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Trends in Social Network Analysis

Overview of attention for book
Cover of 'Trends in Social Network Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 The Perceived Assortativity of Social Networks: Methodological Problems and Solutions
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    Chapter 2 A Parametric Study to Construct Time-Aware Social Profiles
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    Chapter 3 Sarcasm Analysis on Twitter Data Using Machine Learning Approaches
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    Chapter 4 The DEvOTION Algorithm for Delurking in Social Networks
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    Chapter 5 Social Engineering Threat Assessment Using a Multi-Layered Graph-Based Model
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    Chapter 6 Through the Grapevine: A Comparison of News in Microblogs and Traditional Media
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    Chapter 7 Prediction of Elevated Activity in Online Social Media Using Aggregated and Individualized Models
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    Chapter 8 Unsupervised Link Prediction Based on Time Frames in Weighted–Directed Citation Networks
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    Chapter 9 An Approach to Maximize the Influence Spread in the Social Networks
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    Chapter 10 Energy Efficiency Analysis of the Very Fast Decision Tree Algorithm
Attention for Chapter 3: Sarcasm Analysis on Twitter Data Using Machine Learning Approaches
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