Computational Network Science

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Computational Network Science

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Author : Henry Hexmoor
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-09-23

Computational Network Science written by Henry Hexmoor and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-23 with Computers categories.

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 Science

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Author : Ted G. Lewis
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20

Network Science written by Ted G. Lewis 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 2011-09-20 with Computers categories.

A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.

Computational Network Theory

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Author : Matthias Dehmer
language : en
Publisher: Wiley-Blackwell
Release Date : 2015

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

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 homogenous style, this reference is equally suitable for courses on computational networks and special aspects of complex network analysis and operations research.

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.

Computational Approaches To The Network Science Of Teams

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Author : Liangyue Li
language : en
Publisher: Cambridge University Press
Release Date : 2020-12-03

Computational Approaches To The Network Science Of Teams written by Liangyue Li and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with Business & Economics categories.

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

A First Course In Network Science

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Author : Filippo Menczer
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-30

A First Course In Network Science written by Filippo Menczer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Business & Economics categories.

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

The Mind Gut Immune Connection

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Author : Emeran Mayer
language : en
Publisher: HarperCollins
Release Date : 2023-11-07

The Mind Gut Immune Connection written by Emeran Mayer and has been published by HarperCollins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-07 with Health & Fitness categories.

Cutting-edge neuroscience combines with the latest discoveries on the human microbiome to inform this practical guide that proves once and for all the inextricable, biological link between mind and body. We have all experienced the connection between our mind and our gut—the decision we made because it “felt right;” the butterflies in our stomach before a big meeting; the anxious stomach rumbling when we’re stressed out. While the dialogue between the gut and the brain has been recognized by ancient healing traditions, including Aryuvedic and Chinese medicine, Western medicine has failed to appreciate the complexity of how the brain, gut, and more recently, the microbiome—the microorganisms that live inside us—communicate with one another. In The Mind-Gut Connection, Dr. Emeran Mayer, Executive Director of the UCLA Center for Neurobiology of Stress, offers a revolutionary look at this developing science, teaching us how to harness the power of the mind-gut connection to take charge of our health. The Mind-Gut Connection, shows how to keep the communication brain-gut communication clear and balanced to: • Heal the gut by focusing on a plant-based diet • Balance the microbiome by consuming fermented foods and probiotics, fasting, and cutting out sugar and processed foods • Promote weight loss by detoxifying and creating a healthy digestion and maximum nutrient absorption • Boost immunity and prevent the onset of neurological diseases such as Parkinson’s and Alzheimer’s • Generate a happier mindset and reduce fatigue, moodiness, anxiety, and depression • Prevent and heal GI disorders such as leaky gut syndrome; food sensitivities and allergies; and IBS; as well as digestive discomfort such as heartburn and bloating • And much more. Supplemental enhancement PDF accompanies the audiobook.

Computational Techniques For Inferring Regulatory Networks

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Author : Irene M. Ong
language : en
Publisher:
Release Date : 2007

Computational Techniques For Inferring Regulatory Networks written by Irene M. Ong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Computing And Combinatorics

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Author :
language : en
Publisher:
Release Date : 2005

Computing And Combinatorics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Combinatorial analysis categories.

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.