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Dynamics On and Of Complex Networks, Volume 2

Overview of attention for book
Cover of 'Dynamics On and Of Complex Networks, Volume 2'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamics in online social networks
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    Chapter 2 An Empirical Validation of Growth Models for Complex Networks
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    Chapter 3 On the Routability of the Internet
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    Chapter 4 The Evolution of Layered Protocol Stacks Leads to an Hourglass-Shaped Architecture
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    Chapter 5 Opinion Dynamics on Coevolving Networks
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    Chapter 6 A Template for Parallelizing the Louvain Method for Modularity Maximization
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    Chapter 7 Multi-scale Modularity and Dynamics in Complex Networks
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    Chapter 8 Evaluating the Performance of Clustering Algorithms in Networks
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    Chapter 9 Communities in Evolving Networks: Definitions, Detection, and Analysis Techniques
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    Chapter 10 Clustering Hypergraphs for Discovery of Overlapping Communities in Folksonomies
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    Chapter 11 The Stability of a Graph Partition: A Dynamics-Based Framework for Community Detection
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    Chapter 12 Algorithms for Finding Motifs in Large Labeled Networks
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    Chapter 13 A Dynamical Network View of Lyon’s Vélo’v Shared Bicycle System
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    Chapter 14 Generalized Voter-Like Models on Heterogeneous Networks
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    Chapter 15 Epidemics on a Stochastic Model of Temporal Network
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    Chapter 16 Network-Based Information Filtering Algorithms: Ranking and Recommendation
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13 X users

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82 Mendeley
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Title
Dynamics On and Of Complex Networks, Volume 2
Published by
Springer New York, June 2013
DOI 10.1007/978-1-4614-6729-8
ISBNs
978-1-4614-6728-1, 978-1-4614-6729-8
Editors

Mukherjee, Animesh, Choudhury, Monojit, Peruani, Fernando, Ganguly, Niloy, Mitra, Bivas

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Student > Doctoral Student 7 9%
Student > Master 7 9%
Researcher 6 7%
Student > Bachelor 5 6%
Other 3 4%
Unknown 35 43%
Readers by discipline Count As %
Computer Science 20 24%
Engineering 6 7%
Mathematics 4 5%
Physics and Astronomy 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 7 9%
Unknown 38 46%

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