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Practical Social Network Analysis with Python

Overview of attention for book
Cover of 'Practical Social Network Analysis with Python'

Table of Contents

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    Book Overview
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    Chapter 1 Basics of Graph Theory
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    Chapter 2 Graph Structure of the Web
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    Chapter 3 Random Graph Models
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    Chapter 4 Small World Phenomena
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    Chapter 5 Graph Structure of Facebook
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    Chapter 6 Peer-To-Peer Networks
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    Chapter 7 Signed Networks
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    Chapter 8 Cascading in Social Networks
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    Chapter 9 Influence Maximisation
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    Chapter 10 Outbreak Detection
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    Chapter 11 Power Law
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    Chapter 12 Kronecker Graphs
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    Chapter 13 Link Analysis
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    Chapter 14 Community Detection
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    Chapter 15 Representation Learning on Graphs
Attention for Chapter 9: Influence Maximisation
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