In the last decade we have seen the emergence of a new inter-disciplinary field concentrating on the understanding large networks which are dynamic, large, open, and have a structure that borders order and randomness. The field of Complex Networks has helped us better understand many complex phenomena such as spread of decease, protein interaction, social relationships, to name but a few.
The field of Complex Networks has received a major boost caused by the widespread availability of huge network data resources in the last years. One of the most surprising findings is that real networks behave very distinct from traditional assumptions of network theory. Traditionally, real networks were supposed to have a majority of nodes of about the same number of connections around an average. This is typically modeled by random graphs. But modern network research could show that the majority of nodes of real networks is very low connected, and, by contrast, there exists some nodes of very extreme connectivity (hubs).
The current theories coupled with the availability of data makes the field of Complex Networks (sometimes called Network Sciences) one of the most promising interdisciplinary disciplines of today. This sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music, and the understanding knowledge transfer in influence networks.
Author(s): Alireza Abbasi, Liaquat Hossain (auth.), Ronaldo Menezes, Alexandre Evsukoff, Marta C. González (eds.)
Series: Studies in Computational Intelligence 424
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2013
Language: English
Pages: 266
Tags: Computational Intelligence;Complexity;Complex Networks
Front Matter....Pages 1-8
Hybrid Centrality Measures for Binary and Weighted Networks....Pages 1-7
A Growing Model for Scale–Free Networks Embedded in Hyperbolic Metric Spaces....Pages 9-17
The Robustness of Balanced Boolean Networks....Pages 19-30
Structural Evolution in Knowledge Transfer Network: An Agent-Based Model....Pages 31-38
Using Network Science to Define a Dynamic Communication Topology for Particle Swarm Optimizers....Pages 39-47
Weak Ties in Complex Wireless Communication Networks....Pages 49-56
Vulnerability-Aware Architecture for a Tactical, Mobile Cloud....Pages 57-65
Migration, Communication and Social Networks – An Agent-Based Social Simulation....Pages 67-74
A Comparison of Methods for Community Detection in Large Scale Networks....Pages 75-86
Stable Community Cores in Complex Networks....Pages 87-98
An Empirical Study of the Relation between Community Structure and Transitivity....Pages 99-110
Detecting Overlapping Communities in Complex Networks Using Swarm Intelligence for Multi-threaded Label Propagation....Pages 111-119
A Genetic Algorithm to Partition Weighted Planar Graphs in Which the Weight of Nodes Follows a Power Law....Pages 121-130
Measuring a Category-Based Blogosphere....Pages 131-139
Ripple Effects: Small-Scale Investigations into the Sustainability of Ocean Science Education Networks....Pages 141-147
Socio-dynamic Discrete Choice on Networks in Space: Impact of Initial Conditions, Network Size and Connectivity on Emergent Outcomes in a Simple Nested Logit Model....Pages 149-160
Tipping Points of Diehards in Social Consensus on Large Random Networks....Pages 161-168
Modeling Annual Supreme Court Influence: The Role of Citation Practices and Judicial Tenure in Determining Precedent Network Growth....Pages 169-176
The Effect of Citations to Collaboration Networks....Pages 177-185
Network Analysis of Software Repositories: Identifying Subject Matter Experts....Pages 187-198
The Social Structure of Organ Transplantation in the United States....Pages 199-206
A Novel Framework for Complex Networks and Chronic Diseases....Pages 207-215
Centrality and Network Analysis in a Natural Perturbed Ecosystem....Pages 217-224
The Explanatory Power of Relations and an Application to an Economic Network....Pages 225-236
Mapping Emerging News Networks: A Case Study of the San Francisco Bay Area....Pages 237-244
Identifying Critical Road Network Areas with Node Centralities Interference and Robustness....Pages 245-255
Software Collaboration Networks....Pages 257-264
Back Matter....Pages 0--1
