Dynamics of the network economy: A content analysis of the search engine trends and correlate results using word clusters


Yaslioglu M. M.

International Journal of Data Analysis Techniques and Strategies, vol.12, pp.1-29, 2020 (Refereed Journals of Other Institutions) identifier

  • Publication Type: Article / Article
  • Volume: 12 Issue: 1
  • Publication Date: 2020
  • Doi Number: 10.1504/ijdats.2020.105162
  • Title of Journal : International Journal of Data Analysis Techniques and Strategies
  • Page Numbers: pp.1-29

Abstract

© 2020 Inderscience Enterprises Ltd.Network economy is a relatively untouched area, strategic approach to the dynamics of this new economy is quite limited. Network economy is about the networks. Thus, it was decided to follow up the information on the internet including almost every kind of documentation. First, a deep relation analysis using trends was conducted to find out the related topics to new economy's dynamics: network effect, network externalities, interoperability, big data, open standards and social media. After the relation analysis, correlates of aforementioned keywords were analysed. Finally, all the clean 'top results' on the web were collected by the help of Linux command line tools into various, large text files. These files were analysed by the help of Nvivo qualitative analysis tool to form clusters. By the broad information available at hand, an extensive discussion on each result is written. It is believed that this new research approach will also guide many future researches on various subjects.