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Graph Theoretic Approaches for Analyzing Large-Scale Social Networks (Hardcover)
Loot Price: R6,361
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Graph Theoretic Approaches for Analyzing Large-Scale Social Networks (Hardcover)
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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. 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
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