Title Complex networks and their applications IX. Volume 1 : proceedings of the ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020 / Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo, editors

Published Cham : Springer, 2021

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Description 1 online resource (702 pages) Series Studies in Computational Intelligence ; v. 943 Studies in computational intelligence ; v. 943. Contents Intro -- 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 3.1 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 7 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 1.3 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 Closure 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 Summary This 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 Notes 1 Introduction Includes author index Online resource; title from PDF title page (SpringerLink, viewed February 18, 2021) In Springer Nature eBook Subject Computer networks -- Congresses System analysis -- Congresses Systems engineering -- Congresses Systems engineering System analysis Computer networks Computational complexity Computational intelligence Graph theory Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Benito, Rosa M Cherifi, Chantal Cherifi, Hocine. Moro, Esteban Rocha, Luis Mateus Sales-Pardo, Marta ISBN 9783030653477 3030653471 3030653463 9783030653460 9783030653484 303065348X 9783030653491 3030653498

Other Titles COMPLEX NETWORKS 2020

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