[PDF] A First Course In Network Theory eBook

Author : Ernesto Estrada
Publisher : Oxford University Press, USA
Page : 269 pages
File Size : 44,83 MB
Release : 2015
Category : Science
ISBN : 0198726457

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The study of network theory is a highly interdisciplinary field, which has emerged as a major topic of interest in various disciplines ranging from physics and mathematics, to biology and sociology. This book promotes the diverse nature of the study of complex networks by balancing the needs of students from very different backgrounds. It references the most commonly used concepts in network theory, provides examples of their applications in solving practical problems, and clear indications on how to analyse their results. In the first part of the book, students and researchers will discover the quantitative and analytical tools necessary to work with complex networks, including the most basic concepts in network and graph theory, linear and matrix algebra, as well as the physical concepts most frequently used for studying networks. They will also find instruction on some key skills such as how to proof analytic results and how to manipulate empirical network data. The bulk of the text is focused on instructing readers on the most useful tools for modern practitioners of network theory. These include degree distributions, random networks, network fragments, centrality measures, clusters and communities, communicability, and local and global properties of networks. The combination of theory, example and method that are presented in this text, should ready the student to conduct their own analysis of networks with confidence and allow teachers to select appropriate examples and problems to teach this subject in the classroom.

Author : Filippo Menczer
Publisher : Cambridge University Press
Page : 275 pages
File Size : 29,64 MB
Release : 2020-01-30
Category : Science
ISBN : 1108579612

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Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

Author : Raymond W. Yeung
Publisher : Springer Science & Business Media
Page : 426 pages
File Size : 47,36 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1441986081

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This book provides an up-to-date introduction to information theory. In addition to the classical topics discussed, it provides the first comprehensive treatment of the theory of I-Measure, network coding theory, Shannon and non-Shannon type information inequalities, and a relation between entropy and group theory. ITIP, a software package for proving information inequalities, is also included. With a large number of examples, illustrations, and original problems, this book is excellent as a textbook or reference book for a senior or graduate level course on the subject, as well as a reference for researchers in related fields.

Author : Brian D. O. Anderson
Publisher : Courier Corporation
Page : 559 pages
File Size : 30,61 MB
Release : 2013-01-30
Category : Technology & Engineering
ISBN : 0486152170

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This comprehensive look at linear network analysis and synthesis explores state-space synthesis as well as analysis, employing modern systems theory to unite classical concepts of network theory. 1973 edition.

Author : Filippo Menczer
Publisher : Cambridge University Press
Page : 275 pages
File Size : 39,37 MB
Release : 2020-01-30
Category : Business & Economics
ISBN : 1108471137

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A practical introduction to network science for students across business, cognitive science, neuroscience, sociology, biology, engineering and other disciplines.

Author : Albert-László Barabási
Publisher : Cambridge University Press
Page : 477 pages
File Size : 10,94 MB
Release : 2016-07-21
Category : 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.

Author : Ted G. Lewis
Publisher : John Wiley & Sons
Page : 440 pages
File Size : 17,77 MB
Release : 2011-09-20
Category : Computers
ISBN : 1118211014

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A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.

Author : Alan Julian Izenman
Publisher : Cambridge University Press
Page : 501 pages
File Size : 42,69 MB
Release : 2022-12-31
Category : Mathematics
ISBN : 1108835767

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This is the first book to describe modern methods for analyzing complex networks arising from a wide range of disciplines.

Author : Abbas El Gamal
Publisher : Cambridge University Press
Page : 666 pages
File Size : 32,98 MB
Release : 2011-12-08
Category : Technology & Engineering
ISBN : 1139503146

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This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.

Author : Guido Caldarelli
Publisher : Oxford University Press
Page : 136 pages
File Size : 31,13 MB
Release : 2016-11-10
Category : 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.