List of Articles network science

• Open Access Article
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  1 - Application of Economic Complexity Theory in Industrial Policy Making
  انور خسروی Heirsh Soltanpanah
  10.30495/imj.2022.1968107.1800
  This study,, Application of Economic Complexity Theory in Industrial Policy Making, aims to study the economic growth process.Complex economics provides a powerful and universal tool for understanding key economic and social issues and related challenges. The basic idea More

  This study,, Application of Economic Complexity Theory in Industrial Policy Making, aims to study the economic growth process.Complex economics provides a powerful and universal tool for understanding key economic and social issues and related challenges. The basic idea is that economic growth and development, environmental sustainability, income inequality and spatial inequality are visible outcomes of latent systemic relationships. The study of economic complexity aims to understand the structure of these interactions and how various socioeconomic processes are formed. This emerging field relies heavily on machine learning and network science techniques. The purpose of this article is to examine the applications of economic complexity to its application in various fields, including industrial policy. The results of this survey show that over the past decade, despite some criticism, techniques for measuring economic complexity and related indicators have evolved into a well-known method for planning industrial policy at the international and national levels (states and cities).Keywords: Economic complexity, industrial policy, network science. Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - Application of Economic Complexity Theory in Industrial Policy Making
  Anvar Khosravi Heirsh Soltanpanah
  10.30495/imj.2022.695114
  Complex economics provides a powerful and universal tool for understanding key economic and social issues and related challenges. The basic idea is that economic growth and development, environmental sustainability, income inequality and spatial inequality are visible o More

  Complex economics provides a powerful and universal tool for understanding key economic and social issues and related challenges. The basic idea is that economic growth and development, environmental sustainability, income inequality and spatial inequality are visible outcomes of latent systemic relationships. The study of economic complexity aims to understand the structure of these interactions and how various socioeconomic processes are formed. This emerging field relies heavily on machine learning and network science techniques. The purpose of this article is to examine the applications of economic complexity to its application in various fields, including industrial policy. The results of this survey show that over the past decade, despite some criticism, techniques for measuring economic complexity and related indicators have evolved into a well-known method for planning industrial policy at the international and national levels (states and cities). Manuscript profile