[PDF] Computation In Complex Networks eBook

Author : Clara Pizzuti
Publisher : MDPI
Page : 352 pages
File Size : 45,98 MB
Release : 2021-09-02
Category : Technology & Engineering
ISBN : 3036506829

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Complex networks are one of the most challenging research focuses of disciplines, including physics, mathematics, biology, medicine, engineering, and computer science, among others. The interest in complex networks is increasingly growing, due to their ability to model several daily life systems, such as technology networks, the Internet, and communication, chemical, neural, social, political and financial networks. The Special Issue “Computation in Complex Networks" of Entropy offers a multidisciplinary view on how some complex systems behave, providing a collection of original and high-quality papers within the research fields of: • Community detection • Complex network modelling • Complex network analysis • Node classification • Information spreading and control • Network robustness • Social networks • Network medicine

Author : Joseph T. Lizier
Publisher : Springer Science & Business Media
Page : 249 pages
File Size : 33,29 MB
Release : 2012-11-06
Category : Technology & Engineering
ISBN : 3642329527

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The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximised near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organisation underline the practical utility of the techniques presented here.

Author : Clara Pizzuti
Publisher :
Page : 352 pages
File Size : 13,67 MB
Release : 2021
Category :
ISBN : 9783036506838

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Complex networks are one of the most challenging research focuses of disciplines, including physics, mathematics, biology, medicine, engineering, and computer science, among others. The interest in complex networks is increasingly growing, due to their ability to model several daily life systems, such as technology networks, the Internet, and communication, chemical, neural, social, political and financial networks. The Special Issue “Computation in Complex Networks" of Entropy offers a multidisciplinary view on how some complex systems behave, providing a collection of original and high-quality papers within the research fields of: • Community detection • Complex network modelling • Complex network analysis • Node classification • Information spreading and control • Network robustness • Social networks • Network medicine.

Author : Matthias Dehmer
Publisher : Springer Science & Business Media
Page : 493 pages
File Size : 17,31 MB
Release : 2010-10-14
Category : Mathematics
ISBN : 0817647899

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Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology, chemistry, linguistics, and data analysis are emphasized. The book is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. It may also be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods.

Author : Jing Liu
Publisher : Springer
Page : 160 pages
File Size : 16,67 MB
Release : 2018-09-22
Category : Technology & Engineering
ISBN : 3319600001

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This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

Author : Harald Atmanspacher
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 50,61 MB
Release : 2013-11-11
Category : Technology & Engineering
ISBN : 1489923055

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Proceedings of a NATO ASI held in Irsee/Kaufbeuren, Germany, June 15--26, 1990

Author : Alain Barrat
Publisher : Cambridge University Press
Page : 361 pages
File Size : 44,2 MB
Release : 2012-10-11
Category : Science
ISBN : 9781107626256

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The availability of large data sets have allowed researchers to uncover complex properties such as large scale fluctuations and heterogeneities in many networks which have lead to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. For example, a vast number of everyday systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This new and recent account presents a comprehensive explanation of these effects.

Author : Vito Latora
Publisher : Cambridge University Press
Page : 585 pages
File Size : 18,3 MB
Release : 2017-09-28
Category : Computers
ISBN : 1107103185

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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.

Author : Rosa M. Benito
Publisher : Springer Nature
Page : 702 pages
File Size : 44,10 MB
Release : 2020-12-19
Category : Technology & Engineering
ISBN : 3030653471

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This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.

Author : Hocine Cherifi
Publisher : Springer Nature
Page : 1047 pages
File Size : 32,17 MB
Release : 2019-11-26
Category : Technology & Engineering
ISBN : 3030366839

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This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.