東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Multilayer networks = analysis and v...

De Domenico, Manlio.

FindBook

Google Book

Amazon

博客來

Multilayer networks = analysis and visualization : introduction to muxViz with R /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multilayer networks/ by Manlio De Domenico.
其他題名:	analysis and visualization : introduction to muxViz with R /
作者:	De Domenico, Manlio.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xxxi, 105 p. :ill., digital ;24 cm.
內容註:	Part 1. Multilayer Network Science: Analysis and Visualization -- 1. Introduction -- 2. Multilayer Networks: Overview -- 3. Multilayer Analysis: Fundamentals and Micro-scale -- 4. Multilayer Versatility and Triads -- 5. Multilayer Organization: Meso-scale -- 6. Other Multilayer Analyses based on Dynamical Processes -- 7. Visualizing Multilayer Networks and Data -- Part 2. Appendices -- A. Installing and Using muxViz.
Contained By:	Springer Nature eBook
標題:	Information visualization. -
電子資源:	https://doi.org/10.1007/978-3-030-75718-2
ISBN:	9783030757182

Multilayer networks = analysis and visualization : introduction to muxViz with R /
De Domenico, Manlio.

Multilayer networksanalysis and visualization : introduction to muxViz with R /[electronic resource] :by Manlio De Domenico. - Cham :Springer International Publishing :2022. - xxxi, 105 p. :ill., digital ;24 cm.

Part 1. Multilayer Network Science: Analysis and Visualization -- 1. Introduction -- 2. Multilayer Networks: Overview -- 3. Multilayer Analysis: Fundamentals and Micro-scale -- 4. Multilayer Versatility and Triads -- 5. Multilayer Organization: Meso-scale -- 6. Other Multilayer Analyses based on Dynamical Processes -- 7. Visualizing Multilayer Networks and Data -- Part 2. Appendices -- A. Installing and Using muxViz.

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.

ISBN: 9783030757182

Standard No.: 10.1007/978-3-030-75718-2doiSubjects--Topical Terms:

615673
Information visualization.

LC Class. No.: QA76.9.I52 / D4 2022

Dewey Class. No.: 001.4226

Multilayer networks = analysis and visualization : introduction to muxViz with R /
LDR:03082nmm a2200325 a 4500 001 2298340
003 DE-He213
005 20220331213210.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030757182 $q (electronic bk.)
020 $a 9783030757175 $q (paper)
024 7 $a 10.1007/978-3-030-75718-2 $2 doi
035 $a 978-3-030-75718-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.I52 $b D4 2022
072 7 $a UKN $2 bicssc
072 7 $a COM075000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 001.4226 $2 23
090 $a QA76.9.I52 $b D299 2022
100 1 $a De Domenico, Manlio. $3 3594724
245 1 0 $a Multilayer networks $h [electronic resource] : $b analysis and visualization : introduction to muxViz with R / $c by Manlio De Domenico.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxxi, 105 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part 1. Multilayer Network Science: Analysis and Visualization -- 1. Introduction -- 2. Multilayer Networks: Overview -- 3. Multilayer Analysis: Fundamentals and Micro-scale -- 4. Multilayer Versatility and Triads -- 5. Multilayer Organization: Meso-scale -- 6. Other Multilayer Analyses based on Dynamical Processes -- 7. Visualizing Multilayer Networks and Data -- Part 2. Appendices -- A. Installing and Using muxViz.
520 $a 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.
650 0 $a Information visualization. $3 615673
650 0 $a Computer networks. $3 539554
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a IT in Business. $3 2114922
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Data and Information Visualization. $3 3538847
650 2 4 $a Complex Systems. $3 1566441
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-75718-2
950 $a Computer Science (SpringerNature-11645)