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Does Chaos Exist in Social Network Components? Role of Evolutionary Dynamics and Tool

Authors:
Hameed Al-Qaheri
Soumya Banerjee
Goldina Ghosh

Keywords: Evolutionary Dynamics; Genetic Algorithms; Chaos

Abstract:
Chaos and chaotic optimization is a global trend of optimization, customized for several engineering applications. This paper explores the behavior of chaos under social networking sites. Recalling chaotic dynamic characteristics emerging evolutionary network, the News Feed behavior of Facebook has been modeled for optimization. The research challenge is to address the emphasized presence of chaotic behavior under the social network paradigm. Subsequently, modeling could be collaborated with a class of evolutionary network, e.g., vaccination network. The outcome of investigating such non linear attribute could be of emerging relevance to demonstrate how far this will affect social network participants to be influenced over a specific social inference. In order to address the results obtained through evolutionary dynamics with clarity, the same problem has been tested through Genetic Algorithm components for different visualization and open access to this new research frontier using other evolutionary algorithms.

Pages: 175 to 182

Copyright: Copyright (c) IARIA, 2012

Publication date: June 24, 2012

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-202-8

Location: Venice, Italy

Dates: from June 24, 2012 to June 29, 2012