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Computational Social Network Analysis

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Cover of 'Computational Social Network Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Methods for Virtual Social Networks Analysis
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    Chapter 2 Discovering Sets of Key Players in Social Networks
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    Chapter 3 Toward Self-Organizing Search Systems
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    Chapter 4 DISSECT: Data-Intensive Socially Similar Evolving Community Tracker
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    Chapter 5 Clustering of Blog Sites Using Collective Wisdom
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    Chapter 6 Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming
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    Chapter 7 Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features
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    Chapter 8 Network Evolution: Theory and Mechanisms
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    Chapter 9 Vmap-Layout, a Layout Algorithm for Drawing Scientograms
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    Chapter 10 Nature-Inspired Dissemination of Information in P2P Networks
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    Chapter 11 Analysis and Visualization of Relations in eLearning
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    Chapter 12 Interdisciplinary Matchmaking: Choosing Collaborators by Skill, Acquaintance and Trust
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    Chapter 13 Web Communities Defined by Web Page Content
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    Chapter 14 Extended Generalized Blockmodeling for Compound Communities and External Actors
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    Chapter 15 Analyzing Collaborations Through Content-Based Social Networks
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    Chapter 16 IA-Regional-Radio – Social Network for Radio Recommendation
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    Chapter 17 On the Use of Social Networks in Web Services: Application to the Discovery Stage
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    Chapter 18 Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa
Attention for Chapter 2: Discovering Sets of Key Players in Social Networks
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Readers on

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62 Mendeley
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Chapter title
Discovering Sets of Key Players in Social Networks
Chapter number 2
Book title
Computational Social Network Analysis
Published in
ADS, January 2010
DOI 10.1007/978-1-84882-229-0_2
Book ISBNs
978-1-84882-228-3, 978-1-84882-229-0
Authors

Daniel Ortiz-Arroyo, Ortiz-Arroyo, Daniel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Finland 2 3%
Brazil 1 2%
United Kingdom 1 2%
Ireland 1 2%
Unknown 54 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 31%
Researcher 8 13%
Student > Doctoral Student 7 11%
Student > Master 7 11%
Student > Postgraduate 3 5%
Other 8 13%
Unknown 10 16%
Readers by discipline Count As %
Computer Science 22 35%
Social Sciences 8 13%
Business, Management and Accounting 5 8%
Agricultural and Biological Sciences 3 5%
Psychology 2 3%
Other 5 8%
Unknown 17 27%