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Discovering Patterns of Collaboration in Rough Set Research: Statistical and Graph-Theoretical Approach

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6954))

Abstract

In the paper we present some approach to analysis of large social networks and apply it to so called Pawlak collaboration graph. In order to build such graph we use data collected in the Rough Set Database System. Analyzing this data by means of own computer program, we discover some interesting patterns of collaboration among members of the rough set community represented by this graph.

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© 2011 Springer-Verlag Berlin Heidelberg

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Suraj, Z., Grochowalski, P., Lew, Ł. (2011). Discovering Patterns of Collaboration in Rough Set Research: Statistical and Graph-Theoretical Approach. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_33

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  • DOI: https://doi.org/10.1007/978-3-642-24425-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24424-7

  • Online ISBN: 978-3-642-24425-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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