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Social Informatics

Overview of attention for book
Cover of 'Social Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Case-Based Team Recommendation
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    Chapter 2 Toward a Behavioral Approach to Privacy for Online Social Networks
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    Chapter 3 A Meta Model for Team Recommendations
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    Chapter 4 Node Degree Distribution in Affiliation Graphs for Social Network Density Modeling
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    Chapter 5 Achieving Optimal Privacy in Trust-Aware Social Recommender Systems
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    Chapter 6 First-Use Analysis of Communication in a Social Network
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    Chapter 7 Label-dependent Feature Extraction in Social Networks for Node Classification
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    Chapter 8 Computing α -Efficient Cost Allocations for Unbalanced Games
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    Chapter 9 Recommendation Boosted Query Propagation in the Social Network
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    Chapter 10 Social Manipulation of Online Recommender Systems
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    Chapter 11 Bicriteria Models for Fair and Efficient Resource Allocation
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    Chapter 12 Dynamic Context-Sensitive PageRank for Expertise Mining
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    Chapter 13 Trust-Based Peer Assessment for Virtual Learning Systems
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    Chapter 14 Exponential Ranking: Taking into Account Negative Links
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    Chapter 15 Social Email: A Framework and Application for More Socially-Aware Communications
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    Chapter 16 Measuring Message Propagation and Social Influence on Twitter.com
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    Chapter 17 SocialWiki: Bring Order to Wiki Systems with Social Context
Attention for Chapter 13: Trust-Based Peer Assessment for Virtual Learning Systems
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Citations

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Chapter title
Trust-Based Peer Assessment for Virtual Learning Systems
Chapter number 13
Book title
Social Informatics
Published in
ADS, October 2010
DOI 10.1007/978-3-642-16567-2_13
Book ISBNs
978-3-64-216566-5, 978-3-64-216567-2
Authors

Milorad Tosic, Valentina Nejkovic

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Ireland 1 4%
Austria 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Postgraduate 4 15%
Student > Ph. D. Student 4 15%
Researcher 3 11%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 5 19%
Readers by discipline Count As %
Computer Science 10 37%
Social Sciences 3 11%
Engineering 2 7%
Psychology 2 7%
Economics, Econometrics and Finance 2 7%
Other 3 11%
Unknown 5 19%