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Computational Network Science

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Computational Network Analysis with R

Computational Network Analysis with R Book
Author : Matthias Dehmer,Yongtang Shi,Frank Emmert-Streib
Publisher : John Wiley & Sons
Release : 2016-08-09
ISBN : 3527694374
Language : En, Es, Fr & De

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Book Description :

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.

A First Course in Network Science

A First Course in Network Science Book
Author : Filippo Menczer,Santo Fortunato,Clayton A. Davis
Publisher : Cambridge University Press
Release : 2020-01-31
ISBN : 1108471137
Language : En, Es, Fr & De

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Book Description :

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

Computational Network Science

Computational Network Science Book
Author : Henry Hexmoor
Publisher : Morgan Kaufmann
Release : 2014-09-23
ISBN : 0128011564
Language : En, Es, Fr & De

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Book Description :

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 in Cognitive Psychology

Network Science in Cognitive Psychology Book
Author : Michael S. Vitevitch
Publisher : Routledge
Release : 2019-11-26
ISBN : 1000740684
Language : En, Es, Fr & De

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Book Description :

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.

Second International Conference on Networks and Advances in Computational Technologies

Second International Conference on Networks and Advances in Computational Technologies Book
Author : Maurizio Palesi
Publisher : Springer Nature
Release : 2021-09-26
ISBN : 3030495000
Language : En, Es, Fr & De

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Book Description :

Download Second International Conference on Networks and Advances in Computational Technologies book written by Maurizio Palesi, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Network Science

Network Science Book
Author : Ernesto Estrada,Maria Fox,Desmond J. Higham,Gian-Luca Oppo
Publisher : Springer Science & Business Media
Release : 2010-08-24
ISBN : 9781849963961
Language : En, Es, Fr & De

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Book Description :

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 of current activities and grand challenges in the unfolding field of network science.

Computational Network Theory

Computational Network Theory Book
Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl
Publisher : John Wiley & Sons
Release : 2015-04-28
ISBN : 3527691537
Language : En, Es, Fr & De

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Book Description :

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 with Python and NetworkX Quick Start Guide

Network Science with Python and NetworkX Quick Start Guide Book
Author : Edward L. Platt
Publisher : Unknown
Release : 2019-04-26
ISBN : 9781789955316
Language : En, Es, Fr & De

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Book Description :

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 key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use. If you're a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you'll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You'll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts. By the end of this book, you'll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems. What you will learn Use Python and NetworkX to analyze the properties of individuals and relationships Encode data in network nodes and edges using NetworkX Manipulate, store, and summarize data in network nodes and edges Visualize a network using circular, directed and shell layouts Find out how simulating behavior on networks can give insights into real-world problems Understand the ongoing impact of network science on society, and its ethical considerations Who this book is for If you are a programmer or data scientist who wants to manipulate and analyze network data in Python, this book is perfect for you. Although prior knowledge of network science is not necessary, some Python programming experience will help you understand the concepts covered in the book easily.

Computational Network Theory

Computational Network Theory Book
Author : Matthias Dehmer,Frank Emmert-Streib,Stefan Pickl
Publisher : John Wiley & Sons
Release : 2015-05-04
ISBN : 3527691545
Language : En, Es, Fr & De

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Book Description :

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.

Computational Approaches to the Network Science of Teams

Computational Approaches to the Network Science of Teams Book
Author : Liangyue Li,Hanghang Tong
Publisher : Cambridge University Press
Release : 2020-12-03
ISBN : 110849854X
Language : En, Es, Fr & De

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Book Description :

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

Social Network Analytics

Social Network Analytics Book
Author : Nilanjan Dey,Samarjeet Borah,Rosalina Babo,Amira S. Ashour
Publisher : Academic Press
Release : 2018-11-16
ISBN : 0128156414
Language : En, Es, Fr & De

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Book Description :

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, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains

Recent Advances in Biological Network Analysis

Recent Advances in Biological Network Analysis Book
Author : Byung-Jun Yoon,Xiaoning Qian
Publisher : Springer
Release : 2021-03-10
ISBN : 9783030571726
Language : En, Es, Fr & De

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Book Description :

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 Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights.

Network Science Nonlinear Science and Infrastructure Systems

Network Science  Nonlinear Science and Infrastructure Systems Book
Author : Terry L. Friesz
Publisher : Springer Science & Business Media
Release : 2007-06-10
ISBN : 0387711341
Language : En, Es, Fr & De

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Book Description :

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.

