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Reseach Article

Automatic Co-authorship Network Extraction and Discovery of Central Authors

by V. Umadevi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 4
Year of Publication: 2013
Authors: V. Umadevi
10.5120/12870-9853

V. Umadevi . Automatic Co-authorship Network Extraction and Discovery of Central Authors. International Journal of Computer Applications. 74, 4 ( July 2013), 1-6. DOI=10.5120/12870-9853

@article{ 10.5120/12870-9853,
author = { V. Umadevi },
title = { Automatic Co-authorship Network Extraction and Discovery of Central Authors },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 4 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number4/12870-9853/ },
doi = { 10.5120/12870-9853 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:19.010677+05:30
%A V. Umadevi
%T Automatic Co-authorship Network Extraction and Discovery of Central Authors
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 4
%P 1-6
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Scholarly publications are made available online by individual researchers on their home pages. The list of publications reflects the research work carried by individuals collaborating with one or more other researchers. Automatic extraction of author's name from the list of publications is required to construct a co-authorship network for identification of prominent authors. This will aid the scientific community to identify the works carried out in collaboration among the researchers. This paper will discuss the framework developed to automatically extract the names of authors from the list of publications to construct a Co-authorship network. Further the centrality measure analysis was carried out on this Coauthorship network to discover key authors.

References
  1. S. Uddin, L. Hossain, A. Abbasi, and K. Rasmussen. Trend and efficiency analysis of co-authorship network. Scientometrics, 20:687–699, February 2012.
  2. M. E. J. Newman. Co-authorship networks and patterns of scientific collaboration. In Proc. of the National Academy of Sciences, pages 5200–5205, 2004.
  3. Wolfgang Reinhardt, Christian Meier, Hendrik Drachsler, and Peter Sloep. Analyzing 5 years of ec-tel proceedings. In Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning, pages 531– 536, Springer-Verlag Berlin, 2011.
  4. M. E. J. Newman. Scientific collaboration networks - 2 shortest paths, weighted networks, and centrality. Physical Review E, 64:016132–1–7, 2001.
  5. M. E. J. Newman. The structure of scientific collaboration networks. In Proc. of the National Academy of Sciences, pages 404–409, 2001.
  6. Tasleem Arif, Rashid Ali, and M. Asger. Scientific coauthorship social networks: A case study of computer science scenario in india. International Journal of Computer Applications, 52:38–45, August 2012.
  7. Jess P. Mena-Chalco and Roberto Marcondes Cesar Junior. Towards automatic discovery of co-authorship networks in the brazilian academic areas. In IEEE Seventh International Conference on e-Science Workshops, pages 53–60, Stockholm, 2011.
  8. Roman Kern, Kris Jack, Maya Hristakeva, and Michael Granitzer. Teambeam meta-data extraction from scientific literature. D-Lib Magazine, 18, 2012.
  9. Wolfgang Glnzel and Andrs Schubert. Analysing scientific networks through co-authorship. Handbook of Quantitative Science and Technology Research, Kluwer Academic Publishers, Netherlands, 2005.
  10. Y. Han, B. Zhou, J. Pei, and Y. Jia. Understanding importance of collaborations in co-authorship networks. In SIAM International Conference on Data Mining, pages 1112–1123, 2009.
  11. Department of Computer Science & Engineering. Iit madras. http://www. cse. iitm. ac. in/faculty/, 2013. [Online; accessed April-2013].
  12. PERL. The perl programming language. http://www. perl. org/, 2013. [Online; accessed March-2013].
  13. Chaoqun Ni, Cassidy R. Sugimoto, and Jiepu Jiang. Degree, closeness, and betweenness: Application of group centrality measurements to explore macro-disciplinary evolution diachronically. In Proceedings of ISSI, pages 1–13, Durban, 2011.
  14. Centrality Measures. An introduction. https://sites. google. com/site/ networkanalysisacourse/schedule/ an-introduction-to-centrality-measures, 2013. [Online; accessed May-2013].
  15. M. E. J. Newman. A measure of betweenness centrality based on random walks. Cornell University Library arXiv:condmat/ 0309045, pages 1–15, 2003.
  16. R. J. DSouza and Johny Jose. Significance of eigenvector centrality for routing in a delay tolerant network. Journal of Computations & Modelling, 1:91–100, 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Co-authorship Network PERL GEPHI Automatic Extraction Centrality Measure