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Computational Social Network Analysis

Overview of attention for book
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 6: Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming
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Chapter title
Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming
Chapter number 6
Book title
Computational Social Network Analysis
Published in
ADS, January 2010
DOI 10.1007/978-1-84882-229-0_6
Book ISBNs
978-1-84882-228-3, 978-1-84882-229-0
Authors

Nada Lavrač, Miha Grčar, Blaž Fortuna, Paola Velardi, Lavrač, Nada, Grčar, Miha, Fortuna, Blaž, Velardi, Paola

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 9%
Virgin Islands, U.S. 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Student > Master 2 18%
Professor > Associate Professor 2 18%
Student > Ph. D. Student 2 18%
Librarian 1 9%
Other 2 18%
Readers by discipline Count As %
Social Sciences 5 45%
Computer Science 4 36%
Environmental Science 2 18%

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