Abstract
The research community plays a very important role in helping researchers undertake new research topics. The authors propose a community mining system that helps to find communities of researchers by using bibliography data. The basic concept of this system is to provide interactive visualization of communities both local and global communities. We implemented this concept using actual bibliography data and present a case study using the proposed system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Small, H.: Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society of Information Science 24, 265–269 (1973)
Scientific literature digital library (2004), http://citeseer.ist.psu.edu/
Google scholar (2004), http://scholar.google.com/
Newman, M.E.J.: Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences of the USA 101, 5200–5205 (2004)
Garfield, E.: Citation indexes for science: A new dimension in documentation through association of ideas. Science 122, 108–111 (1955)
Motoda, H.: Active Mining. IOS Press, Amsterdam (2002)
Freeman, L.C.: Centrality in social networks: Conceptual clarification. Social Networks 1, 215–239 (1979)
CiNii (Citation Information by NII). National Institute of Informatics (2004), http://ci.nii.ac.jp/
Mysql (2004), http://www.mysql.com/
Scalable Vector Graphics (SVG) 1.1 specification. W3C SVG Working Group (2003), http://www.w3.org/TR/SVG/
Barabási, A.L.: LINKED: The New Science of Networks. Perseus Books Group (2002)
Ichise, R., Takeda, H.: Community mining system (2005), http://irweb.ex.nii.ac.jp/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ichise, R., Takeda, H., Ueyama, K. (2006). Exploration of Researchers’ Social Network for Discovering Communities. In: Washio, T., Sakurai, A., Nakajima, K., Takeda, H., Tojo, S., Yokoo, M. (eds) New Frontiers in Artificial Intelligence. JSAI 2005. Lecture Notes in Computer Science(), vol 4012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780496_48
Download citation
DOI: https://doi.org/10.1007/11780496_48
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35470-3
Online ISBN: 978-3-540-35471-0
eBook Packages: Computer ScienceComputer Science (R0)