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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 Social Networks Analysis: Tools, Measures and Visualization
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    Chapter 2 Performance Evaluation of Social Network Using Data Mining Techniques
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    Chapter 3 Bio-inspired Clustering and Data Diffusion in Machine Social Networks
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    Chapter 4 Mining Geo-Referenced Community-Contributed Multimedia Data
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    Chapter 5 Correlation Mining for Web News Information Retrieval
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    Chapter 6 Mining Micro-blogs: Opportunities and Challenges
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    Chapter 7 Mining Buyer Behavior Patterns Based on Dynamic Group-Buying Network
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    Chapter 8 Reliable Online Social Network Data Collection
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    Chapter 9 Knowledge Mining from the Twitter Social Network: The Case of Barack Obama
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    Chapter 10 Mining and Visualizing Research Networks Using the Artefact-Actor-Network Approach
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    Chapter 11 Intelligent-Based Visual Pattern Clustering for Storage Layouts in Virtual Environments
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    Chapter 12 Extraction and Analysis of Facebook Friendship Relations
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    Chapter 13 Analysis of Human-Computer Interactions and Online Social Networking: A Framework
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    Chapter 14 Implementation of Social Network Analysis for Web Cache Content Mining Visualization
Attention for Chapter 14: Implementation of Social Network Analysis for Web Cache Content Mining Visualization
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Citations

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Chapter title
Implementation of Social Network Analysis for Web Cache Content Mining Visualization
Chapter number 14
Book title
Computational Social Networks
Published by
Springer London, June 2012
DOI 10.1007/978-1-4471-4054-2_14
Book ISBNs
978-1-4471-4053-5, 978-1-4471-4054-2
Authors

Sarina Sulaiman, Siti Mariyam Shamsuddin, Ajith Abraham

Editors

Ajith Abraham

View on publisher site
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 %
Professor 3 38%
Student > Bachelor 2 25%
Student > Master 2 25%
Researcher 1 13%
Readers by discipline Count As %
Computer Science 5 63%
Business, Management and Accounting 2 25%
Social Sciences 1 13%

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