Graph Theoretic Approaches for Analyzing Large-Scale Social Networks (Hardcover)

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. The many academic areas covered in this publication include, but are not limited to: Content Specific Modeling Distributed Memory Graph Mining Influence Maximization Information Spread Control Link Prediction Probabilistic Exploration

General

Imprint:	IGI Global
Country of origin:	United States
Release date:	July 2017
Authors:	Natarajan Meghanathan
Dimensions:	225 x 290 x 29mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	355
ISBN-13:	978-1-5225-2814-2
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Internet > General Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society Promotions
LSN:	1-5225-2814-8
Barcode:	9781522528142

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