On Social Networks Reduction

Authors:
Václav Snášel;Zdeněk Horák;Jana Kočíbová;Ajith Abraham
Affiliations:
VSB Technical University Ostrava, Czech Republic;VSB Technical University Ostrava, Czech Republic;VSB Technical University Ostrava, Czech Republic;Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Norway
Venue:
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Year:
2009

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Abstract

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 use combination of Formal Concept Analysis and well-known matrix factorization methods to address computational complexity of social networks analysis and clarity of their visualization. The goal is to reduce the dimension of social network data and to measure the amount of information, which has been lost during the reduction. Presented example containing real data proves the feasibility of our approach.