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Complex Networks VIII: Proceedings of the 8th Conference on Complex Networks CompleNet 2017 Softcover reprint of the original 1st ed. 2017 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 262 pages, aukštis x plotis: 235x155 mm, weight: 454 g, 75 Illustrations, color; 13 Illustrations, black and white; XIV, 262 p. 88 illus., 75 illus. in color., 1 Paperback / softback
  • Serija: Springer Proceedings in Complexity
  • Išleidimo metai: 13-Jul-2018
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319853503
  • ISBN-13: 9783319853505
Kitos knygos pagal šią temą:
Complex Networks VIII: Proceedings of the 8th Conference on Complex Networks CompleNet 2017 Softcover reprint of the original 1st ed. 2017Didesnis paveikslėlis
  • Formatas: Paperback / softback, 262 pages, aukštis x plotis: 235x155 mm, weight: 454 g, 75 Illustrations, color; 13 Illustrations, black and white; XIV, 262 p. 88 illus., 75 illus. in color., 1 Paperback / softback
  • Serija: Springer Proceedings in Complexity
  • Išleidimo metai: 13-Jul-2018
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319853503
  • ISBN-13: 9783319853505
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783319853505.html
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.
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.