Complex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017 / edited by Bruno Gonçalves, Ronaldo Menezes, Roberta Sinatra, Vinko Zlatic.

Format:

Book

Contributor:

Gonçalves, Bruno., Editor.

Menezes, Ronaldo., Editor.

Sinatra, Roberta., Editor.

Zlatic, Vinko., Editor.

Series:

Springer Proceedings in Complexity, 2213-8692

Language:

English

Subjects (All):

Graph theory.

Sociology--Methodology.

Sociology.

Computational intelligence.

Artificial intelligence.

Dynamics.

Nonlinear theories.

Graph Theory.

Sociological Methods.

Computational Intelligence.

Artificial Intelligence.

Applied Dynamical Systems.

Local Subjects:

Graph Theory.

Sociological Methods.

Computational Intelligence.

Artificial Intelligence.

Applied Dynamical Systems.

Physical Description:

1 online resource (XIV, 262 p. 88 illus., 75 illus. in color.)

Edition:

1st ed. 2017.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

Summary:

This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure.

Contents:

Part I: Theory of Complex Networks

Second-Order Assortative Mixing in Social Networks

Network motifs detection using random networks with prescribed subgraph frequencies

Fuzzy Centrality Evaluation in Complex and Multiplex Networks

Part II: Community Structure

Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model

Node-centric community detection in multilayer networks with layer-coverage diversification bias

Community Detection in Signed Networks Based on Extended Signed Modularity

Characterising inter and intra-community interactions in link streams using temporal motifs

Part III: Dynamics of Networks

Modeling the Impact of Privacy on Information Diffusion in Social Networks

Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks

Stochastic Modeling of the Decay Dynamics of Online Social Networks

Part IV: Applications of Network Science

Complex Reaction Network in Silane Plasma Chemistry

Seeing Red: Locating People of Interest in Networks

Understanding Subject-based Emoji Usage using Network Science

Characterization of Written Languages using Structural Features from Common Corpora

Optimal Information Security Investment in Modern Social Networking

Part V: Social Structure

Emergence of social balance in signed networks

Community Detection in the Network of German Princes in 1225: a Case Study

Comparative topological signatures of growing collaboration networks

Part VI: Human Behavior

Explaining changes in physical activity through a computational model of social contagion

Everyday the Same Picture: Popularity and Content Diversity

Part VII: Biological Networks

Investigating side effect modules in the interactome and their use in drug adverse effect discovery

Attractor Analysis of the Asynchronous Boolean Model of the Klotho Gene Regulatory Network.

Notes:

Includes bibliographical references at the end of each chapters and index.

ISBN:

3-319-54241-9