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Twitter sentiment analysis: how to hedge your bets In the stock markets

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Cover of 'Twitter sentiment analysis: how to hedge your bets In the stock markets'

Table of Contents

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    Book Overview
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    Chapter 1 A Randomized Approach for Structural and Message Based Private Friend Recommendation in Online Social Networks
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    Chapter 2 Context Based Semantic Relations in Tweets
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    Chapter 3 Fast Exact and Approximate Computation of Betweenness Centrality in Social Networks
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    Chapter 4 An Agent-Based Modeling Framework for Social Network Simulation
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    Chapter 5 Early Stage Conversation Catalysts on Entertainment-Based Web Forums
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    Chapter 6 Predicting Users Behaviours in Distributed Social Networks Using Community Analysis
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    Chapter 7 What Should We Protect? Defining Differential Privacy for Social Network Analysis
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    Chapter 8 Complex Network Analysis of Research Funding: A Case Study of NSF Grants
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    Chapter 9 A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks
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    Chapter 10 @Rank: Personalized Centrality Measure for Email Communication Networks
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    Chapter 11 Twitter Sentiment Analysis: How to Hedge Your Bets in the Stock Markets
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    Chapter 12 The Impact of Measurement Time on Subgroup Detection in Online Communities
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    Chapter 13 Spatial and Temporal Evaluation of Network-Based Analysis of Human Mobility
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    Chapter 14 An Ant Based Particle Swarm Optimization Algorithm for Maximum Clique Problem in Social Networks
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    Chapter 15 XEngine: An XML Search Engine for Social Groups
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    Chapter 16 Size, Diversity and Components in the Network Around an Entrepreneur: Shaped by Culture and Shaping Embeddedness of Firm Relations
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    Chapter 17 Content Mining of Microblogs
Attention for Chapter 6: Predicting Users Behaviours in Distributed Social Networks Using Community Analysis
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Chapter title
Predicting Users Behaviours in Distributed Social Networks Using Community Analysis
Chapter number 6
Book title
State of the Art Applications of Social Network Analysis
Published by
Springer, Cham, January 2014
DOI 10.1007/978-3-319-05912-9_6
Book ISBNs
978-3-31-905911-2, 978-3-31-905912-9
Authors

Blaise Ngonmang, Emmanuel Viennet, Maurice Tchuente

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Ph. D. Student 2 25%
Researcher 2 25%
Student > Doctoral Student 1 13%
Professor > Associate Professor 1 13%
Other 0 0%
Readers by discipline Count As %
Computer Science 4 50%
Agricultural and Biological Sciences 1 13%
Social Sciences 1 13%
Engineering 1 13%
Unknown 1 13%