Complex Networks in Software, Knowledge, and Social Systems

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Science & Nature, Technology
Cover of the book Complex Networks in Software, Knowledge, and Social Systems by Miloš Savić, Mirjana Ivanović, Lakhmi C. Jain, Springer International Publishing
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Author: Miloš Savić, Mirjana Ivanović, Lakhmi C. Jain ISBN: 9783319911960
Publisher: Springer International Publishing Publication: May 10, 2018
Imprint: Springer Language: English
Author: Miloš Savić, Mirjana Ivanović, Lakhmi C. Jain
ISBN: 9783319911960
Publisher: Springer International Publishing
Publication: May 10, 2018
Imprint: Springer
Language: English

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.

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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.

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