Temporal Network Theory

Temporal Network Theory Book
Author : Petter Holme,Jari Saramäki
Publisher : Springer Nature
Release : 2019-10-29
ISBN : 3030234959
Language : En, Es, Fr & De

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Book Description :

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, over the past 20 years to be one of the most powerful tools for the study and analysis of complex systems. Temporal network theory is perhaps the most recent significant development in the field in recent years, with direct applications to many of the "big data" sets. This monograph will appeal to students, researchers and professionals alike interested in theory and temporal networks, a field that has grown tremendously over the last decade.

Dynamics On and Of Complex Networks

Dynamics On and Of Complex Networks Book
Author : Niloy Ganguly,Andreas Deutsch,Animesh Mukherjee
Publisher : Springer Science & Business Media
Release : 2009-04-14
ISBN : 0817647503
Language : En, Es, Fr & De

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Book Description :

This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.

Computational Ecology

Computational Ecology Book
Author : Wenjun Zhang
Publisher : World Scientific
Release : 2012
ISBN : 9814343617
Language : En, Es, Fr & De

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Book Description :

Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such, this book is the first comprehensive treatment of the subject in the areas of ecology and environmental sciences. From this integrated and self-contained book, researchers, university teachers and students will be provided with an in-depth and complete insight on knowledge, methodology and recent advances of graphs, networks and agent-based-modeling in ecology and environmental sciences. Java codes and a standalone software package will be presented in the book for easy use for those not familiar with mathematical details.

Advanced Methods for Complex Network Analysis

Advanced Methods for Complex Network Analysis Book
Author : Meghanathan, Natarajan
Publisher : IGI Global
Release : 2016-04-07
ISBN : 1466699655
Language : En, Es, Fr & De

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Book Description :

As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization. Advanced Methods for Complex Network Analysis features the latest research on the algorithms and analysis measures being employed in the field of network science. Highlighting the application of graph models, advanced computation, and analytical procedures, this publication is a pivotal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.

Complex Networks VI

Complex Networks VI Book
Author : Giuseppe Mangioni,Filippo Simini,Stephen Miles Uzzo,Dashun Wang
Publisher : Springer
Release : 2015-03-14
ISBN : 3319161121
Language : En, Es, Fr & De

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Book Description :

Elucidating the spatial and temporal dynamics of how things connect has become one of the most important areas of research in the 21st century. Network science now pervades nearly every science domain, resulting in new discoveries in a host of dynamic social and natural systems, including: how neurons connect and communicate in the brain, how information percolates within and among social networks, the evolution of science research through co-authorship networks, the spread of epidemics and many other complex phenomena. Over the past decade, advances in computational power have put the tools of network analysis in the hands of increasing numbers of scientists, enabling more explorations of our world than ever before possible. Information science, social sciences, systems biology, ecosystems ecology, neuroscience and physics all benefit from this movement, which combines graph theory with data sciences to develop and validate theories about the world around us. This book brings together cutting-edge research from the network science field and includes diverse and interdisciplinary topics such as: modeling the structure of urban systems, behavior in social networks, education and learning, data network architecture, structure and dynamics of organizations, crime and terrorism, as well as network topology, modularity and community detection.

Networks of the Brain

Networks of the Brain Book
Author : Olaf Sporns
Publisher : MIT Press
Release : 2010-10-01
ISBN : 0262288923
Language : En, Es, Fr & De

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Book Description :

An integrative overview of network approaches to neuroscience explores the origins of brain complexity and the link between brain structure and function. Over the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject. Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research.

Complex Networks Their Applications V

Complex Networks   Their Applications V Book
Author : Hocine Cherifi,Sabrina Gaito,Walter Quattrociocchi,Alessandra Sala
Publisher : Springer
Release : 2016-11-25
ISBN : 3319509012
Language : En, Es, Fr & De

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Book Description :

This book highlights cutting-edge research in the field of network science, offering scientists, researchers and graduate students a unique opportunity to catch up on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the fifth International Workshop on Complex Networks & their Applications (COMPLEX NETWORKS 2016), which took place in Milan during the last week of November 2016. The carefully selected papers are divided into 11 sections reflecting the diversity and richness of research areas in the field. More specifically, the following topics are covered: Network models; Network measures; Community structure; Network dynamics; Diffusion, epidemics and spreading processes; Resilience and control; Network visualization; Social and political networks; Networks in finance and economics; Biological and ecological networks; and Network analysis.