LEADER 03602nam 22006975 450 001 9910639880003321 005 20251113174511.0 010 $a3-031-17658-8 024 7 $a10.1007/978-3-031-17658-6 035 $a(MiAaPQ)EBC7167819 035 $a(Au-PeEL)EBL7167819 035 $a(CKB)25936416000041 035 $a(DE-He213)978-3-031-17658-6 035 $a(PPN)267808917 035 $a(EXLCZ)9925936416000041 100 $a20230101d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComplex Networks XIII $eProceedings of the 13th Conference on Complex Networks, CompleNet 2022 /$fedited by Diogo Pacheco, Andreia Sofia Teixeira, Hugo Barbosa, Ronaldo Menezes, Giuseppe Mangioni 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (128 pages) 225 1 $aSpringer Proceedings in Complexity,$x2213-8692 300 $aIncludes index. 311 08$aPrint version: Pacheco, Diogo Complex Networks XIII Cham : Springer International Publishing AG,c2023 9783031176579 327 $aTargeted Attacks on the World Air Transportation Network: Impact on its Regional Structure -- Measuring Equality and Hierarchical Mobility on Abstract Complex Networks -- Broadcast Graphs with Nodes of Limited Memory -- Investigating the Origins of Fractality Based on Two Novel Fractal Network Models -- A Data-Driven Approach to Cattle Epidemic Modelling under Uncertainty -- Building a Reliable, Dynamic and Temporal Synthetic Model of the World Trade Web -- Co-attention based Multi-contextual Fake News Detection -- Correlation Financial Networks of an Unstable Stock Market: Empirical Study -- Extracting Characteristic Areas Based on Topic Distribution over Proximity Tree. 330 $aThis book contains contributions presented at the 13th International Conference on Complex Networks (CompleNet), April 19?22, 2022. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines?from sociology, biology, physics, and computer science?who share a passion to better understand the interdependencies within and across systems. CompleNet is a venue to discuss ideas and findings about all types of networks, from biological to technological and to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate. 410 0$aSpringer Proceedings in Complexity,$x2213-8692 606 $aSystem theory 606 $aGraph theory 606 $aSocial sciences$xNetwork analysis 606 $aComputer science 606 $aArtificial intelligence$xData processing 606 $aComplex Systems 606 $aGraph Theory 606 $aNetwork Research 606 $aComputer Science 606 $aData Science 615 0$aSystem theory. 615 0$aGraph theory. 615 0$aSocial sciences$xNetwork analysis. 615 0$aComputer science. 615 0$aArtificial intelligence$xData processing. 615 14$aComplex Systems. 615 24$aGraph Theory. 615 24$aNetwork Research. 615 24$aComputer Science. 615 24$aData Science. 676 $a004.6 676 $a004.6 702 $aPacheco$b Diogo 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910639880003321 996 $aComplex networks XIII$93364717 997 $aUNINA