Computational Network Science

Author : Henry Hexmoor
Publisher : Morgan Kaufmann
Page : 128 pages
File Size : 41,5 Mb
Release : 2014-09-23
Category : Computers
ISBN : 9780128011560

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Computational Network Science by Henry Hexmoor Pdf

The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline. Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research. Demystifies media hype regarding Network Science and serves as a fast-paced introduction to state-of-the-art concepts and systems related to network science Comprehensive coverage of Network Science algorithms, methodologies, and common problems Includes references to formative and updated developments in the field Coverage spans mathematical sociology, economics, political science, and biological networks

Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl
Publisher : John Wiley & Sons
Page : 278 pages
File Size : 50,6 Mb
Release : 2015-11-16
Category : Medical
ISBN : 9783527337248

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Computational Network Theory by Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl Pdf

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

Author : Ernesto Estrada,Maria Fox,Desmond J. Higham,Gian-Luca Oppo
Publisher : Springer Science & Business Media
Page : 249 pages
File Size : 43,9 Mb
Release : 2010-08-24
Category : Computers
ISBN : 9781849963961

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Network Science by Ernesto Estrada,Maria Fox,Desmond J. Higham,Gian-Luca Oppo Pdf

Network Science is the emerging field concerned with the study of large, realistic networks. This interdisciplinary endeavor, focusing on the patterns of interactions that arise between individual components of natural and engineered systems, has been applied to data sets from activities as diverse as high-throughput biological experiments, online trading information, smart-meter utility supplies, and pervasive telecommunications and surveillance technologies. This unique text/reference provides a fascinating insight into the state of the art in network science, highlighting the commonality across very different areas of application and the ways in which each area can be advanced by injecting ideas and techniques from another. The book includes contributions from an international selection of experts, providing viewpoints from a broad range of disciplines. It emphasizes networks that arise in nature—such as food webs, protein interactions, gene expression, and neural connections—and in technology—such as finance, airline transport, urban development and global trade. Topics and Features: begins with a clear overview chapter to introduce this interdisciplinary field; discusses the classic network science of fixed connectivity structures, including empirical studies, mathematical models and computational algorithms; examines time-dependent processes that take place over networks, covering topics such as synchronisation, and message passing algorithms; investigates time-evolving networks, such as the World Wide Web and shifts in topological properties (connectivity, spectrum, percolation); explores applications of complex networks in the physical and engineering sciences, looking ahead to new developments in the field. Researchers and professionals from disciplines as varied as computer science, mathematics, engineering, physics, chemistry, biology, ecology, neuroscience, epidemiology, and the social sciences will all benefit from this topical and broad overview of current activities and grand challenges in the unfolding field of network science.

Author : Filippo Menczer,Santo Fortunato,Clayton A. Davis
Publisher : Cambridge University Press
Page : 275 pages
File Size : 54,9 Mb
Release : 2020-01-30
Category : Business & Economics
ISBN : 9781108471138

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A First Course in Network Science by Filippo Menczer,Santo Fortunato,Clayton A. Davis Pdf

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

Author : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
Publisher : John Wiley & Sons
Page : 364 pages
File Size : 40,9 Mb
Release : 2016-12-12
Category : Medical
ISBN : 9783527339587

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Computational Network Analysis with R by Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib Pdf

This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

Author : Albert-László Barabási,Márton PÃ3sfai
Publisher : Cambridge University Press
Page : 477 pages
File Size : 49,9 Mb
Release : 2016-07-21
Category : Computers
ISBN : 9781107076266

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Network Science by Albert-László Barabási,Márton PÃ3sfai Pdf

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

Author : Alan Julian Izenman
Publisher : Cambridge University Press
Page : 502 pages
File Size : 47,9 Mb
Release : 2023-01-05
Category : Mathematics
ISBN : 9781108889032

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Network Models for Data Science by Alan Julian Izenman Pdf

This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.

Author : Bogumil Kaminski
Publisher : Unknown
Page : 128 pages
File Size : 45,7 Mb
Release : 2022
Category : Electronic
ISBN : 1032112050

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Mining Complex Networks by Bogumil Kaminski Pdf

Author : Michael S. Vitevitch
Publisher : Routledge
Page : 295 pages
File Size : 47,6 Mb
Release : 2019-11-26
Category : Psychology
ISBN : 9781000740943

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Network Science in Cognitive Psychology by Michael S. Vitevitch Pdf

This volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic. This innovative guide draws on the three traditional pillars of cognitive psychological research–experimental, computational, and neuroscientific–and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.

Author : Begg, Rezaul
Publisher : IGI Global
Page : 396 pages
File Size : 53,5 Mb
Release : 2006-02-28
Category : Computers
ISBN : 9781591408383

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Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques by Begg, Rezaul Pdf

"This book provides information regarding state-of-the-art research outcomes and cutting-edge technology on various aspects of the human movement"--Provided by publisher.

Author : Claudio Cioffi-Revilla
Publisher : Springer
Page : 636 pages
File Size : 54,8 Mb
Release : 2017-06-29
Category : Computers
ISBN : 9783319501314

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Introduction to Computational Social Science by Claudio Cioffi-Revilla Pdf

This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.

Author : Matthias Dehmer
Publisher : Springer Science & Business Media
Page : 493 pages
File Size : 43,7 Mb
Release : 2010-10-14
Category : Mathematics
ISBN : 9780817647896

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Structural Analysis of Complex Networks by Matthias Dehmer Pdf

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 : Nataša Pržulj
Publisher : Cambridge University Press
Page : 647 pages
File Size : 49,5 Mb
Release : 2019-03-28
Category : Language Arts & Disciplines
ISBN : 9781108432238

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Analyzing Network Data in Biology and Medicine by Nataša Pržulj Pdf

Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl
Publisher : John Wiley & Sons
Page : 280 pages
File Size : 51,7 Mb
Release : 2015-05-04
Category : Medical
ISBN : 9783527691548

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Computational Network Theory by Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl Pdf

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.

Author : Liangyue Li,Hanghang Tong
Publisher : Cambridge University Press
Page : 167 pages
File Size : 49,7 Mb
Release : 2020-12-03
Category : Business & Economics
ISBN : 9781108498548

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Computational Approaches to the Network Science of Teams by Liangyue Li,Hanghang Tong Pdf

Surveys recent models and algorithms characterizing, predicting, optimizing, and explaining team performance in a variety of settings.