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Modelling and Mining Networks: Lecture Notes in Computer Science, cartea 14671

Editat de Megan Dewar, Bogumi¿ Kami¿ski, Daniel Kaszy¿ski, ¿Ukasz Krai¿ski, Pawe¿ Pra¿at, François Théberge, Ma¿gorzata Wrzosek
en Limba Engleză Paperback – 3 mai 2024
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. 
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Specificații

ISBN-13: 9783031592041
ISBN-10: 3031592042
Pagini: 196
Ilustrații: X, 185 p. 41 illus., 31 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

.- 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.