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Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Copyright: © 2018 |Pages: 355
ISBN13: 9781522528142|ISBN10: 1522528148|EISBN13: 9781522528159
DOI: 10.4018/978-1-5225-2814-2
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MLA

Meghanathan, Natarajan, editor. Graph Theoretic Approaches for Analyzing Large-Scale Social Networks. IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2814-2

APA

Meghanathan, N. (Ed.). (2018). Graph Theoretic Approaches for Analyzing Large-Scale Social Networks. IGI Global. https://doi.org/10.4018/978-1-5225-2814-2

Chicago

Meghanathan, Natarajan, ed. Graph Theoretic Approaches for Analyzing Large-Scale Social Networks. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2814-2

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Wireless Technologies and Telecommunication (AWTT) Book Series
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Editorial Advisory Board
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Preface
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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