A dominating set based approach to identify effective leader group of social network

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Abstract

Very recently, the study of social networks has received a huge attention since we can learn and understand many hidden properties of our society. This paper investigates the potential of social network analysis to select an effective leadership group of a society. Based on our real life observation, we establish three essential requirements for an effective leadership group, namely Influenceability, Partisanship, and Bipartisanship. Then, we formulate the problem of finding a minimum size leader group satisfying the three requirements as the minimum connected k-core dominating set problem (MCkCDSP), and show its NP-hardness. In addition, we introduce an extension of MCkCDSP, namely MCkCDSP-C, which assumes the society has a number of communities and requires at least one representative from each community should be in the leadership. At last, we propose an approximation algorithm for a subclass of MCkCDSP with k = 2, and show an α-approximation algorithm of MCkCDSP can be used to obtain an α-approximation algorithm of MCkCDSP-C. © 2013 Springer-Verlag Berlin Heidelberg.

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APA

Kim, D., Li, D., Asgari, O., Li, Y., & Tokuta, A. O. (2013). A dominating set based approach to identify effective leader group of social network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7936 LNCS, pp. 841–848). https://doi.org/10.1007/978-3-642-38768-5_77

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