LEADER 04061nam 22006135 450 001 9910337872203321 005 20251230061658.0 010 $a3-030-14683-9 024 7 $a10.1007/978-3-030-14683-2 035 $a(CKB)4100000008160613 035 $a(MiAaPQ)EBC5776051 035 $a(DE-He213)978-3-030-14683-2 035 $a(PPN)236523902 035 $a(EXLCZ)994100000008160613 100 $a20190513d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamics On and Of Complex Networks III $eMachine Learning and Statistical Physics Approaches /$fedited by Fakhteh Ghanbarnejad, Rishiraj Saha Roy, Fariba Karimi, Jean-Charles Delvenne, Bivas Mitra 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (225 pages) 225 1 $aSpringer Proceedings in Complexity,$x2213-8692 311 08$a3-030-14682-0 327 $aPart1. Network Structure -- Chapter1. An Empirical Study of the Effect of Noise Models on Centrality Metrics -- Chapter2. Emergence and Evolution of Hierarchical Structure in Complex Systems -- Chapter3. Evaluation of Cascading Infrastructure Failures and Optimal Recovery from a Network Science Perspective -- Part2. Network Dynamics -- Chapter4. Automatic Discovery of Families of Network Generative Processes -- Chapter5. Modeling User Dynamics in Collaboration Websites -- Chapter6. The Problem of Interaction Prediction in Link Streams -- Chapter7. The Network Source Location Problem in the Context of Foodborne Disease Outbreaks -- Part3. Theoretical Models and applications -- Chapter8. Network Representation Learning using Local Sharing and Distributed Graph Factorization (LSDGF) -- Chapter9. The Anatomy of Reddit: An Overview of Academic Research -- Chapter10. Learning Information Dynamics in Social Media: A Temporal Point Process Perspective. . 330 $aThis book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science. 410 0$aSpringer Proceedings in Complexity,$x2213-8692 606 $aSystem theory 606 $aDynamics 606 $aNonlinear theories 606 $aSociology$xMethodology 606 $aComplex Systems 606 $aApplied Dynamical Systems 606 $aSociological Methods 615 0$aSystem theory. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aSociology$xMethodology. 615 14$aComplex Systems. 615 24$aApplied Dynamical Systems. 615 24$aSociological Methods. 676 $a005.8 676 $a004.6 702 $aGhanbarnejad$b Fakhteh$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSaha Roy$b Rishiraj$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKarimi$b Fariba$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDelvenne$b Jean-Charles$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMitra$b Bivas$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337872203321 996 $aDynamics On and Of Complex Networks III$92529924 997 $aUNINA