LEADER 01795oam 2200517zu 450 001 996206545803316 005 20240404191238.0 035 $a(CKB)111055184272268 035 $a(SSID)ssj0000395624 035 $a(PQKBManifestationID)12103197 035 $a(PQKBTitleCode)TC0000395624 035 $a(PQKBWorkID)10456851 035 $a(PQKB)11112247 035 $a(EXLCZ)99111055184272268 100 $a20160829d2002 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aProceedings of the 5th European Workshop on Low Temperature Electronics : WOLTE 5, June 19-21, 2002, Grenoble, France 210 31$a[Place of publication not identified]$cEDP Sciences$d2002 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a2-86883-606-2 606 $aCryoelectronics$vCongresses 606 $aSuperconductivity$vCongresses 606 $aPhysics$2HILCC 606 $aElectrical & Computer Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aPhysical Sciences & Mathematics$2HILCC 606 $aElectrical Engineering$2HILCC 606 $aPhysics - General$2HILCC 615 0$aCryoelectronics 615 0$aSuperconductivity 615 7$aPhysics 615 7$aElectrical & Computer Engineering 615 7$aEngineering & Applied Sciences 615 7$aPhysical Sciences & Mathematics 615 7$aElectrical Engineering 615 7$aPhysics - General 702 $aBalestra$b F 712 12$aEuropean Workshop on Low Temperature Electronics 801 0$bPQKB 906 $aPROCEEDING 912 $a996206545803316 996 $aProceedings of the 5th European Workshop on Low Temperature Electronics : WOLTE 5, June 19-21, 2002, Grenoble, France$92538028 997 $aUNISA LEADER 04784nam 22007815 450 001 9910558499903321 005 20251113182738.0 010 $a9783030757182$b(electronic bk.) 010 $z9783030757175 024 7 $a10.1007/978-3-030-75718-2 035 $a(MiAaPQ)EBC6944382 035 $a(Au-PeEL)EBL6944382 035 $a(CKB)21459952400041 035 $a(PPN)261522965 035 $a(OCoLC)1319209969 035 $a(DE-He213)978-3-030-75718-2 035 $a(EXLCZ)9921459952400041 100 $a20220331d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultilayer Networks: Analysis and Visualization $eIntroduction to muxViz with R /$fby Manlio De Domenico 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (xxxi, 105 pages) $cillustrations 225 1 $aComputer Science Series 311 08$aPrint version: De Domenico, Manlio Multilayer Networks: Analysis and Visualization Cham : Springer International Publishing AG,c2022 9783030757175 320 $aIncludes bibliographical references and index. 327 $aPart 1. Multilayer Network Science: Analysis and Visualization -- 1. Introduction -- 2. Multilayer Networks: Overview -- 3. Multilayer Analysis: Fundamentals and Micro-scale -- 4. Multilayer Versatility and Triads -- 5. Multilayer Organization: Meso-scale -- 6. Other Multilayer Analyses based on Dynamical Processes -- 7. Visualizing Multilayer Networks and Data -- Part 2. Appendices -- A. Installing and Using muxViz. 330 $aThe adoption of multilayer analysis techniques is rapidly expanding across all areas of knowledge, from social sciences (the first facing the complexity of such structures, decades ago) to computer science, from biology to engineering. However, until now, no book has dealt exclusively with the analysis and visualization of multilayer networks. Multilayer Networks: Analysis and Visualization provides a guided introduction to one of the most complete computational frameworks, named muxViz, with introductory information about the underlying theoretical aspects and a focus on the analytical side. Dozens of analytical scripts and examples to use the muxViz library in practice, by means of the Graphical User Interface or by means of the R scripting language, are provided. In addition to researchers in the field of network science, as well as practitioners interested in network visualization and analysis, this book will appeal to researchers without strong technical or computer science background who want to learn how to use muxViz software, such as researchers from humanities, social science and biology: audiences which are targeted by case studies included in the book. Other interdisciplinary audiences include computer science, physics, neuroscience, genetics, urban transport and engineering, digital humanities, social and computational social science. Readers will learn how to use, in a very practical way (i.e., without focusing on theoretical aspects), the algorithms developed by the community and implemented in the free and open-source software muxViz. The data used in the book is available on a dedicated (open and free) site. 410 0$aComputer Science Series 606 $aComputer networks 606 $aTelecommunication 606 $aBusiness information services 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aInformation visualization 606 $aSystem theory 606 $aComputer Communication Networks 606 $aCommunications Engineering, Networks 606 $aIT in Business 606 $aProbability and Statistics in Computer Science 606 $aData and Information Visualization 606 $aComplex Systems 615 0$aComputer networks. 615 0$aTelecommunication. 615 0$aBusiness information services. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aInformation visualization. 615 0$aSystem theory. 615 14$aComputer Communication Networks. 615 24$aCommunications Engineering, Networks. 615 24$aIT in Business. 615 24$aProbability and Statistics in Computer Science. 615 24$aData and Information Visualization. 615 24$aComplex Systems. 676 $a001.4226 676 $a004.6 700 $aDe Domenico$b M$g(Manlio),$f1984-$01266898 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910558499903321 996 $aMultilayer networks, analysis and visualization$92977873 997 $aUNINA