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From Sociology to Computing in Social Networks

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Cover of 'From Sociology to Computing in Social Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Social Networks: A Powerful Model for Serving a Wide Range of Domains
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    Chapter 2 Employing Social Network Construction and Analysis in Web Structure Optimization
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    Chapter 3 Mining Heterogeneous Social Networks for Egocentric Information Abstraction
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    Chapter 4 PROG: A Complementary Model to the Social Networks for Mining Forums
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    Chapter 5 Socio-contextual Network Mining for User Assistance in Web-based Knowledge Gathering Tasks
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    Chapter 6 Integrating Entropy and Closed Frequent Pattern Mining for Social Network Modelling and Analysis
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    Chapter 7 Visualisation of the Dynamics for Longitudinal Analysis of Computer-mediated Social Networks-concept and Exemplary Cases
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    Chapter 8 EWAS: Modeling Application for Early Detection of Terrorist Threats
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    Chapter 9 Complex Dynamics in Information Sharing Networks
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    Chapter 10 Harnessing Wisdom of the Crowds Dynamics for Time-dependent Reputation and Ranking
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    Chapter 11 Detecting Communities in Social Networks Using Local Information
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    Chapter 12 Why Do Diffusion Data Not Fit the Logistic Model? A Note on Network Discreteness, Heterogeneity and Anisotropy
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    Chapter 13 Interlocking Communication
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    Chapter 14 The Structural Underpinnings of Policy Learning: A Classroom Policy Simulation
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    Chapter 15 A Journey to the Core of the Blogosphere
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    Chapter 16 Social Physics of the Blogosphere
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    Chapter 17 Twitmographics: Learning the Emergent Properties of the Twitter Community
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    Chapter 18 Dissecting Twitter: A Review on Current Microblogging Research and Lessons from Related Fields
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    Chapter 19 Unleash the CSS-Factor
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    Chapter 20 Extending SQL to Support Privacy Policies
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    Chapter 21 nCompass Service Oriented Architecture for Tacit Collaboration Services
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    Chapter 22 SOA Security Aspects in Web-based Architectural Design
Attention for Chapter 11: Detecting Communities in Social Networks Using Local Information
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Citations

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29 Mendeley
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Chapter title
Detecting Communities in Social Networks Using Local Information
Chapter number 11
Book title
From Sociology to Computing in Social Networks
Published in
ADS, January 2010
DOI 10.1007/978-3-7091-0294-7_11
Book ISBNs
978-3-70-910293-0, 978-3-70-910294-7
Authors

Jiyang Chen, Osmar R. Zaïane, Randy Goebel, Chen, Jiyang, Zaïane, Osmar R., Goebel, Randy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Virgin Islands, U.S. 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Student > Master 6 21%
Researcher 4 14%
Professor > Associate Professor 4 14%
Lecturer 2 7%
Other 4 14%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 19 66%
Engineering 4 14%
Environmental Science 2 7%
Social Sciences 1 3%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 2 7%