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

Häftad, Engelska, 2021

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Beskrivning

This volume constitutes the proceedings of NetSci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020.

Produktinformation

Utgivningsdatum:2021-01-20
Mått:155 x 235 x 16 mm
Vikt:435 g
Format:Häftad
Språk:Engelska
Serie:Springer Proceedings in Complexity
Antal sidor:270
Förlag:Springer Nature Switzerland AG
ISBN:9783030389673

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Innehållsförteckning

Part1. Structure.- Chapter1. Latent space generative model for bipartite networks.- Chapter2. BiMLPA : Community Detection in Bipartite Networks by Multi-Label Propagation.- Chapter3. Connected graphs with a given degree sequence: E_cient sampling, correlations, community detection and robustness.- Chapter4. An Allometric Scaling for the Number of Representative Nodes in Social Networks.- Chapter5. NeXLink: Node Embedding Framework for Cross-Network Linkages across Social Networks.- Chapter6. Improved algorithm for neuronal ensemble inference by Monte Carlo method.- Chapter7. Testing for Network and Spatial Autocorrelation.- Part2. Dynamics.- Chapter8. Approximate Identification of the Optimal Epidemic Source in Complex Networks.- Chapter9. Maxwell's Demon: Controlling Entropy via Discrete Ricci Flow over Networks.- Chapter10. Two dimensional opinion dynamics of real opinion and official stance.- Chapter11. On the Fundamental Equation of User Dynamics and the Structure of Online SocialNetworks.- Chapter12. Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity.- Part3. .- Chapter13. Complex Networks Antifragility under Sustained Edge Attack-Repair Mechanisms.- Chapter14. How to collect private signals in information cascade : an empirical study.- Chapter15. Space geometry effect over the Internet as a physical-logical interdependent network.- Part4. .- Chapter16. The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection.- Chapter17. Effective Implementation of Energy Aware Polarization Diversity for IoT Networks Using Eigenvector Centrality.- Chapter18. Using network science to quantify economic disruptions in regional input-output networks.