Complex Networks VIII (eBook)

Proceedings of the 8th Conference on Complex Networks CompleNet 2017

Bruno Gonçalves, Ronaldo Menezes, Roberta Sinatra, Vinko Zlatic (Herausgeber)

eBook Download: PDF

2017 | 1st ed. 2017
XIV, 262 Seiten
Springer International Publishing (Verlag)
978-3-319-54241-6 (ISBN)

Infos

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.

Inhalt

Part I: Theory of Complex Networks.- Second-Order Assortative Mixing in Social Networks.- Network motifs detection using random networks with prescribed subgraph frequencies.- 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.

Produkt-Details

• Erscheint lt. Verlag: 1.3.2017
• Reihe/Serie: Springer Proceedings in Complexity
• Reihe/Serie: Springer Proceedings in Complexity
• Zusatzinfo: XIV, 262 p. 88 illus., 75 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
• Themenwelt: Sozialwissenschaften ► Politik / Verwaltung
• Themenwelt: Technik
• Schlagworte: COMPLENET • Complexity • complexity proceedings • complex networks • Computational Intelligence • Computational Social Sciences • Conference on Complex Networks • network controllability • network science • Recommendation Systems
• ISBN-10: 3-319-54241-9 / 3319542419
• ISBN-13: 978-3-319-54241-6 / 9783319542416