Overview

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.   

Full Product Details

Author:   Rosa M. Benito ,  Chantal Cherifi ,  Hocine Cherifi ,  Esteban Moro
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   943
Weight:   1.232kg
ISBN:  

9783030653460

ISBN 10:   3030653463
Pages:   685
Publication Date:   20 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Structural Node Embedding in Signed Social Networks: Finding Online Misbehavior at Multiple Scales.- On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks.- Detecting Geographical Competitive Structure for POI Visit Dynamics.- Graph Convolutional Network with Time-based Mini-batch for Information Diffusion Prediction.- Experimental Evaluation of Train and Test Split Strategies in Link Prediction.- Incorporating Domain Knowledge into Health Recommender Systems Using Hyperbolic Embeddings.- Learning Parameters for Balanced Index Influence Maximization.- Connecting the Dots: Integrating Point Location Data into Spatial Network Analyses.- Topological Analysis of Synthetic Models for Air Transportation Multilayer Networks.- Extending DeGroot Opinion Formation for Signed Graphs and Minimising Polarization.- Forming Diverse Teams Based on Members’ Social Networks: A Genetic Algorithm Approach.

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