Computational Network Science Book

Computational Network Science


  • Author : Henry Hexmoor
  • Publisher : Morgan Kaufmann
  • Release Date : 2014-09-23
  • Genre: Computers
  • Pages : 128
  • ISBN 10 : 9780128011560

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Computational Network Science Excerpt :

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

Computational Network Analysis with R Book

Computational Network Analysis with R


  • Author : Matthias Dehmer
  • Publisher : John Wiley & Sons
  • Release Date : 2016-12-12
  • Genre: Medical
  • Pages : 364
  • ISBN 10 : 9783527339587

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Computational Network Analysis with R Excerpt :

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.

Network Science Book

Network Science


  • Author : Ernesto Estrada
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-08-24
  • Genre: Computers
  • Pages : 245
  • ISBN 10 : 9781849963961

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Network Science Excerpt :

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

Network Science and Cybersecurity Book

Network Science and Cybersecurity


  • Author : Robinson E. Pino
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-14
  • Genre: Computers
  • Pages : 285
  • ISBN 10 : 9781461475972

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Network Science and Cybersecurity Excerpt :

Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of Defense, industry and academic laboratories. This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks. These attacks may not yet be known or have well-developed signatures. Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers. This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference. Advanced-level students in computer science or electrical engineering studying security will also find this book useful .

Computational Network Theory Book

Computational Network Theory


  • Author : Matthias Dehmer
  • Publisher : John Wiley & Sons
  • Release Date : 2015-11-16
  • Genre: Medical
  • Pages : 278
  • ISBN 10 : 9783527337248

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Computational Network Theory Excerpt :

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.

Network Science Book
Score: 5
From 1 Ratings

Network Science


  • Author : Albert-László Barabási
  • Publisher : Cambridge University Press
  • Release Date : 2016-07-21
  • Genre: Computers
  • Pages : 477
  • ISBN 10 : 9781107076266

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Network Science Excerpt :

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

Analyzing Network Data in Biology and Medicine Book

Analyzing Network Data in Biology and Medicine


  • Author : Nataša Pržulj
  • Publisher : Cambridge University Press
  • Release Date : 2019-03-28
  • Genre: Language Arts & Disciplines
  • Pages : 647
  • ISBN 10 : 9781108432238

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Analyzing Network Data in Biology and Medicine Excerpt :

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

A First Course in Network Science Book
Score: 5
From 1 Ratings

A First Course in Network Science


  • Author : Filippo Menczer
  • Publisher : Cambridge University Press
  • Release Date : 2020-01-30
  • Genre: Business & Economics
  • Pages : 275
  • ISBN 10 : 9781108471138

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A First Course in Network Science Excerpt :

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

Computational Social Networks Book

Computational Social Networks


  • Author : Hien T. Nguyen
  • Publisher : Springer
  • Release Date : 2016-07-11
  • Genre: Computers
  • Pages : 356
  • ISBN 10 : 9783319423456

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Computational Social Networks Excerpt :

This book constitutes the refereed proceedings of the 5th International Conference on Computational Social Networks, CSoNet 2016, held in Ho Chi Minh City, Vietnam, in August 2016. The 30 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers cover topics on common principles, algorithms and tools that govern social network structures/topologies, functionalities, social interactions, security and privacy, network behaviors, information diffusions and influence, social recommendation systems which are applicable to all types of social networks and social media.

Computational Approaches to the Network Science of Teams Book

Computational Approaches to the Network Science of Teams


  • Author : Liangyue Li
  • Publisher : Cambridge University Press
  • Release Date : 2020-12-03
  • Genre: Business & Economics
  • Pages : 167
  • ISBN 10 : 9781108498548

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Computational Approaches to the Network Science of Teams Excerpt :

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

Computational Network Science Book

Computational Network Science


  • Author : Henry Hexmoor
  • Publisher : Morgan Kaufmann
  • Release Date : 2014-09-29
  • Genre: Computers
  • Pages : 118
  • ISBN 10 : 0128008911

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Computational Network Science Excerpt :

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

Network Models for Data Science Book

Network Models for Data Science


  • Author : Alan Julian Izenman
  • Publisher : Cambridge University Press
  • Release Date : 2022-11-30
  • Genre: Mathematics
  • Pages : 0
  • ISBN 10 : 1108835767

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Network Models for Data Science Excerpt :

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.

Network Science in Cognitive Psychology Book

Network Science in Cognitive Psychology


  • Author : Michael S. Vitevitch
  • Publisher : Routledge
  • Release Date : 2019-11-26
  • Genre: Psychology
  • Pages : 204
  • ISBN 10 : 9781000740684

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Network Science in Cognitive Psychology Excerpt :

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.

Introduction to Biological Networks Book

Introduction to Biological Networks


  • Author : Alpan Raval
  • Publisher : CRC Press
  • Release Date : 2016-04-19
  • Genre: Computers
  • Pages : 335
  • ISBN 10 : 9781420010367

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Introduction to Biological Networks Excerpt :

The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network bi

Computational Network Theory Book

Computational Network Theory


  • Author : Matthias Dehmer
  • Publisher : John Wiley & Sons
  • Release Date : 2015-05-04
  • Genre: Medical
  • Pages : 280
  • ISBN 10 : 9783527691548

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Computational Network Theory Excerpt :

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.