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From Security to Community Detection in Social Networking Platforms

Overview of attention for book
Cover of 'From Security to Community Detection in Social Networking Platforms'

Table of Contents

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    Book Overview
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    Chapter 1 Real-World Application of Ego-Network Analysis to Evaluate Environmental Management Structures
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    Chapter 2 An Evolutionary Approach for Detecting Communities in Social Networks
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    Chapter 3 On Detecting Multidimensional Communities
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    Chapter 4 Derivatives in Graph Space with Applications for Finding and Tracking Local Communities
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    Chapter 5 Graph Clustering Based on Attribute-Aware Graph Embedding
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    Chapter 6 On Counting Triangles Through Edge Sampling in Large Dynamic Graphs
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    Chapter 7 Generation and Corruption of Semi-Structured and Structured Data
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    Chapter 8 A Data Science Approach to Predict the Impact of Collateralization on Systemic Risk
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    Chapter 9 Mining Actionable Information from Security Forums: The Case of Malicious IP Addresses
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    Chapter 10 Temporal Methods to Detect Content-Based Anomalies in Social Media
Attention for Chapter 10: Temporal Methods to Detect Content-Based Anomalies in Social Media
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Summary
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Chapter title
Temporal Methods to Detect Content-Based Anomalies in Social Media
Chapter number 10
Book title
From Security to Community Detection in Social Networking Platforms
DOI 10.1007/978-3-030-11286-8_10
Book ISBNs
978-3-03-011285-1, 978-3-03-011286-8
Authors

Skryzalin, Jacek, Jr., Richard Field, Fisher, Andrew, Bauer, Travis

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Business, Management and Accounting 1 100%

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