BSN: An automatic generation algorithm of social network data

Authors:
Lixin Han;Hong Yan
Affiliations:
College of Computer and Information, Hohai University, Nanjing, Jiangsu, People's Republic of China and State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, Jiangsu, Peo ...;Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong and School of Electrical and Information Engineering, University of Sydney, NSW 2006, Australia
Venue:
Journal of Systems and Software
Year:
2011

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Abstract

In recent years, there has been considerable interest in the analysis of social network data. In this paper, we propose a novel automatic generation algorithm of social network data - the Biclustering Algorithm for Social Network Data algorithm. The algorithm introduces biclustering to social network analysis for automatic identification of associations among a group of actors and entities. The algorithm is different from existing ones in that it employs a combination of min-max and pattern searching procedures to construct hierarchical biclusters and discover the relationships among these actors, in order to easily interpret social network data. The algorithm is not subject to convexity limitations, and does not need to use derivatives information.