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Advances in Network Science

Overview of attention for book
Advances in Network Science
Springer International Publishing

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 16: Large Scale Graph Representations for Subgraph Census
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Citations

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Summary Dimensions citations
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Chapter title
Large Scale Graph Representations for Subgraph Census
Chapter number 16
Book title
Advances in Network Science
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-28361-6_16
Book ISBNs
978-3-31-928360-9, 978-3-31-928361-6
Authors

Pedro Paredes, Pedro Ribeiro

Editors

Adam Wierzbicki, Ulrik Brandes, Frank Schweitzer, Dino Pedreschi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 100%
Readers by discipline Count As %
Computer Science 2 67%
Biochemistry, Genetics and Molecular Biology 1 33%

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