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Complex networks in software, knowle...
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Savic, Milos.
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Complex networks in software, knowledge, and social systems
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Complex networks in software, knowledge, and social systems/ by Milos Savic, Mirjana Ivanovic, Lakhmi C. Jain.
作者:
Savic, Milos.
其他作者:
Ivanovic, Mirjana.
出版者:
Cham :Springer International Publishing : : 2019.,
面頁冊數:
xx, 317 p. :ill., digital ;24 cm.
內容註:
Introduction to Complex Networks -- Fundamentals of Complex Network Analysis -- Analysis of Software Networks -- Analysis of Ontology Networks -- Co-authorship Networks: An Introduction -- Extraction of Co-authorship Networks -- Analysis of Co-authorship Networks.
Contained By:
Springer eBooks
標題:
System theory. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-91196-0
ISBN:
9783319911960
Complex networks in software, knowledge, and social systems
Savic, Milos.
Complex networks in software, knowledge, and social systems
[electronic resource] /by Milos Savic, Mirjana Ivanovic, Lakhmi C. Jain. - Cham :Springer International Publishing :2019. - xx, 317 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1481868-4394 ;. - Intelligent systems reference library ;v.148..
Introduction to Complex Networks -- Fundamentals of Complex Network Analysis -- Analysis of Software Networks -- Analysis of Ontology Networks -- Co-authorship Networks: An Introduction -- Extraction of Co-authorship Networks -- Analysis of Co-authorship Networks.
This book provides a comprehensive review of complex networks from three different domains, presents novel methods for analyzing them, and highlights applications with accompanying case studies. Special emphasis is placed on three specific kinds of complex networks of high technological and scientific importance: software networks extracted from the source code of computer programs, ontology networks describing semantic web ontologies, and co-authorship networks reflecting collaboration in science. The book is primarily intended for researchers, teachers and students interested in complex networks and network data analysis. However, it will also be valuable for researchers dealing with software engineering, ontology engineering and scientometrics, as it demonstrates how complex network analysis can be used to address important research issues in these three disciplines.
ISBN: 9783319911960
Standard No.: 10.1007/978-3-319-91196-0doiSubjects--Topical Terms:
525574
System theory.
LC Class. No.: Q295 / .S285 2018
Dewey Class. No.: 003
Complex networks in software, knowledge, and social systems
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