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2009 International Conference on Advances in Social Network Analysis and Mining
Reducing Social Network Dimensions Using Matrix Factorization Methods
Athens, Greece
July 20-July 22
ISBN: 978-0-7695-3689-7
Since the availability of social networks data and the range of these data have significantly grown in recent years, new aspects have to be considered. In this paper we address computational complexity of social networks analysis and clarity of their visualization. Our approach uses combination of Formal Concept Analysis and well-known matrix factorization methods. The goal is to reduce the dimension of social network data and to measure the amount of information which is lost during the reduction.
Index Terms:
concept lattice, two-mode social network, matrix factorization, correlation dimension
Citation:
Václav Snášel, Zdenek Horák, Jana Kocíbová, Ajith Abraham, "Reducing Social Network Dimensions Using Matrix Factorization Methods," asonam, pp.348-351, 2009 International Conference on Advances in Social Network Analysis and Mining, 2009
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