Abstract
This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles and that could have relationships among them. Our clustering method identifies clusters with a link mining-based technique that uses the minimum spanning tree to construct group hierarchies. In this paper we analyze the scientific scenario in Computing Science in Brazil, assessing how researchers in the best universities and research centers collaborate and relate to each other.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994)
Freeman, L.: Centrality in social networks: Conceptual clarifications. Social Networks 1, 215–239 (1979)
Han, J., Kamber, M.: Data Mining: Concepts and techniques, 2nd edn. Morgan Kaufmann Publishers, USA (2006)
Newman, M.E.J.: The structure of scientific collaboration networks. In: Proceedings of the National Academy of Science USA 98, 404–409 (2001)
Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, E.C.: Introduction to Algorithms, 2nd edn. MIT Press and McGraw-Hill (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ströele A. Menezes, V. et al. (2008). Mining and Analyzing Organizational Social Networks Using Minimum Spanning Tree. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-88875-8_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88874-1
Online ISBN: 978-3-540-88875-8
eBook Packages: Computer ScienceComputer Science (R0)