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Complex Networks

Complex Networks
Author: Vito Latora
Publisher: Cambridge University Press
Total Pages: 585
Release: 2017-09-28
Genre: 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.


Network Science

Network Science
Author: Albert-László Barabási
Publisher: Cambridge University Press
Total Pages: 477
Release: 2016-07-21
Genre: Computers
ISBN: 1107076269

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Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.


Complex Networks and Their Applications VIII

Complex Networks and Their Applications VIII
Author: Hocine Cherifi
Publisher: Springer Nature
Total Pages: 1047
Release: 2019-11-26
Genre: 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.


Graph Theory and Complex Networks

Graph Theory and Complex Networks
Author: Maarten van Steen
Publisher: Maarten Van Steen
Total Pages: 285
Release: 2010
Genre: Graph theory
ISBN: 9789081540612

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This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. To motivate students and to show that even these basic notions can be extremely useful, the book also aims to provide an introduction to the modern field of network science. Mathematics is often unnecessarily difficult for students, at times even intimidating. For this reason, explicit attention is paid in the first chapters to mathematical notations and proof techniques, emphasizing that the notations form the biggest obstacle, not the mathematical concepts themselves. This approach allows to gradually prepare students for using tools that are necessary to put graph theory to work: complex networks. In the second part of the book the student learns about random networks, small worlds, the structure of the Internet and the Web, peer-to-peer systems, and social networks. Again, everything is discussed at an elementary level, but such that in the end students indeed have the feeling that they: 1.Have learned how to read and understand the basic mathematics related to graph theory. 2.Understand how basic graph theory can be applied to optimization problems such as routing in communication networks. 3.Know a bit more about this sometimes mystical field of small worlds and random networks. There is an accompanying web site www.distributed-systems.net/gtcn from where supplementary material can be obtained, including exercises, Mathematica notebooks, data for analyzing graphs, and generators for various complex networks.


Data Science and Complex Networks

Data Science and Complex Networks
Author: Guido Caldarelli
Publisher: Oxford University Press
Total Pages: 136
Release: 2016-11-10
Genre: Science
ISBN: 0191024023

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This book provides a comprehensive yet short description of the basic concepts of Complex Network theory. In contrast to other books the authors present these concepts through real case studies. The application topics span from Foodwebs, to the Internet, the World Wide Web and the Social Networks, passing through the International Trade Web and Financial time series. The final part is devoted to definition and implementation of the most important network models. The text provides information on the structure of the data and on the quality of available datasets. Furthermore it provides a series of codes to allow immediate implementation of what is theoretically described in the book. Readers already used to the concepts introduced in this book can learn the art of coding in Python by using the online material. To this purpose the authors have set up a dedicated web site where readers can download and test the codes. The whole project is aimed as a learning tool for scientists and practitioners, enabling them to begin working instantly in the field of Complex Networks.


Complex Social Networks

Complex Social Networks
Author: Fernando Vega-Redondo
Publisher: Cambridge University Press
Total Pages: 316
Release: 2007-01-08
Genre: Business & Economics
ISBN: 9780521674096

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Dynamical Processes on Complex Networks

Dynamical Processes on Complex Networks
Author: Alain Barrat
Publisher: Cambridge University Press
Total Pages: 361
Release: 2012-10-11
Genre: 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.


Complex Graphs and Networks

Complex Graphs and Networks
Author: Fan Chung
Publisher: American Mathematical Soc.
Total Pages: 274
Release: 2006
Genre: Combinatorial analysis
ISBN: 0821836579

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Graph theory is a primary tool for detecting numerous hidden structures in various information networks, including Internet graphs, social networks, biological networks, or any graph representing relations in massive data sets. This book explains the universal and ubiquitous coherence in the structure of these realistic but complex networks.


Statistical Mechanics of Complex Networks

Statistical Mechanics of Complex Networks
Author: Romualdo Pastor-Satorras
Publisher: Springer Science & Business Media
Total Pages: 232
Release: 2003-08-08
Genre: Science
ISBN: 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.


Graph Spectra for Complex Networks

Graph Spectra for Complex Networks
Author: Piet van Mieghem
Publisher: Cambridge University Press
Total Pages: 363
Release: 2010-12-02
Genre: Technology & Engineering
ISBN: 1139492276

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Analyzing the behavior of complex networks is an important element in the design of new man-made structures such as communication systems and biologically engineered molecules. Because any complex network can be represented by a graph, and therefore in turn by a matrix, graph theory has become a powerful tool in the investigation of network performance. This self-contained 2010 book provides a concise introduction to the theory of graph spectra and its applications to the study of complex networks. Covering a range of types of graphs and topics important to the analysis of complex systems, this guide provides the mathematical foundation needed to understand and apply spectral insight to real-world systems. In particular, the general properties of both the adjacency and Laplacian spectrum of graphs are derived and applied to complex networks. An ideal resource for researchers and students in communications networking as well as in physics and mathematics.