Extraction, Visualisation and Analysis of Co- Authorship Based Academic Social Networks
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2015 by IJCTT Journal|
|Year of Publication : 2015|
|Authors : Tasleem Arif|
|DOI : 10.14445/22312803/IJCTT-V23P118|
Tasleem Arif "Extraction, Visualisation and Analysis of Co- Authorship Based Academic Social Networks". International Journal of Computer Trends and Technology (IJCTT) V23(2):85-91, May 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
In an online social network environment we establish relationships by sharing status, by way of likes, or tweets and retweets. However, these relationships are casual whereas the relationship established through co-authorship is much more formalized. Through this co-authorship relationship, researchers form academic social networks. In order to study these networks the co-authorship data has to obtained and used. Digital libraries like DBLP, Microsoft Academic Search, etc. provide a rich source of co-authorship information on the Internet. In addition to these digital libraries institutional websites also prove to be a rich source of co-authorship information of people working with that institution. Analysis of this co-authorship relationship provides a whole lot of information about authors and research activities carried out in an institution. In this paper we use social network analysis metrics to study these academic social networks obtained from the underlying co-authorship relationship. We obtained and analyzed social network both at institutional as well as individual author level to understand their research collaborations. It was observed that at the institutional level people have very few collaborations with people within their organization.
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Extraction & Visualisation, Academic Social Network, Co-authorship, Digital Libraries.