Community Structure of Complex Networks
Community Structure of Complex Networks

Author: Hua-Wei Shen

Publisher: Springer Science & Business Media

Published: 2013-01-06

Total Pages: 128

ISBN-13: 3642318215

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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.

The Structure of Complex Networks
The Structure of Complex Networks

Author: Ernesto Estrada

Publisher: Oxford University Press

Published: 2012

Total Pages: 478

ISBN-13: 019959175X

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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.

Machine Learning and Knowledge Discovery in Databases
Machine Learning and Knowledge Discovery in Databases

Author: Walter Daelemans

Publisher: Springer Science & Business Media

Published: 2008-09-04

Total Pages: 714

ISBN-13: 354087478X

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This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Large Scale Structure And Dynamics Of Complex Networks: From Information Technology To Finance And Natural Science
Large Scale Structure And Dynamics Of Complex Networks: From Information Technology To Finance And Natural Science

Author: Alessandro Vespignani

Publisher: World Scientific

Published: 2007-06-28

Total Pages: 264

ISBN-13: 9814475416

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This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.

Statistical Mechanics of Complex Networks
Statistical Mechanics of Complex Networks

Author: Romualdo Pastor-Satorras

Publisher: Springer Science & Business Media

Published: 2003-08-08

Total Pages: 232

ISBN-13: 9783540403722

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Networks can provide a useful model and graphic image useful for the description of a wide variety of web-like structures in the physical and man-made realms, e.g. protein networks, food webs and the Internet. The contributions gathered in the present volume provide both an introduction to, and an overview of, the multifaceted phenomenology of complex networks. Statistical Mechanics of Complex Networks also provides a state-of-the-art picture of current theoretical methods and approaches.

Complex Networks & Their Applications IX
Complex Networks & Their Applications IX

Author: Rosa M. Benito

Publisher: Springer Nature

Published: 2020-12-19

Total Pages: 702

ISBN-13: 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.

Principles of Social Networking
Principles of Social Networking

Author: Anupam Biswas

Publisher: Springer Nature

Published: 2021-08-18

Total Pages: 447

ISBN-13: 9811633983

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This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks. Furthermore, the book covers extremely debated topics, surveys, future trends, issues, and challenges.

Complex Networks & Their Applications VI
Complex Networks & Their Applications VI

Author: Chantal Cherifi

Publisher: Springer

Published: 2017-11-24

Total Pages: 1290

ISBN-13: 331972150X

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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 VI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2017), which took place in Lyon on November 29 – December 1, 2017. 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 ecological networks and technological networks.

Complex Networks
Complex Networks

Author: Vito Latora

Publisher: Cambridge University Press

Published: 2017-09-28

Total Pages: 585

ISBN-13: 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.

Evolution of Networks
Evolution of Networks

Author: S. N. Dorogovtsev

Publisher:

Published: 2013-11

Total Pages: 282

ISBN-13: 0199686718

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We live in a world of networks, where everything is amazingly close to everything else. The notion of 'network' turns out to be central to our times: the Internet and WWW are changing our lives; our physical existence is based on various biological networks; we are involved in all-enveloping networks of economic and social relations. Only in the 1990s did physicists begin to explore real networks, both natural and artificial, as evolving systems with intriguingly complex and effective architectures. Progress has been so immediate and astounding that we actually face a new science based on a new set of concepts, and, one may even say, on a new philosophy: the natural philosophy of a small world. Old ideas from mathematics, statistical physics, biology, computer science, and so on take on quite new forms in applications to real evolving networks. - What is common to all networks? - What are the general principles of the organization and evolution of networks? - How do the laws of nature work in communication, biological, and social networks? - What are networks? This book, written by physicists, answers these questions and presents a general insight into the world of networks.