LEADER 05266nam 22007455 450 001 9910254582503321 005 20211201115048.0 010 $a3-319-55471-9 024 7 $a10.1007/978-3-319-55471-6 035 $a(CKB)3710000001307072 035 $a(DE-He213)978-3-319-55471-6 035 $a(MiAaPQ)EBC4853122 035 $a(PPN)201473291 035 $a(EXLCZ)993710000001307072 100 $a20170502d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a3rd International Winter School and Conference on Network Science$b[electronic resource] $eNetSci-X 2017 /$fedited by Erez Shmueli, Baruch Barzel, Rami Puzis 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (VI, 130 p. 32 illus., 17 illus. in color.) 225 1 $aSpringer Proceedings in Complexity,$x2213-8684 311 $a3-319-55470-0 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aChapter1. Node-Centric Detection of Overlapping Communities in Social Networks -- Chapter2. Community structures evaluation in complex networks: A descriptive approach -- Chapter3. Do Network Models Just Model Networks? On The Applicability of Network Oriented Modeling -- Chapter4. Visibility of nodes in network growth models -- Chapter5. Topology data analysis of critical transitions in financial networks -- Chapter6. Modeling and Analysis of Glass Ceiling and Power Inequality in Bi-populated Societies -- Chapter7. Elites in Social Networks: An Axiomatic Approach -- Chapter8. Ranking scientific papers on the basis of their citations growing trend -- Chapter9. Towards network economics: the problem of the network modus of value -- Chapter10. Open Questions in Multidimensional Multilevel Network Science. . 330 $aThis book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field. . 410 0$aSpringer Proceedings in Complexity,$x2213-8684 606 $aPhysics 606 $aComputer simulation 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aSociophysics 606 $aEconophysics 606 $aBioinformatics 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 615 0$aPhysics. 615 0$aComputer simulation. 615 0$aSocial sciences?Data processing. 615 0$aSocial sciences?Computer programs. 615 0$aSociophysics. 615 0$aEconophysics. 615 0$aBioinformatics. 615 14$aApplications of Graph Theory and Complex Networks. 615 24$aSimulation and Modeling. 615 24$aComputational Social Sciences. 615 24$aData-driven Science, Modeling and Theory Building. 615 24$aComputational Biology/Bioinformatics. 676 $a004.6 702 $aShmueli$b Erez$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBarzel$b Baruch$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPuzis$b Rami$f1980-$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254582503321 996 $a3rd International Winter School and Conference on Network Science$92155980 997 $aUNINA