Modelling and Mining Networks - 19th International Workshop, WAW 2024, Warsaw, Poland, June 3-6, 2024, Proceedings

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. 

List of contents

.- 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.

Product details

• Assisted by: Megan Dewar (Editor), Bogumi¿ Kami¿ski (Editor), Bogumil Kaminski (Editor), Daniel Kaszy¿ski (Editor), Daniel Kaszynski (Editor), Daniel Kaszynski et al (Editor), ¿Ukasz Krai¿ski (Editor), Lukasz Krainski (Editor), Pawe¿ Pra¿at (Editor), Pawel Pralat (Editor), François Théberge (Editor), Ma¿gorzata Wrzosek (Editor), Malgorzata Wrzosek (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 17.07.2024
• EAN: 9783031592041
• ISBN: 978-3-0-3159204-1
• No. of pages: 185
• Dimensions: 155 mm x 10 mm x 235 mm
• Weight: 306 g
• Illustrations: X, 185 p. 41 illus., 31 illus. in color.
• Series: Lecture Notes in Computer Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT