Dynamics on and of complex networks. Volume 2 : Applications to time-varying dynamical systems / Animesh Mukherjee [and others], editors.

"This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. Almost any large-scale system, either naturally occurring or man-made, can be viewed as a complex network of interacting entiti...

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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Mukherjee, Animesh
Format: eBook
Language:English
Published: New York, NY : Birkhäuser, ©2013.
Series:Modeling and simulation in science, engineering & technology.
Subjects:

MARC

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245 0 0 |a Dynamics on and of complex networks.  |n Volume 2 :  |b Applications to time-varying dynamical systems /  |c Animesh Mukherjee [and others], editors. 
264 1 |a New York, NY :  |b Birkhäuser,  |c ©2013. 
300 |a 1 online resource (xiii, 343 pages) :  |b illustrations. 
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490 1 |a Modeling and simulation in science, engineering and eechnology,  |x 2164-3679. 
504 |a Includes bibliographical references and index. 
505 0 0 |t Online Social Media, Internet, and WWW.  |t Dynamics in Online Social Networks /  |r Przemyslaw A. Grabowicz, José J. Ramasco, Víctor M. Eguíluz --  |t An Empirical Validation of Growth Models for Complex Networks /  |r Alan Mislove [and others] --  |t On the Routability of the Internet /  |r Pau Erola, Sergio Gómez, Alex Arenas --  |t The Evolution of Layered Protocol Stacks Leads to an Hourglass-Shaped Architecture /  |r Saamer Akhshabi, Constantine Dovrolis --  |t Opinion Dynamics on Coevolving Networks /  |r Federico Vazquez --  |t Community Analysis.  |t A Template for Parallelizing the Louvain Method for Modularity Maximization /  |r Sanjukta Bhowmick, Sriram Srinivasan --  |t Multi-scale Modularity and Dynamics in Complex Networks /  |r Renaud Lambiotte --  |t Evaluating the Performance of Clustering Algorithms in Networks /  |r Andrea Lancichinetti --  |t Communities in Evolving Networks: Definitions, Detection, and Analysis Techniques /  |r Thomas Aynaud [and others] --  |t Clustering Hypergraphs for Discovery of Overlapping Communities in Folksonomies /  |r Abhijnan Chakraborty, Saptarshi Ghosh --  |t The Stability of a Graph Partition: A Dynamics-Based Framework for Community Detection /  |r Jean-Charles Delvenne [and others] --  |t Algorithms for Finding Motifs in Large Labeled Networks /  |r Maleq Khan [and others] --  |t Diffusion, Spreading, Mobility, and Transport.  |t A Dynamical Network View of Lyon's Vélo'v Shared Bicycle System /  |r Pierre Borgnat [and others] --  |t Generalized Voter-Like Models on Heterogeneous Networks /  |r Paolo Moretti, Andrea Baronchelli, Michele Starnini, Romualdo Pastor-Satorras --  |t Epidemics on a Stochastic Model of Temporal Network /  |r Luis E.C. Rocha, Adeline Decuyper, Vincent D. Blondel --  |t Network-Based Information Filtering Algorithms: Ranking and Recommendation /  |r Matúš Medo. 
520 |a "This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. Almost any large-scale system, either naturally occurring or man-made, can be viewed as a complex network of interacting entities dynamically evolving over time. Therefore, the theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Towards this goal, the work is thematically organized into three main sections: Part I studies the application of complex networks to biological problems; Part II focuses on social networks; and Part III is an overview of networks prevalent in the information sciences."--Publisher's website. 
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