19th International Workshop, WAW 2024, Warsaw, Poland, June 3–6, 2024, Proceedings Dewar, Megan. editor. edt http://id.loc.gov/vocabulary/relators/edt Kamiński, Bogumił. editor. edt http://id.loc.gov/vocabulary/relators/edt Kaszyński, Daniel. editor. edt http://id.loc.gov/vocabulary/relators/edt Kraiński, Łukasz. editor. edt http://id.loc.gov/vocabulary/relators/edt Prałat, Paweł. editor. edt http://id.loc.gov/vocabulary/relators/edt Théberge, François. editor. edt http://id.loc.gov/vocabulary/relators/edt Wrzosek, Małgorzata. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access X, 185 p. 41 illus., 31 illus. in color. online resource. 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. . -- 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. edited by Megan Dewar, Bogumił Kamiński, Daniel Kaszyński, Łukasz Kraiński, Paweł Prałat, François Théberge, Małgorzata Wrzosek. Computer science Data structures (Computer science) Information theory Application software Computer science Mathematics Discrete mathematics Theory of Computation Data Structures and Information Theory Computer and Information Systems Applications Discrete Mathematics in Computer Science QA75.5-76.95 9783031592058 https://doi.org/10.1007/978-3-031-59205-8 https://doi.org/10.1007/978-3-031-59205-8 240429 20251030112019.0 978-3-031-59205-8