首页    期刊浏览 2024年11月30日 星期六
登录注册

文章基本信息

  • 标题:Extraction, Visualisation and Analysis of Co- Authorship Based Academic Social Networks
  • 本地全文:下载
  • 作者:Tasleem Arif
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2015
  • 卷号:23
  • 期号:2
  • 页码:85-91
  • DOI:10.14445/22312803/IJCTT-V23P118
  • 出版社:Seventh Sense Research Group
  • 摘要: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 coauthorship is much more formalized. Through this coauthorship relationship, researchers form academic social networks. In order to study these networks the coauthorship data has to obtained and used. Digital libraries like DBLP, Microsoft Academic Search, etc. provide a rich source of coauthorship information on the Internet. In addition to these digital libraries institutional websites also prove to be a rich source of coauthorship information of people working with that institution. Analysis of this coauthorship 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 coauthorship 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.
  • 关键词:Extraction & Visualisation; Academic SocialNetwork; Co-authorship; Digital Libraries.
国家哲学社会科学文献中心版权所有