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Computational Social Networks

Overview of attention for book
Cover of 'Computational Social Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Social Networks: Tools, Perspectives, and Challenges
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    Chapter 2 Hierarchical Graphical Models for Social and Behavioral Analysis and Forecasting
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    Chapter 3 Social Network Analysis Techniques for Social-Oriented Mobile Communication Networks
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    Chapter 4 Detection and Interpretation of Communities in Complex Networks: Practical Methods and Application
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    Chapter 5 Metrics and Models for Social Networks
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    Chapter 6 Structural Decompositions of Complex Networks
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    Chapter 7 Enhancing Online Communities with Cycle-Sharing for Social Networks
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    Chapter 8 Centrality Robustness and Link Prediction in Complex Social Networks
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    Chapter 9 Social Networking Tools for Knowledge-Based Action Groups
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    Chapter 10 Dynamic Web Prediction Using Asynchronous Mouse Activity
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    Chapter 11 PPMN: A City Wide Reliable Public Wireless Mesh Network
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    Chapter 12 Applications of Social Networks in Peer-to-Peer Networks
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    Chapter 13 Intelligent Social Network of Devices
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    Chapter 14 Social Network-Based Media Sharing in the Ubiquitous Environment: Technologies and Applications
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    Chapter 15 Customer Interaction Management Goes Social: Getting Business Processes Plugged in Social Networks
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    Chapter 16 Real Emotions for Simulated Social Networks
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    Chapter 17 Social Networks for Learning: Breaking Through the Walled Garden of the VLE
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    Chapter 18 Social Networks and Recommender Systems: A World of Current and Future Synergies
Attention for Chapter 6: Structural Decompositions of Complex Networks
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Citations

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Summary Dimensions citations
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Chapter title
Structural Decompositions of Complex Networks
Chapter number 6
Book title
Computational Social Networks
Published by
Springer, London, January 2012
DOI 10.1007/978-1-4471-4048-1_6
Book ISBNs
978-1-4471-4047-4, 978-1-4471-4048-1
Authors

Rong Yang, Leyla Zhuhadar, Olfa Nasraoui

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Professor 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Economics, Econometrics and Finance 1 33%
Unknown 1 33%

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