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001433073 019__ $$a1228845388$$a1233070058$$a1238201842$$a1241066685$$a1249943705
001433073 020__ $$a9783030653477$$q(electronic bk.)
001433073 020__ $$a3030653471$$q(electronic bk.)
001433073 020__ $$z9783030653460$$q(print)
001433073 0247_ $$a10.1007/978-3-030-65347-7$$2doi
001433073 035__ $$aSP(OCoLC)1228043974
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001433073 049__ $$aISEA
001433073 050_4 $$aTK5105.5$$b.I58 2020eb
001433073 08204 $$a004.6$$223
001433073 1112_ $$aInternational Conference on Complex Networks and Their Applications$$n(9th :$$d2020 :$$cOnline)
001433073 24510 $$aComplex networks and their applications IX.$$nVolume 1 :$$bproceedings of the ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020 /$$cRosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo, editors.
001433073 2463_ $$aCOMPLEX NETWORKS 2020
001433073 260__ $$aCham :$$bSpringer,$$c2021.
001433073 300__ $$a1 online resource (702 pages)
001433073 336__ $$atext$$btxt$$2rdacontent
001433073 337__ $$acomputer$$bc$$2rdamedia
001433073 338__ $$aonline resource$$bcr$$2rdacarrier
001433073 347__ $$atext file
001433073 347__ $$bPDF
001433073 4901_ $$aStudies in Computational Intelligence ;$$vv. 943
001433073 500__ $$a1 Introduction.
001433073 500__ $$aIncludes author index.
001433073 5050_ $$aIntro -- Preface -- Organization and Committees -- General Chairs -- Advisory Board -- Program Chairs -- Satellite Chairs -- Lightning Chairs -- Poster Chairs -- Publicity Chairs -- Tutorial Chairs -- Sponsor Chairs -- Local Committee Chair -- Local Committee -- Publication Chair -- Web Chair -- Program Committee -- Contents -- Community Structure -- A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes -- 1 Introduction: Previous Work and Motivation -- 2 A Least Squares Criterion -- 3 Setting of Experiments for Validation and Comparison of SEFNAC Algorithm
001433073 5058_ $$a3.1 Algorithms Under Comparison -- 3.2 Datasets -- 3.3 Evaluation Criteria -- 4 Results of Computational Experiments -- 4.1 Parameters of the Generated Datasets -- 4.2 Validity of SEFNAC -- 4.3 Comparing SEFNAC and Competition -- 5 Conclusion -- References -- Efficient Community Detection by Exploiting Structural Properties of Real-World User-Item Graphs -- 1 Introduction -- 2 Related Work -- 3 Intuition Behind the Algorithm -- 4 Model -- 5 Algorithm -- 6 Experimental Evaluation -- 6.1 Evaluation on Detected Communities -- 6.2 Evaluation on Runtime -- 6.3 Evaluation on Convergence
001433073 5058_ $$a7 Conclusions -- References -- Measuring Proximity in Attributed Networks for Community Detection -- 1 Introduction -- 2 Related Work -- 3 Background and Preliminaries -- 3.1 Definitions -- 3.2 Community Detection Algorithms -- 3.3 Measures -- 3.4 Clustering Quality Evaluation -- 4 Proximity-Based Community Detection in Attributed Networks -- 5 Experiments -- 6 Results -- 7 Conclusion -- References -- Core Method for Community Detection -- 1 Theory -- 1.1 About Revealing Communities and Key Applied Tasks -- 1.2 Removing "Garbage" Vertices and Allocating the Core
001433073 5058_ $$a1.3 Graphs of Information Interaction -- 1.4 Meta-vertices and Meta-graph -- 1.5 Core Method -- 2 Tool -- 3 An Example of Applying the Method on Data from Twitter -- 3.1 The Core Detection -- 3.2 The Structure of Meta-Vertices -- 4 Conclusions -- References -- Effects of Community Structure in Social Networks on Speed of Information Diffusion -- 1 Introduction -- 2 Effects of Community Structure on Diffusion Speed of Tweets -- 2.1 Methodology -- 2.2 Results -- 3 Predicting Diffusion Speed -- 3.1 Problem Setting -- 3.2 Prediction Method -- 3.3 Prediction Results -- 4 Conclusion -- References
001433073 5058_ $$aClosure Coefficient in Complex Directed Networks -- 1 Introduction -- 2 Preliminaries -- 2.1 Clustering Coefficient -- 2.2 Closure Coefficient -- 3 Closure Coefficient in Directed Networks -- 3.1 Closure Coefficient in Binary Directed Networks -- 3.2 Closure Coefficients of Particular Patterns -- 3.3 Closure Coefficient in Weighted Networks -- 4 Experiments and Analysis -- 4.1 Directed Closure Coefficient in Real-World Networks -- 4.2 Link Prediction in Directed Networks -- 5 Conclusion -- References -- Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network
001433073 506__ $$aAccess limited to authorized users.
001433073 520__ $$aThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.
001433073 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 18, 2021).
001433073 650_0 $$aComputer networks$$vCongresses.
001433073 650_0 $$aSystem analysis$$vCongresses.
001433073 650_0 $$aSystems engineering$$vCongresses.
001433073 650_6 $$aRéseaux d'ordinateurs$$vCongrès.
001433073 650_6 $$aAnalyse de systèmes$$vCongrès.
001433073 650_6 $$aIngénierie des systèmes$$vCongrès.
001433073 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001433073 655_7 $$aConference papers and proceedings.$$2lcgft
001433073 655_7 $$aActes de congrès.$$2rvmgf
001433073 655_0 $$aElectronic books.
001433073 7001_ $$aBenito, Rosa M.
001433073 7001_ $$aCherifi, Chantal.
001433073 7001_ $$aCherifi, Hocine.
001433073 7001_ $$aMoro, Esteban.
001433073 7001_ $$aRocha, Luis Mateus.
001433073 7001_ $$aSales-Pardo, Marta.
001433073 77608 $$iPrint version:$$aBenito, Rosa M.$$tComplex Networks and Their Applications IX.$$dCham : Springer International Publishing AG, ©2020$$z9783030653460
001433073 830_0 $$aStudies in computational intelligence ;$$vv. 943.
001433073 852__ $$bebk
001433073 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-65347-7$$zOnline Access$$91397441.1
001433073 909CO $$ooai:library.usi.edu:1433073$$pGLOBAL_SET
001433073 980__ $$aBIB
001433073 980__ $$aEBOOK
001433073 982__ $$aEbook
001433073 983__ $$aOnline
001433073 994__ $$a92$$bISE