Computational Network Analysis with R

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  • Author : Matthias Dehmer
  • Publisher : John Wiley & Sons
  • Pages : 368 pages
  • ISBN : 3527694374
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Computational Network Analysis with R

Download or Read online Computational Network Analysis with R full in PDF, ePub and kindle. this book written by Matthias Dehmer and published by John Wiley & Sons which was released on 09 August 2016 with total page 368 pages. We cannot guarantee that Computational Network Analysis with R 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. 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.

Computational Network Analysis with R

Computational Network Analysis with R
  • Author : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
  • Publisher : John Wiley & Sons
  • Release : 09 August 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

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  • Publisher : Springer Science & Business Media
  • Release : 24 August 2010
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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

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  • 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

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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

Computational Network Theory

Computational Network Theory
  • Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl
  • Publisher : John Wiley & Sons
  • Release : 04 May 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 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

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  • Author : Edward L. Platt
  • Publisher : Unknown
  • 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

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  • Author : Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour
  • Publisher : Academic Press
  • Release : 16 November 2018
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Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling,

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  • Author : Byung-Jun Yoon,Xiaoning Qian
  • Publisher : Springer Nature
  • Release : 13 January 2021
GET THIS BOOK Recent Advances in Biological Network Analysis

This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network analysis and network module detection. The chapters in this volume are contributed by leading international researchers in computational network biology and offer in-depth insight on the latest techniques in network alignment, network clustering, and network module detection. Chapters discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances in Biological Network

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  • 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.

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  • 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,

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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

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Second International Conference on Networks and Advances in Computational Technologies
  • Author : Maurizio Palesi,Ljiljana Trajkovic,J. Jayakumari,John Jose
  • Publisher : Springer Nature
  • Release : 02 February 2021
GET THIS BOOK Second International Conference on Networks and Advances in Computational Technologies

This book presents the proceedings of the 2nd International Conference on Networks and Advances in Computational Technologies (NetACT19) which took place on July 23-25, 2019 at Mar Baselios College of Engineering and Technology in Thiruvananthapuram, India. The conference was in association with Bowie State University, USA, Gannon University, USA and Malardalen University, Sweden. Papers presented were included in technical programs that were part of five parallel tracks, namely Computer Application, Image Processing, Network Security, Hardware & Network Systems and Machine Learning. The

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  • Author : Catherine B. Cramer,Mason A. Porter,Hiroki Sayama,Lori Sheetz,Stephen Miles Uzzo
  • Publisher : Springer
  • Release : 22 October 2018
GET THIS BOOK Network Science In Education

Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity to (1) leverage new paradigms for understanding the structure and function of teaching and learning communities, and (2) to promote new approaches to developing methods, curricular materials, and resources. Network