Graph Theoretic Approaches for Analyzing Large-Scale Social Networks eBook

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Social network analysis has created novel opportunities within the field of data science. The complexity of these networks requires new techniques to optimize the extraction of useful information. Graph Theoretic Approaches for Analyzing Large-Scale Social Networks is a pivotal reference source for the latest academic research on emerging algorithms and methods for the analysis of social networks. Highlighting a range of pertinent topics such as influence maximization, probabilistic exploration, and distributed memory, this book is ideally designed for academics, graduate students, professionals, and practitioners actively involved in the field of data science.

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Graph Theoretic Approaches for Analyzing Large-Scale Social Networks is written by Natarajan Meghanathan and published by Information Science Reference. The Digital and eTextbook ISBNs for Graph Theoretic Approaches for Analyzing Large-Scale Social Networks are 9781522528166, 1522528164 and the print ISBNs are 9781522528142, 1522528148. Additional ISBNs for this eTextbook include 9781522528159.