109/IC3.2015.7346650
Filename
7346650
Link To Document