04028nam a22006135i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001700172072001600189072002300205072001500228245029200243250001800535264006900553300006300622336002600685337002600711338003600737347002400773490005900797505073600856520052501592650002902117650004702146650003102193650002602224650004202250650002602292650003402318650005102352650005102403650004602454700008202500700009002582700008902672700008902761700008502850700009202935700009003027710003403117773002603151776003603177776003603213830005903249856004603308912001403354912001503368912001403383999001703397978-3-031-59205-8DE-He21320251030112019.0cr nn 008mamaa240429s2024 sz | s |||| 0|eng d a97830315920589978-3-031-59205-87 a10.1007/978-3-031-59205-82doi 4aQA75.5-76.95 7aUYA2bicssc 7aCOM0140002bisacsh 7aUYA2thema10aModelling and Mining Networksh[electronic resource] :b19th International Workshop, WAW 2024, Warsaw, Poland, June 3–6, 2024, Proceedings /cedited by Megan Dewar, Bogumił Kamiński, Daniel Kaszyński, Łukasz Kraiński, Paweł Prałat, François Théberge, Małgorzata Wrzosek. a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024. aX, 185 p. 41 illus., 31 illus. in color.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aLecture Notes in Computer Science,x1611-3349 ;v146710 a -- 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. aThis 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. . 0aComputer science.958552 0aData structures (Computer science).966708 0aInformation theory.957783 0aApplication software. 0aComputer sciencexMathematics.964041 0aDiscrete mathematics.14aTheory of Computation.96755224aData Structures and Information Theory.96670924aComputer and Information Systems Applications.24aDiscrete Mathematics in Computer Science.1 aDewar, Megan.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9760291 aKamiński, Bogumił.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9760301 aKaszyński, Daniel.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9760311 aKraiński, Łukasz.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9760321 aPrałat, Paweł.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9760331 aThéberge, François.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9760341 aWrzosek, Małgorzata.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9760352 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303159204108iPrinted edition:z9783031592065 0aLecture Notes in Computer Science,x1611-3349 ;v1467140uhttps://doi.org/10.1007/978-3-031-59205-8 aZDB-2-SCS aZDB-2-SXCS aZDB-2-LNC c59505d59505