Ribeiro / Silva / Mendes Network Science

7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings
1. Auflage 2022
ISBN: 978-3-030-97240-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 13197, 185 Seiten, eBook

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 7 th International Conference and School of Network Science, NetSci-X 2022, held in Porto, Portugal, in February 2021. The 13 full papers were carefully reviewed and selected from 19 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases.

Zielgruppe

Research

Autoren/Hrsg.

Ribeiro, Pedro

Silva, Fernando

Mendes, José Fernando

Laureano, Rosário

Inhaltsverzeichnis

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.