04216nam a22006615i 4500 978-3-031-59205-8 DE-He213 20251030112019.0 cr nn 008mamaa 240429s2024 sz | s |||| 0|eng d 9783031592058 978-3-031-59205-8 10.1007/978-3-031-59205-8 doi QA75.5-76.95 UYA bicssc COM014000 bisacsh UYA thema Modelling and Mining Networks [electronic resource] : 19th International Workshop, WAW 2024, Warsaw, Poland, June 3–6, 2024, Proceedings / edited by Megan Dewar, Bogumił Kamiński, Daniel Kaszyński, Łukasz Kraiński, Paweł Prałat, François Théberge, Małgorzata Wrzosek. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 185 p. 41 illus., 31 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14671 -- 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. 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. . Computer science. 58552 Data structures (Computer science). 66708 Information theory. 57783 Application software. Computer science Mathematics. 64041 Discrete mathematics. Theory of Computation. 67552 Data Structures and Information Theory. 66709 Computer and Information Systems Applications. Discrete Mathematics in Computer Science. Dewar, Megan. editor. edt http://id.loc.gov/vocabulary/relators/edt 76029 Kamiński, Bogumił. editor. edt http://id.loc.gov/vocabulary/relators/edt 76030 Kaszyński, Daniel. editor. edt http://id.loc.gov/vocabulary/relators/edt 76031 Kraiński, Łukasz. editor. edt http://id.loc.gov/vocabulary/relators/edt 76032 Prałat, Paweł. editor. edt http://id.loc.gov/vocabulary/relators/edt 76033 Théberge, François. editor. edt http://id.loc.gov/vocabulary/relators/edt 76034 Wrzosek, Małgorzata. editor. edt http://id.loc.gov/vocabulary/relators/edt 76035 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031592041 Printed edition: 9783031592065 Lecture Notes in Computer Science, 1611-3349 ; 14671 https://doi.org/10.1007/978-3-031-59205-8 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 59505 59505