LEADER 05622nam 22007215 450 001 9910373957603321 005 20200705090942.0 010 $a3-030-38965-0 024 7 $a10.1007/978-3-030-38965-9 035 $a(CKB)4100000010118274 035 $a(DE-He213)978-3-030-38965-9 035 $a(MiAaPQ)EBC6026437 035 $a(PPN)242846807 035 $a(EXLCZ)994100000010118274 100 $a20200119d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science /$fedited by Naoki Masuda, Kwang-Il Goh, Tao Jia, Junichi Yamanoi, Hiroki Sayama 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 270 p. 81 illus., 70 illus. in color.) 225 1 $aSpringer Proceedings in Complexity,$x2213-8684 311 $a3-030-38964-2 320 $aIncludes bibliographical references. 327 $aPart1. Structure -- Chapter1. Latent space generative model for bipartite networks -- Chapter2. BiMLPA : Community Detection in Bipartite Networks by Multi-Label Propagation -- Chapter3. Connected graphs with a given degree sequence: E_cient sampling, correlations, community detection and robustness -- Chapter4. An Allometric Scaling for the Number of Representative Nodes in Social Networks -- Chapter5. NeXLink: Node Embedding Framework for Cross-Network Linkages across Social Networks -- Chapter6. Improved algorithm for neuronal ensemble inference by Monte Carlo method -- Chapter7. Testing for Network and Spatial Autocorrelation -- Part2. Dynamics -- Chapter8. Approximate Identification of the Optimal Epidemic Source in Complex Networks -- Chapter9. Maxwell's Demon: Controlling Entropy via Discrete Ricci Flow over Networks -- Chapter10. Two dimensional opinion dynamics of real opinion and official stance -- Chapter11. On the Fundamental Equation of User Dynamics and the Structure of Online Social Networks -- Chapter12. Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity -- Part3. -- Chapter13. Complex Networks Antifragility under Sustained Edge Attack-Repair Mechanisms -- Chapter14. How to collect private signals in information cascade : an empirical study -- Chapter15. Space geometry effect over the Internet as a physical-logical interdependent network -- Part4. -- Chapter16. The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection -- Chapter17. Effective Implementation of Energy Aware Polarization Diversity for IoT Networks Using Eigenvector Centrality -- Chapter18. Using network science to quantify economic disruptions in regional input-output networks. 330 $aThis volume constitutes the proceedings of NetSci-X 2020: the Sixth International School and Conference on Network Science, which was held in Tokyo, Japan, in January 2020. NetSci-X is the Network Science Society?s winter conference series that covers a wide variety of interdisciplinary topics on networks. Participants come from various fields, including (but not limited to): mathematics, physics, computer science, social sciences, management and marketing sciences, organization science, communication science, systems science, biology, ecology, neuroscience, medicine, as well as business. This volume consists of contributed papers that have been accepted to NetSc-X 2020 through a rigorous peer review process. Researchers, students, and professionals will gain first-hand information about today?s cutting-edge research frontier of network science. 410 0$aSpringer Proceedings in Complexity,$x2213-8684 606 $aStatistical physics 606 $aDynamical systems 606 $aSystem theory 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aComputer mathematics 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/M13090 606 $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000 606 $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X 615 0$aStatistical physics. 615 0$aDynamical systems. 615 0$aSystem theory. 615 0$aSocial sciences?Data processing. 615 0$aSocial sciences?Computer programs. 615 0$aComputer mathematics. 615 14$aComplex Systems. 615 24$aComplex Systems. 615 24$aComputational Social Sciences. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a004.6 702 $aMasuda$b Naoki$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGoh$b Kwang-Il$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJia$b Tao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYamanoi$b Junichi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSayama$b Hiroki$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373957603321 996 $aProceedings of NetSci-X 2020$91882354 997 $aUNINA