Dewar / Kaminski / Kaminski Modelling and Mining Networks

19th International Workshop, WAW 2024, Warsaw, Poland, June 3–6, 2024, Proceedings
Erscheinungsjahr 2024
ISBN: 978-3-031-59205-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 14671, 185 Seiten, eBook

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the 19th International Workshop on Modelling and Mining Networks, WAW 2024, held in Warsaw, Poland, during June 3–6, 2024.The 12 full papers presented in this book were carefully reviewed and selected from 19 submissions. The aim of this workshop was to further the understanding of networks that arise in theoretical as well as applied domains. The goal was also to stimulate the development of high-performance and scalable algorithms that exploit these networks.

Zielgruppe

Research

Autoren/Hrsg.

Dewar, Megan

Kaminski, Bogumil

Kaszynski, Daniel

Krainski, Lukasz

Pralat, Pawel

Théberge, François

Wrzosek, Malgorzata

Inhaltsverzeichnis

.- Subgraph Counts in Random Clustering Graphs.- Self similarity of Communities of the ABCD Model.- A simple model of influence Details and variants of dynamics.- Impact of Market Design and Trading Network Structure on Market Efficiency.- Network Embedding Exploration Tool (NEExT).- Efficient Computation of k Edge Connected Components: An Empirical Analysis.- The directed Age dependent Random Connection Model with arc reciprocity.- How to cool a graph.- Distributed averaging for accuracy prediction in networked systems.- Towards Graph Clustering for Distributed Computing Environments.- Hypergraph Repository A Community driven and Interactive Hypernetwork Data Collection.- Clique Counts for Network Similarity.