LEADER 04493nam 22007335 450 001 9911007491103321 005 20250522130250.0 010 $a3-031-92898-9 024 7 $a10.1007/978-3-031-92898-7 035 $a(CKB)38891532300041 035 $a(DE-He213)978-3-031-92898-7 035 $a(MiAaPQ)EBC32127790 035 $a(Au-PeEL)EBL32127790 035 $a(EXLCZ)9938891532300041 100 $a20250522d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModelling and Mining Networks $e20th International Workshop, WAW 2025, Vilnius, Lithuania, June 30 ? July 3, 2025, Proceedings /$fedited by Mindaugas Bloznelis, Paulius Drungilas, Bogumi? Kami?ski, Pawe? Pra?at, Matas ?ileikis, François Théberge, Rimantas Vaicekauskas 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (X, 205 p. 51 illus., 42 illus. in color.) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15699 311 08$a3-031-92897-0 327 $a -- Linear Geometric Centralities. -- Analysis and predictability of centrality measures in competition networks. -- Modularity of Random Intersection Graphs. -- The size of the giant in inhomogeneous random graphs of preferential attachment type. -- k-connectivity threshold for superpositions of Bernoulli random graphs. -- Improving community detection via community association strength scores. -- PageRank under interpolation between undirected- and directed networks - a case study. -- Degrees in preferential attachment networks with an anomaly. -- The Artificial Benchmark for Community Detection with Outliers and Overlapping Communities (ABCD+o2). -- A Graph Network Approach to Disinformation Detection in Social Media. -- Computation of the Laplacian Spectral Barycentre Network in a Soules Basis. -- The Multilayer Artificial Benchmark for Community Detection (mABCD). -- Integrating Link Prediction and Isolation Forest for Backbone Extraction. 330 $aThis book constitutes the refereed proceedings of the 20th International Workshop on Modelling and Mining Networks, WAW 2025, held in Vilnius, Lithuania, during June 30?July 3, 2025. The 13 full papers presented in this book were carefully reviewed and selected from 20 submissions.The aim of the 20th Workshop on Modelling and Mining Networks was to further the understanding of networks that arise in theoretical as well as applied domains. The goal was also to stimulate the development of high performance and scalable algorithms that exploit these networks. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15699 606 $aComputer science 606 $aData structures (Computer science) 606 $aInformation theory 606 $aApplication software 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aTheory of Computation 606 $aData Structures and Information Theory 606 $aComputer and Information Systems Applications 606 $aDiscrete Mathematics in Computer Science 615 0$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 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. 676 $a004.0151 702 $aBloznelis$b Mindaugas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDrungilas$b Paulius$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKamin?ski$b Bogumi?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPra?at$b Pawe?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $a?ileikis$b Matas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aThe?berge$b Franc?ois$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVaicekauskas$b Rimantas$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007491103321 996 $aModelling and Mining Networks$94385431 997 $aUNINA