Complex networks /

In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the understanding of networks which are dynamic, large, open, and have a structure sometimes called random-biased. The field of Complex Networks is helping us better understand many complex phenomena such as...

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Bibliographic Details
Corporate Authors: CompleNet (Workshop) Florida Institute of Technology); SpringerLink (Online service)
Group Author: Menezes, Ronaldo; Evsukoff, Alexandre; Gonza lez, Marta C.
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Studies in computational intelligence, 424
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-30287-9
Summary: In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the understanding of networks which are dynamic, large, open, and have a structure sometimes called random-biased. The field of Complex Networks is helping us better understand many complex phenomena such as the spread of deseases, protein interactions, social relationships, to name but a few.Studies in Complex Networks are gaining attention due to some major scientific breakthroughs proposed by network scientists helping us understand and model interactions contained in large datasets. In fact, if we could point to one event leading to the widespread use of complex network analysis is the availability of online databases. Theories of Random Graphs from Erdo s and Re nyi from the late 1950s led us to believe that most networks had random characteristics. The work on large online datasets told us otherwise. Starting with the work of Baraba si and Albert as well as Watts and Strogatz in the late 1990s, we now know that most real networks are characterized by degree distributions that fit a power law (scale-free networks), and that they are highly clustered with small average path lengths between its nodes (small-world networks). It is therefore safe to state that the field of Complex Networks (sometimes called Network Sciences) is one of the most promising interdisciplinary disciplines of today. The 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 other art forms, and the understanding of knowledge transfer in influence networks.
Carrier Form: 1 online resource : illustrations (some colour).
Bibliography: Includes bibliographical references and author index.
ISBN: 9783642302879 (electronic bk.)
3642302874 (electronic bk.)
Index Number: TK5105
CLC: TP393-532
Contents: Hybrid Centrality Measures for Binary and Weighted Networks /
A Growing Model for Scale-Free Networks Embedded in Hyperbolic Metric Spaces /
The Robustness of Balanced Boolean Networks /
Structural Evolution in Knowledge Transfer Network: An Agent-Based Model /
Using Network Science to Define a Dynamic Communication Topology for Particle Swarm Optimizers /
Weak Ties in Complex Wireless Communication Networks /
Vulnerability-Aware Architecture for a Tactical, Mobile Cloud /
Migration, Communication and Social Networks - An Agent-Based Social Simulation /
A Comparison of Methods for Community Detection in Large Scale Networks /
Stable Community Cores in Complex Networks /
An Empirical Study of the Relation between Community Structure and Transitivity /
Detecting Overlapping Communities in Complex Networks Using Swarm Intelligence for Multi-threaded Label Propagation /
A Genetic Algorithm to Partition Weighted Planar Graphs in Which the Weight of Nodes Follows a Power Law /
Measuring a Category-Based Blogosphere /
Ripple Effects: Small-Scale Investigations into the Sustainability of Ocean Science Education Networks /
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 /
Tipping Points of Diehards in Social Consensus on Large Random Networks /
Modeling Annual Supreme Court Influence: The Role of Citation Practices and Judicial Tenure in Determining Precedent Network Growth /
The Effect of Citations to Collaboration Networks /
Network Analysis of Software Repositories: Identifying Subject Matter Experts /
The Social Structure of Organ Transplantation in the United States /
A Novel Framework for Complex Networks and Chronic Diseases /
Centrality and Network Analysis in a Natural Perturbed Ecosystem /
The Explanatory Power of Relations and an Application to an Economic Network /
Mapping Emerging News Networks: A Case Study of the San Francisco Bay Area /
Identifying Critical Road Network Areas with Node Centralities Interference and Robustness /
Software Collaboration Networks /