Search Results for the-structure-of-complex-networks

The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks.

Author: Ernesto Estrada

Publisher: Oxford University Press

ISBN: 9780199591756

Category: Computers

Page: 465

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The book integrates approaches from mathematics, physics and computer sciences to analyse the organisation of complex networks. Every organisational principle of networks is defined, quantified and then analysed for its influences on the properties and functions of molecular, biological, ecological and social networks.
2012 By Ernesto Estrada

PhD

Author: Tue Herlau

Publisher:

ISBN: OCLC:1012745886

Category:

Page:

View: 614

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2014 By Tue Herlau

Author: Sune Lehmann Jørgensen

Publisher:

ISBN: 8764301893

Category:

Page:

View: 838

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In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount ...

Author: Jörg Reichardt

Publisher: Springer Science & Business Media

ISBN: 9783540878322

Category: Computers

Page: 151

View: 140

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In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of data in a meaningful way. This concise and pedagogical research monograph introduces the reader to two specific aspects - clustering techniques and dimensionality reduction - in the context of complex network analysis. The first chapter provides a short introduction into relevant graph theoretical notation; chapter 2 then reviews and compares a number of cluster definitions from different fields of science. In the subsequent chapters, a first-principles approach to graph clustering in complex networks is developed using methods from statistical physics and the reader will learn, that even today, this field significantly contributes to the understanding and resolution of the related statistical inference issues. Finally, an application chapter examines real-world networks from the economic realm to show how the network clustering process can be used to deal with large, sparse datasets where conventional analyses fail.
2008-11-24 By Jörg Reichardt

Author: Tue Herlau

Publisher:

ISBN: OCLC:1014414126

Category:

Page:

View: 388

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2014 By Tue Herlau

This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines.

Author: Niloy Ganguly

Publisher: Springer Science & Business Media

ISBN: 9780817647506

Category: Computers

Page: 305

View: 354

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This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. 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. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.
2009-04-14 By Niloy Ganguly

Author: Leon Danon

Publisher:

ISBN: OCLC:804908186

Category:

Page: 138

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2006 By Leon Danon

J. Stat. Mech. P10008 (2008) Duch, J., Arenas, A.: Community detection in complex networks using extremal optimization. Phys. Rev. E 72, 027104 (2005) Newman, M.E.J.: Modularity and community structure in networks. Proc.

Author: Hua-Wei Shen

Publisher: Springer Science & Business Media

ISBN: 9783642318214

Category: Computers

Page: 117

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Community structure is a salient structural characteristic of many real-world networks. Communities are generally hierarchical, overlapping, multi-scale and coexist with other types of structural regularities of networks. This poses major challenges for conventional methods of community detection. This book will comprehensively introduce the latest advances in community detection, especially the detection of overlapping and hierarchical community structures, the detection of multi-scale communities in heterogeneous networks, and the exploration of multiple types of structural regularities. These advances have been successfully applied to analyze large-scale online social networks, such as Facebook and Twitter. This book provides readers a convenient way to grasp the cutting edge of community detection in complex networks. The thesis on which this book is based was honored with the “Top 100 Excellent Doctoral Dissertations Award” from the Chinese Academy of Sciences and was nominated as the “Outstanding Doctoral Dissertation” by the Chinese Computer Federation.
2013-01-06 By Hua-Wei Shen

Author: Mirko Signorelli

Publisher:

ISBN: 9036795761

Category:

Page: 142

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Here we propose a method that allows for multiple resolution screening of the modular structure. The method has been validated using synthetic networks, discovering the predefined structures at all scales.

Author:

Publisher:

ISBN: OCLC:727217773

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Modular structure is ubiquitous in real-world complex networks, and its detection is important because it gives insights in the structure-functionality relationship. The standard approach is based on the optimization of a quality function, modularity, which is a relative quality measure for a partition of a network into modules. Recently some authors have pointed out that the optimization of modularity has a fundamental drawback: the existence of a resolution limit beyond which no modular structure can be detected even though these modules might have own entity. The reason is that several topological descriptions of the network coexist at different scales, which is, in general, a fingerprint of complex systems. Here we propose a method that allows for multiple resolution screening of the modular structure. The method has been validated using synthetic networks, discovering the predefined structures at all scales. Its application to two real social networks allows to find the exact splits reported in the literature, as well as the substructure beyond the actual split.
2008 By

Author: Steffen Karalus

Publisher:

ISBN: OCLC:956307533

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2015 By Steffen Karalus

Author: Carlo Drago

Publisher:

ISBN: OCLC:1091762373

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Author: Pósfai Márton

Publisher:

ISBN: OCLC:1081823956

Category:

Page: 110

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2014 By Pósfai Márton

Author:

Publisher:

ISBN: OCLC:926818115

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View: 139

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2011 By

Author: Jacopo Iacovacci

Publisher:

ISBN: OCLC:1090438850

Category:

Page:

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Author: Daqing Li

Publisher:

ISBN: OCLC:1014128516

Category:

Page: 164

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2010 By Daqing Li

A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.

Author: Vito Latora

Publisher: Cambridge University Press

ISBN: 9781107103184

Category: Science

Page: 594

View: 418

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A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.
2017-09-30 By Vito Latora

Author: Stefano Boccaletti

Publisher:

ISBN: OCLC:173031560

Category: Chaotic behavior in systems

Page: 336

View: 469

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Author:

Publisher:

ISBN: OCLC:315231670

Category:

Page: 133

View: 632

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2006 By

Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. ... E 67,026126 (2003). https://doi. org/10.1103/PhysRevE.67.026126 Newman, M.E.J.: The structure and function of complex networks. SIAM Rev.

Author: Miloš Savić

Publisher: Springer

ISBN: 9783319911960

Category: Technology & Engineering

Page: 317

View: 985

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This book provides a comprehensive review of complex networks from three different domains, presents novel methods for analyzing them, and highlights applications with accompanying case studies. Special emphasis is placed on three specific kinds of complex networks of high technological and scientific importance: software networks extracted from the source code of computer programs, ontology networks describing semantic web ontologies, and co-authorship networks reflecting collaboration in science. The book is primarily intended for researchers, teachers and students interested in complex networks and network data analysis. However, it will also be valuable for researchers dealing with software engineering, ontology engineering and scientometrics, as it demonstrates how complex network analysis can be used to address important research issues in these three disciplines.
2018-05-10 By Miloš Savić