Multilayer Networks: Analysis and Visualization: Introduction to Muxviz with R
暫譯: 多層網絡：分析與可視化：使用 R 介紹 Muxviz

de Domenico, Manlio

Multilayer Networks: Analysis and Visualization: Introduction to Muxviz with R
  • 出版商: Springer
  • 出版日期: 2022-04-01
  • 售價: $6,250
  • 貴賓價: 9.5 折 $5,938
  • 語言: 英文
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303075717X
  • ISBN-13: 9783030757175

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

多層分析技術的採用正在各個知識領域迅速擴展，從社會科學（幾十年前最早面對此類結構的複雜性）到計算機科學，從生物學到工程學。然而，直到現在，尚未有一本書專門探討多層網絡的分析和可視化。《Multilayer Networks: Analysis and Visualization》提供了一個引導性的介紹，涵蓋了一個名為 muxViz 的最完整計算框架之一，並提供有關其理論基礎的入門資訊，重點放在分析方面。書中提供了數十個分析腳本和示例，展示如何通過圖形用戶界面或 R 腳本語言實際使用 muxViz 庫。

除了網絡科學領域的研究人員以及對網絡可視化和分析感興趣的實務工作者外，本書也將吸引那些沒有強大技術或計算機科學背景的研究人員，特別是人文學科、社會科學和生物學的研究者：這些受眾是書中案例研究的目標對象。其他跨學科的受眾包括計算機科學、物理學、神經科學、遺傳學、城市交通和工程學、數位人文學、社會科學和計算社會科學。

讀者將學習如何以非常實用的方式（即不專注於理論方面）使用社群開發的算法，這些算法已在免費和開源軟體 muxViz 中實現。書中使用的數據可在專門的（開放且免費）網站上獲得。

作者簡介

​Manlio De Domenico is a physicist and complexity scientists, currently a Senior Researcher at FBK (Italy) where he is also the director of the Complex Multilayer Networks Lab. He is the national coordinator of the Italian Chapter of the Complex Systems Society, Adjoint Professor of Network Science at University of Trento and Visiting Professor at Universitat Rovira i Virgili.

He is known for multilayer models intertwining human mobility, infectious disease spreading and other types of human dynamics such as awareness, bounded rationality, social segregation and integration. His research focuses on collective phenomena emerging from natural and artificial interdependent systems, with contributions to multiscale modeling and analysis of multilayer networks, their structure, dynamics, information capacity and resilience to shocks, finding applications in systems biology, systems medicine, computational social sciences, computational epidemiology and data-driven policy making.

For his works on the complexity of systems of systems and interdisciplinary applications he received the Young Scientist Award for Socio- and Econophysics from the German Physical Society (2020), the IUPAP Young Scientist Award on Statistical Physics from the IUPAP-C3 (2019), the USERN Prize in Formal Sciences from USERN (2017) and the Junior Scientific Award from the Complex Systems Society (2016).

 

作者簡介(中文翻譯)

**Manlio De Domenico** 是一位物理學家和複雜性科學家，目前擔任意大利 FBK 的高級研究員，並且是複雜多層網絡實驗室的主任。他是意大利複雜系統學會的全國協調員，特倫托大學的網絡科學副教授，以及羅維拉和維爾基大學的訪問教授。

他以多層模型聞名，這些模型交織了人類流動性、傳染病擴散以及其他類型的人類動態，如意識、有限理性、社會隔離和整合。他的研究專注於自然和人工相互依賴系統中出現的集體現象，對多尺度建模和多層網絡的分析做出了貢獻，涵蓋其結構、動態、信息容量和對衝擊的韌性，並在系統生物學、系統醫學、計算社會科學、計算流行病學和數據驅動的政策制定中找到應用。

因其在系統複雜性及跨學科應用方面的研究，他獲得了德國物理學會的社會物理學和經濟物理學青年科學家獎（2020年）、IUPAP-C3的統計物理學青年科學家獎（2019年）、USERN的正式科學USERN獎（2017年）以及複雜系統學會的青年科學獎（2016年）。

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