Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020

by Rosa M. Benito (Editor), Chantal Cherifi (Editor), Hocine Cherifi (Editor), Esteban Moro (Editor), Luis Mateus Rocha (Editor)

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.

Product Details

ISBN-13:	9783030653491
Publisher:	Springer International Publishing
Publication date:	12/19/2020
Series:	Studies in Computational Intelligence , #943
Edition description:	1st ed. 2021
Pages:	685
Product dimensions:	6.10(w) x 9.25(h) x (d)

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.