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{ "item_title" : "Complex Networks in Software, Knowledge, and Social Systems", "item_author" : [" Milos Savic", "Mirjana Ivanovic", "Lakhmi C. Jain "], "item_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. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/991/194/3319911945_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Complex Networks in Software, Knowledge, and Social Systems|Milos Savic

Complex Networks in Software, Knowledge, and Social Systems

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Overview

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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Details

  • ISBN-13: 9783319911946
  • ISBN-10: 3319911945
  • Publisher: Springer
  • Publish Date: May 2018
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.44 pounds
  • Page Count: 317

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