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Computational Network Analysis With R


Computational Network Analysis With R
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Computational Network Analysis With R


Computational Network Analysis With R
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Author : Matthias Dehmer
language : en
Publisher: John Wiley & Sons
Release Date : 2016-07-22

Computational Network Analysis With R written by Matthias Dehmer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-22 with Medical categories.


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
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Author : Matthias Dehmer
language : en
Publisher:
Release Date : 2016

Computational Network Analysis With R written by Matthias Dehmer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with NATURE categories.


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.



Big Data Of Complex Networks


Big Data Of Complex Networks
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Author : Matthias Dehmer
language : en
Publisher: CRC Press
Release Date : 2016-08-19

Big Data Of Complex Networks written by Matthias Dehmer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-19 with Computers categories.


Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics. Key features: Provides a complete discussion of both the hardware and software used to organize big data Describes a wide range of useful applications for managing big data and resultant data sets Maintains a firm focus on massive data and large networks Unveils innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT – The Health and Life Sciences University, Austria, and the Universität der Bundeswehr München. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory. Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine. Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universität München. His research interests are in operations research, systems biology, graph theory and discrete optimization. Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.



Parameterized Algorithmics For Network Analysis Clustering Querying


Parameterized Algorithmics For Network Analysis Clustering Querying
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Author : Christian Komusiewicz
language : en
Publisher: Univerlagtuberlin
Release Date : 2011

Parameterized Algorithmics For Network Analysis Clustering Querying written by Christian Komusiewicz and has been published by Univerlagtuberlin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.




Computational Network Theory


Computational Network Theory
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Author : Matthias Dehmer
language : en
Publisher: John Wiley & Sons
Release Date : 2015-05-04

Computational Network Theory written by Matthias Dehmer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-04 with Medical categories.


Diese umfassende Einführung in die rechnergestützte Netzwerktheorie als ein Zweig der Netzwerktheorie baut auf dem Grundsatz auf, dass solche Netzwerke als Werkzeuge zu verstehen sind, mit denen sich durch die Anwendung rechnergestützter Verfahren auf große Mengen an Netzwerkdaten Hypothesen ableiten und verifizieren lassen. Ein Team aus erfahrenden Herausgebern und renommierten Autoren aus der ganzen Welt präsentieren und erläutern eine Vielzahl von repräsentativen Methoden der rechnergestützten Netzwerktheorie, die sich aus der Graphentheorie, rechnergestützten und statistischen Verfahren ableiten. Dieses Referenzwerk überzeugt durch einen einheitlichen Aufbau und Stil und eignet sich auch für Kurse zu rechnergestützten Netzwerken.



Network Science


Network Science
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Author : Francesca Biagini
language : en
Publisher: Springer Nature
Release Date : 2019-11-19

Network Science written by Francesca Biagini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-19 with Mathematics categories.


This book provides an overview of network science from the perspective of diverse academic fields, offering insights into the various research areas within network science. The authoritative contributions on statistical network analysis, mathematical network science, genetic networks, Bayesian networks, network visualisation, and systemic risk in networks explore the main questions in the respective fields: What has been achieved to date? What are the research challenges and obstacles? What are the possible interconnections with other fields? And how can cross-fertilization between these fields be promoted? Network science comprises numerous scientific disciplines, including computer science, economics, mathematics, statistics, social sciences, bioinformatics, and medicine, among many others. These diverse research areas require and use different data-analytic and numerical methods as well as different theoretical approaches. Nevertheless, they all examine and describe interdependencies, associations, and relationships of entities in different kinds of networks. The book is intended for researchers as well as interested readers working in network science who want to learn more about the field – beyond their own research or work niche. Presenting network science from different perspectives without going into too much technical detail, it allows readers to gain an overview without having to be a specialist in any or all of these disciplines.



Weighted Network Analysis


Weighted Network Analysis
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Author : Steve Horvath
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-30

Weighted Network Analysis written by Steve Horvath and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-30 with Science categories.


High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.



Introduction To Social Network Analysis With R


Introduction To Social Network Analysis With R
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Author : Michal Bojanowski
language : en
Publisher: John Wiley & Sons
Release Date : 2022-04-22

Introduction To Social Network Analysis With R written by Michal Bojanowski and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-22 with categories.


Introduction to Social Network Analysis with R provides an introduction to performing SNA studies using R, combining the theories of social networks and methods of social network analysis with the R environment as an open source system for statistical data analysis and graphics.



Network Analysis And Visualization In R


Network Analysis And Visualization In R
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Author : Alboukadel Kassambara
language : en
Publisher: STHDA
Release Date : 2017-11-26

Network Analysis And Visualization In R written by Alboukadel Kassambara and has been published by STHDA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-26 with Computers categories.


Social network analysis is used to investigate the inter-relationship between entities. Examples of network structures, include: social media networks, friendship networks and collaboration networks. This book provides a quick start guide to network analysis and visualization in R. You'll learn, how to: - Create static and interactive network graphs using modern R packages. - Change the layout of network graphs. - Detect important or central entities in a network graph. - Detect community (or cluster) in a network.



Annotated Bibliography Of The Literature On Resource Sharing Computer Networks


Annotated Bibliography Of The Literature On Resource Sharing Computer Networks
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Author : Helen M. Wood
language : en
Publisher:
Release Date : 1976

Annotated Bibliography Of The Literature On Resource Sharing Computer Networks written by Helen M. Wood and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Computer networks categories.