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 :
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