Work place: Computer Science of IASBS, Zanjan, Iran
E-mail: zsaeidi2007@gmail.com
Website:
Research Interests: Computational Learning Theory, Computer Networks, Data Mining, Data Structures and Algorithms
Biography
Zeinab Saeidi Masine: Received her master in computer sciences from Institute for Advanced Studies in Basic Sciences, in 2012. She is teaching at Islamic Azad University. Her research interest touched many different topics such as: Machine Learning, Data Mining, Social Networks.
DOI: https://doi.org/10.5815/ijitcs.2014.10.05, Pub. Date: 8 Sep. 2014
Regarding to increasing spread of internet in recent years, social networks attracted the attention of many people. A voting system is a set of rules that a community adopts to take collective decision. In this paper we study representative democracy voting and introduce an algorithm for finding a committee who are participated in voting rather than entire social network. In this model we use community detection techniques in order to obtain parties, and D’Hondt rule to clarifying proportion of each party in committee. We finally use analysis links webpages algorithms for finding important users in social network.
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