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Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science

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Table of Contents

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    Book Overview
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    Chapter 1 Latent Space Generative Model for Bipartite Networks
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    Chapter 2 BiMLPA: Community Detection in Bipartite Networks by Multi-Label Propagation
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    Chapter 3 Connected Graphs with a Given Degree Sequence: Efficient Sampling, Correlations, Community Detection and Robustness
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    Chapter 4 An Allometric Scaling for the Number of Representative Nodes in Social Networks
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    Chapter 5 NeXLink: Node Embedding Framework for Cross-Network Linkages Across Social Networks
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    Chapter 6 Improved Algorithm for Neuronal Ensemble Inference by Monte Carlo Method
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    Chapter 7 Testing for Network and Spatial Autocorrelation
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    Chapter 8 Approximate Identification of the Optimal Epidemic Source in Complex Networks
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    Chapter 9 Maxwell’s Demon: Controlling Entropy via Discrete Ricci Flow over Networks
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    Chapter 10 Two Dimensional Opinion Dynamics of Real Opinion and Official Stance
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    Chapter 11 On the Fundamental Equation of User Dynamics and the Structure of Online Social Networks
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    Chapter 12 Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity
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    Chapter 13 Complex Networks Antifragility under Sustained Edge Attack-Repair Mechanisms
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    Chapter 14 How to Collect Private Signals in Information Cascade: An Empirical Study
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    Chapter 15 Space Geometry Effect over the Internet as a Physical-Logical Interdependent Network
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    Chapter 16 The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection
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    Chapter 17 Effective Implementation of Energy Aware Polarization Diversity for IoT Networks Using Eigenvector Centrality
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    Chapter 18 Using Network Science to Quantify Economic Disruptions in Regional Input-Output Networks
Attention for Chapter 3: Connected Graphs with a Given Degree Sequence: Efficient Sampling, Correlations, Community Detection and Robustness
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Chapter title
Connected Graphs with a Given Degree Sequence: Efficient Sampling, Correlations, Community Detection and Robustness
Chapter number 3
Book title
Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-38965-9_3
Book ISBNs
978-3-03-038964-2, 978-3-03-038965-9
Authors

John H. Ring, Jean-Gabriel Young, Laurent Hébert-Dufresne, Ring, John H., Young, Jean-Gabriel, Hébert-Dufresne, Laurent

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X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Physics and Astronomy 1 25%
Materials Science 1 25%
Unknown 1 25%