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Multilayer Social Networks

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Multilayer Social Networks

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Author : Mark E. Dickison
language : en
Publisher: Cambridge University Press
Release Date : 2016-07-19

Multilayer Social Networks written by Mark E. Dickison 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 2016-07-19 with Computers categories.

This book unifies and consolidates methods for analyzing multilayer networks arising from the social and physical sciences and computing.

Multilayer Social Networks

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Author : Mark E. Dickison
language : en
Publisher:
Release Date : 2016

Multilayer Social Networks written by Mark E. Dickison and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Social networks categories.

"This book covers the modeling, analysis and mining of systems made of multilayer social networks, from groups of individuals connected through different types of relationships to large systems of multiple online social network sites. A range of practical and theoretical topics are covered, from data collection, pre-processing, measuring and mining to theoretical models behind the evolution of interconnected social networks and dynamical processes like information spreading"--.

Big Data In Complex And Social Networks

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Author : My T. Thai
language : en
Publisher: CRC Press
Release Date : 2016-12-01

Big Data In Complex And Social Networks written by My T. Thai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Business & Economics categories.

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior. The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth.

Big Data In Complex And Social Networks

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Author : My T. Thai
language : en
Publisher: CRC Press
Release Date : 2016-12-01

Multilayer Networks

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Author : Ginestra Bianconi
language : en
Publisher: Oxford University Press
Release Date : 2018-06-07

Multilayer Networks written by Ginestra Bianconi and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-07 with Science categories.

Multilayer networks is a rising topic in Network Science which characterizes the structure and the function of complex systems formed by several interacting networks. Multilayer networks research has been propelled forward by the wide realm of applications in social, biological and infrastructure networks and the large availability of network data, as well as by the significance of recent results, which have produced important advances in this rapidly growing field. This book presents a comprehensive account of this emerging field. It provides a theoretical introduction to the main results of multilayer network science.

Modelling And Application Of Dynamical Multilayer Social Networks

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Author : 鍾露
language : en
Publisher:
Release Date : 2019

Modelling And Application Of Dynamical Multilayer Social Networks written by 鍾露 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic data processing categories.

Principles Of Social Networking

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Author : Anupam Biswas
language : en
Publisher: Springer Nature
Release Date : 2021-08-18

Principles Of Social Networking written by Anupam Biswas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-18 with Technology & Engineering categories.

This book presents new and innovative current discoveries in social networking which contribute enough knowledge to the research community. The book includes chapters presenting research advances in social network analysis and issues emerged with diverse social media data. The book also presents applications of the theoretical algorithms and network models to analyze real-world large-scale social networks and the data emanating from them as well as characterize the topology and behavior of these networks. Furthermore, the book covers extremely debated topics, surveys, future trends, issues, and challenges.

Visual Analysis Of Multilayer Networks

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Author : Fintan McGee
language : en
Publisher: Springer Nature
Release Date : 2022-06-01

Visual Analysis Of Multilayer Networks written by Fintan McGee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Mathematics categories.

The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity, and has also raised many new exciting challenges. The multilayer network model recognizes that the complexity of relationships between entities in real-world systems is better embraced as several interdependent subsystems (or layers) rather than a simple graph approach. Despite only recently being formalized and defined, this model can be applied to problems in the domains of life sciences, sociology, digital humanities, and more. Within the domain of network visualization there already are many existing systems, which visualize data sets having many characteristics of multilayer networks, and many techniques, which are applicable to their visualization. In this Synthesis Lecture, we provide an overview and structured analysis of contemporary multilayer network visualization. This is not only for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those solving problems within application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer network visualization, as well as tools, tasks, and analytic techniques from within application domains. We also identify the research opportunities and examine outstanding challenges for multilayer network visualization along with potential solutions and future research directions for addressing them.

Multilayer Networks Analysis And Visualization

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Author : Manlio De Domenico
language : en
Publisher: Springer Nature
Release Date : 2022-03-31

Multilayer Networks Analysis And Visualization written by Manlio De Domenico and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-31 with Computers categories.

The adoption of multilayer analysis techniques is rapidly expanding across all areas of knowledge, from social sciences (the first facing the complexity of such structures, decades ago) to computer science, from biology to engineering. However, until now, no book has dealt exclusively with the analysis and visualization of multilayer networks. Multilayer Networks: Analysis and Visualization provides a guided introduction to one of the most complete computational frameworks, named muxViz, with introductory information about the underlying theoretical aspects and a focus on the analytical side. Dozens of analytical scripts and examples to use the muxViz library in practice, by means of the Graphical User Interface or by means of the R scripting language, are provided. In addition to researchers in the field of network science, as well as practitioners interested in network visualization and analysis, this book will appeal to researchers without strong technical or computer science background who want to learn how to use muxViz software, such as researchers from humanities, social science and biology: audiences which are targeted by case studies included in the book. Other interdisciplinary audiences include computer science, physics, neuroscience, genetics, urban transport and engineering, digital humanities, social and computational social science. Readers will learn how to use, in a very practical way (i.e., without focusing on theoretical aspects), the algorithms developed by the community and implemented in the free and open-source software muxViz. The data used in the book is available on a dedicated (open and free) site.

Multilayer Social Networks

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