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Social Networks: A Framework of Computational Intelligence

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Cover of 'Social Networks: A Framework of Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Detecting Community Structures in Networks Using a Linear-Programming Based Approach: a Review
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    Chapter 2 Personalization of Social Networks: Adaptive Semantic Layer Approach
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    Chapter 3 Social Network and Formal Concept Analysis
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    Chapter 4 Explaining Variation in State Involvement in Cyber Attacks: A Social Network Approach
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    Chapter 5 Moblog-Based Social Networks
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    Chapter 6 Uncertainty-Preserving Trust Prediction in Social Networks
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    Chapter 7 Impact of Social Network Structure on Social Welfare and Inequality
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    Chapter 8 Genetic Algorithms for Multi-Objective Community Detection in Complex Networks
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    Chapter 9 Computational Framework for Generating Visual Summaries of Topical Clusters in Twitter Streams
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    Chapter 10 Granularity of Personal Intelligence in Social Networks
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    Chapter 11 Social Network Dynamics: An Attention Economics Perspective
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    Chapter 12 A Framework to Investigate the Relationship Between Employee Embeddedness in Enterprise Social Networks and Knowledge Transfer
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    Chapter 13 A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm
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    Chapter 14 An Evaluation Fuzzy Model and Its Application for Knowledge-Based Social Network
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    Chapter 15 Process Drama Based Information Management for Assessment and Classification in Learning
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    Chapter 16 Social Network Computation for Life Cycle Analysis by Intelligence Perspective
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    Chapter 17 Analyzing Tweet Cluster Using Standard Fuzzy C Means Clustering
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    Chapter 18 The Global Spread of Islamism: An Agent-Based Computer Model
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    Chapter 19 Using Neural Network Model to Evaluate Impact of Economic Growth Rate and National Income Indices on Crude Birth Rate in Taiwan
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Mentioned by

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3 Wikipedia pages

Citations

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13 Dimensions

Readers on

mendeley
173 Mendeley
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Title
Social Networks: A Framework of Computational Intelligence
Published by
Springer International Publishing, December 2013
DOI 10.1007/978-3-319-02993-1
ISBNs
978-3-31-902992-4, 978-3-31-902993-1
Editors

Pedrycz, Witold, Chen, Shyi-Ming

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Ireland 1 <1%
Canada 1 <1%
Unknown 169 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 8%
Student > Master 10 6%
Researcher 6 3%
Student > Doctoral Student 3 2%
Professor 3 2%
Other 7 4%
Unknown 131 76%
Readers by discipline Count As %
Computer Science 23 13%
Social Sciences 5 3%
Engineering 3 2%
Business, Management and Accounting 2 1%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 6 3%
Unknown 132 76%