Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Author:   Natarajan Meghanathan
Publisher:   IGI Global
ISBN:  

9781522528142


Pages:   355
Publication Date:   30 July 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Graph Theoretic Approaches for Analyzing Large-Scale Social Networks


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Overview

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

Full Product Details

Author:   Natarajan Meghanathan
Publisher:   IGI Global
Imprint:   IGI Global
Dimensions:   Width: 21.60cm , Height: 2.20cm , Length: 27.90cm
Weight:   0.003kg
ISBN:  

9781522528142


ISBN 10:   1522528148
Pages:   355
Publication Date:   30 July 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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