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Advances in Network Science

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Cover of 'Advances in Network Science'

Table of Contents

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    Book Overview
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    Chapter 1 Quad Census Computation: Simple, Efficient, and Orbit-Aware
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    Chapter 2 Posting Topics \(\ne \) Reading Topics: On Discovering Posting and Reading Topics in Social Media
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    Chapter 3 Going Beyond GDP to Nowcast Well-Being Using Retail Market Data
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    Chapter 4 To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems
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    Chapter 5 Modelling Trend Progression Through an Extension of the Polya Urn Process
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    Chapter 6 Exploiting Content Quality and Question Difficulty in CQA Reputation Systems
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    Chapter 7 Analysis of Co-authorship Ego Networks
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    Chapter 8 Studying the Role of Diversity in Open Collaboration Network: Experiments on Wikipedia
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    Chapter 9 On the Evaluation Potential of Quality Functions in Community Detection for Different Contexts
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    Chapter 10 Predicting User Participation in Social Media
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    Chapter 11 Computing Information Integration in Brain Networks
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    Chapter 12 Embracing n-ary Relations in Network Science
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    Chapter 13 Studying Successful Public Plazas in the City of Murcia (Spain) Using a Ranking Nodes Algorithm and Foursquare Data
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    Chapter 14 A Comparison of Fundamental Network Formation Principles Between Offline and Online Friends on Twitter
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    Chapter 15 Social Ties as Predictors of Economic Development
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    Chapter 16 Large Scale Graph Representations for Subgraph Census
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    Chapter 17 An Exploration of Fetish Social Networks and Communities
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    Chapter 18 Synergy Landscapes: A Multilayer Network for Collaboration in Biological Research
Attention for Chapter 11: Computing Information Integration in Brain Networks
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Chapter title
Computing Information Integration in Brain Networks
Chapter number 11
Book title
Advances in Network Science
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-28361-6_11
Book ISBNs
978-3-31-928360-9, 978-3-31-928361-6

Xerxes D. Arsiwalla, Paul Verschure


Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 10%
Spain 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Professor 1 10%
Other 1 10%
Student > Ph. D. Student 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Computer Science 2 20%
Psychology 2 20%
Agricultural and Biological Sciences 1 10%
Business, Management and Accounting 1 10%
Unknown 4 40%