LEADER 04060nam 22007575 450 001 9910725101403321 005 20251113175016.0 010 $a9783031322969$b(electronic bk.) 010 $z9783031322952 024 7 $a10.1007/978-3-031-32296-9 035 $a(MiAaPQ)EBC30545056 035 $a(Au-PeEL)EBL30545056 035 $a(OCoLC)1379802738 035 $a(BIP)090872633 035 $a(PPN)270612173 035 $a(CKB)26707052100041 035 $a(DE-He213)978-3-031-32296-9 035 $a(EXLCZ)9926707052100041 100 $a20230427d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithms and Models for the Web Graph $e18th International Workshop, WAW 2023, Toronto, ON, Canada, May 23?26, 2023, Proceedings /$fedited by Megan Dewar, Pawe? Pra?at, Przemys?aw Szufel, François Théberge, Ma?gorzata Wrzosek 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (203 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13894 311 08$aPrint version: Dewar, Megan Algorithms and Models for the Web Graph Cham : Springer,c2023 9783031322952 320 $aIncludes bibliographical references and index. 327 $aCorrecting for Granularity Bias in Modularity-Based Community Detection Methods -- The emergence of a giant component in one-dimensional inhomogeneous networks with long-range effects -- Unsupervised Framework for Evaluating Structural Node Embeddings of Graphs -- Modularity Based Community Detection in Hypergraphs -- Establishing Herd Immunity is Hard Even in Simple Geometric Networks -- Multilayer hypergraph clustering using the aggregate similarity matrix -- The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis -- A Random Graph Model for Clustering Graphs -- Topological Analysis of Temporal Hypergraphs -- PageRank Nibble on the sparse directed stochastic block model -- A simple model of influence -- The Iterated Local Transitivity Model for Tournaments. 330 $aThis book constitutes the proceedings of the 18th International Workshop on Algorithms and Models for the Web Graph, WAW 2023, held in Toronto, Canada, in May 23?26, 2023. The 12 Papers presented in this volume were carefully reviewed and selected from 21 submissions. The aim of the workshop was understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13894 606 $aComputer science 606 $aData structures (Computer science) 606 $aInformation theory 606 $aApplication software 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aComputer networks 606 $aTheory of Computation 606 $aData Structures and Information Theory 606 $aComputer and Information Systems Applications 606 $aDiscrete Mathematics in Computer Science 606 $aComputer Communication Networks 615 0$aComputer science. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aApplication software. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 0$aComputer networks. 615 14$aTheory of Computation. 615 24$aData Structures and Information Theory. 615 24$aComputer and Information Systems Applications. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aComputer Communication Networks. 676 $a005.1 702 $aDewar$b Megan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910725101403321 996 $aAlgorithms and Models for the Web-Graph$9772606 997 $aUNINA