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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining

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Cover of 'Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Intent Mining for the Good, Bad, and Ugly Use of Social Web: Concepts, Methods, and Challenges
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    Chapter 2 Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics
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    Chapter 3 Studying Fake News via Network Analysis: Detection and Mitigation
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    Chapter 4 Predictive Analysis on Twitter: Techniques and Applications
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    Chapter 5 Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models
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    Chapter 6 Testing Assessment of Group Collaborations in OSNs
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    Chapter 7 Dynamics of Overlapping Community Structures with Application to Expert Identification
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    Chapter 8 On Dynamic Topic Models for Mining Social Media
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    Chapter 9 Domain-Specific Use Cases for Knowledge-Enabled Social Media Analysis
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    Chapter 10 Privacy in Human Computation: User Awareness Study, Implications for Existing Platforms, Recommendations, and Research Directions
Attention for Chapter 10: Privacy in Human Computation: User Awareness Study, Implications for Existing Platforms, Recommendations, and Research Directions
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