Network Science: 7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings

Author:   Pedro Ribeiro ,  Fernando Silva ,  José Fernando Mendes ,  Rosário Laureano
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   13197
ISBN:  

9783030972394


Pages:   185
Publication Date:   25 February 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Network Science: 7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings


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Author:   Pedro Ribeiro ,  Fernando Silva ,  José Fernando Mendes ,  Rosário Laureano
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Volume:   13197
Weight:   0.314kg
ISBN:  

9783030972394


ISBN 10:   3030972399
Pages:   185
Publication Date:   25 February 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Using localized attacks with probabilistic failures to model seismic events over physical-logical interdependent network.- A Historical Perspective On International Treaties Via Hypernetwork Science.- On the Number of Edges of the Frechet Mean and Median Graphs.- Core but not Peripheral Online Social Ties is a Protective Factor against Depression: Evidence from a Nationally Representative Sample of Young Adults.- Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification.- Modularity-based Backbone Extraction in Weighted Complex Networks.- Vessel destination prediction using a graph-based machine learning model.- Hunting for Dual-target Set on a Class of Hierarchical Networks.- Generalized Linear Models Network Autoregression .- Constructing Provably Robust Scale-free Networks.- Functional characterization of transcriptional regulatory networks of yeast species.- Competitive Information Spreading on Modular Networks.- HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs.

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