- We will send in 10–14 business days.
/images/books/13070511/9783319911946.jpg)
- Author: MiloS Savic
- Publisher: Springer
- Year: 2019
- Pages: 317
- ISBN-10: 3319911945
- ISBN-13: 9783319911946
- Format: 15.6 x 23.4 x 2.1 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Complex Networks in Software, Knowledge, and Social Systems (e-book) (used book) | bookbook.eu
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.20:19:03
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: MiloS Savic
- Publisher: Springer
- Year: 2019
- Pages: 317
- ISBN-10: 3319911945
- ISBN-13: 9783319911946
- Format: 15.6 x 23.4 x 2.1 cm, kieti viršeliai
- Language: English 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.
Reviews