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Discovering patterns of collaboration in rough set research: Statistical and graph-theoretical approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011) 6954 LNAI 238-247
DOI: 10.1007/978-3-642-24425-4_33
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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. © 2011 Springer-Verlag.

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6954 LNAI, pp. 238–247). https://doi.org/10.1007/978-3-642-24425-4_33

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