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Scientific Co-authorship Social Networks: A Case Study of Computer Science Scenario in India

by Tasleem Arif, Rashid Ali, M. Asger
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 12
Year of Publication: 2012
Authors: Tasleem Arif, Rashid Ali, M. Asger
10.5120/8257-1790

Tasleem Arif, Rashid Ali, M. Asger . Scientific Co-authorship Social Networks: A Case Study of Computer Science Scenario in India. International Journal of Computer Applications. 52, 12 ( August 2012), 38-45. DOI=10.5120/8257-1790

@article{ 10.5120/8257-1790,
author = { Tasleem Arif, Rashid Ali, M. Asger },
title = { Scientific Co-authorship Social Networks: A Case Study of Computer Science Scenario in India },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 12 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number12/8257-1790/ },
doi = { 10.5120/8257-1790 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:05.892012+05:30
%A Tasleem Arif
%A Rashid Ali
%A M. Asger
%T Scientific Co-authorship Social Networks: A Case Study of Computer Science Scenario in India
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 12
%P 38-45
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Co-authorship is one of the most tangible and well documented forms of research collaboration. Data mining techniques and social network analysis can be used to extract and study these collaborations. Social network analysis provides an insight into the connections between groups of individuals. It is these connections that channel flow of information and the sharing of knowledge. In order to understand flow of information and interpret collaboration, co-authorship can be used as a measure to study intra and inter organization collaborations. In this paper, we analyze the collaboration scenario in Computer Science in India, and access how researchers in few of the best Indian Institutes of Technology (IITs) collaborate and relate to each other. We construct and visualize scientific co-authorship social network graphs of these institutions. We also compare and contrast network metrics for these institutes and experimentally deduce that these networks like other social networks exhibit "small world" properties.

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Index Terms

Computer Science
Information Sciences

Keywords

Co-authorship Networks Visualization IIT

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