Computational Network Science

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  • Author : Henry Hexmoor
  • Publisher : Morgan Kaufmann
  • Pages : 128 pages
  • ISBN : 0128011564
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Computational Network Science

Download or Read online Computational Network Science full in PDF, ePub and kindle. this book written by Henry Hexmoor and published by Morgan Kaufmann which was released on 23 September 2014 with total page 128 pages. We cannot guarantee that Computational Network Science book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 Science

Computational Network Science
  • Author : Henry Hexmoor
  • Publisher : Morgan Kaufmann
  • Release : 23 September 2014
GET THIS BOOK Computational Network Science

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

Network Science

Network Science
  • Author : Albert-László Barabási
  • Publisher : Cambridge University Press
  • Release : 21 July 2016
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Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.

Network Science and Cybersecurity

Network Science and Cybersecurity
  • Author : Robinson E. Pino
  • Publisher : Springer Science & Business Media
  • Release : 14 June 2013
GET THIS BOOK Network Science and Cybersecurity

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

Network Science

Network Science
  • Author : Ernesto Estrada,Maria Fox,Desmond J. Higham,Gian-Luca Oppo
  • Publisher : Springer Science & Business Media
  • Release : 24 August 2010
GET THIS BOOK Network Science

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

Computational Network Analysis with R

Computational Network Analysis with R
  • Author : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
  • Publisher : John Wiley & Sons
  • Release : 12 December 2016
GET THIS BOOK Computational Network Analysis with R

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

Network Science with Python and NetworkX Quick Start Guide

Network Science with Python and NetworkX Quick Start Guide
  • Author : Edward L. Platt
  • Publisher : Packt Publishing Ltd
  • Release : 26 April 2019
GET THIS BOOK Network Science with Python and NetworkX Quick Start Guide

Manipulate and analyze network data with the power of Python and NetworkX Key Features Understand the terminology and basic concepts of network science Leverage the power of Python and NetworkX to represent data as a network Apply common techniques for working with network data of varying sizes Book Description NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect

Computational Network Theory

Computational Network Theory
  • Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl
  • Publisher : John Wiley & Sons
  • Release : 02 November 2015
GET THIS BOOK Computational Network Theory

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are important tools 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

Complex Networks Their Applications VI

Complex Networks   Their Applications VI
  • Author : Chantal Cherifi,Hocine Cherifi,Márton Karsai,Mirco Musolesi
  • Publisher : Springer
  • Release : 24 November 2017
GET THIS BOOK Complex Networks Their Applications VI

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

Network Science in Cognitive Psychology

Network Science in Cognitive Psychology
  • Author : Michael S. Vitevitch
  • Publisher : Routledge
  • Release : 26 November 2019
GET THIS BOOK Network Science in Cognitive Psychology

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

3rd International Winter School and Conference on Network Science

3rd International Winter School and Conference on Network Science
  • Author : Erez Shmueli,Baruch Barzel,Rami Puzis
  • Publisher : Springer
  • Release : 02 May 2017
GET THIS BOOK 3rd International Winter School and Conference on Network Science

This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on

Computational Social Networks

Computational Social Networks
  • Author : Ajith Abraham,Aboul-Ella Hassanien
  • Publisher : Springer Science & Business Media
  • Release : 28 June 2012
GET THIS BOOK Computational Social Networks

This book is the first of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on practical tools, applications, and open avenues for further research (the other two volumes review issues of Security and Privacy, and Mining and Visualization in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage

Temporal Network Theory

Temporal Network Theory
  • Author : Petter Holme,Jari Saramäki
  • Publisher : Springer Nature
  • Release : 29 October 2019
GET THIS BOOK Temporal Network Theory

This book focuses on the theoretical side of temporal network research and gives an overview of the state of the art in the field. Curated by two pioneers in the field who have helped to shape it, the book contains contributions from many leading researchers. Temporal networks fill the border area between network science and time-series analysis and are relevant for the modeling of epidemics, optimization of transportation and logistics, as well as understanding biological phenomena. Network theory has proven,

Network Science Nonlinear Science and Infrastructure Systems

Network Science  Nonlinear Science and Infrastructure Systems
  • Author : Terry L. Friesz
  • Publisher : Springer Science & Business Media
  • Release : 10 June 2007
GET THIS BOOK Network Science Nonlinear Science and Infrastructure Systems

This book is written by leading scholars in Network Science, Nonlinear Science and Infrastructure Systems, expressly to develop common theoretical underpinnings for better solutions to modern infrastructural problems. The book is dedicated to the formulation of infrastructural tools that will better solve problems from transportation networks to telecommunications, Internet, supply chains and more.