Investigating scientific collaboration networks in Iraq using cloud computing and data mining

Investigating scientific collaboration networks in Iraq using cloud computing and data mining

The academic performance of Iraqi authors and institutions is an important aspect that
needs to be investigated in the field of research. Special scientific criteria establish a
researcher's level. These include citations, published articles, and others. In this study,
the aim is to analyze the academic performance patterns of Iraqi authors and institutions
in Google Scholar. Collaboration patterns between Iraqi scientists and universities were
explored using sophisticated data collection and analysis techniques. A crawler that
worked in parallel with Google Scholar was created with SerpApi, thus collecting
amounts of scientist profile data stored in MongoDB Atlas. The data were processed
using Spark within the Amazon Web Services (AWS) Cloud. Complex network analysis
and Cytoscape software were used to comprehensively investigate the co-authorship
networks of Iraqi scientists. In addition, a set of complex network criteria was applied to
reveal patterns of cooperation. After visualizing the network diagram and analyzing the
relationships between the nodes, the virtual nodes and communities in the network were
identified, revealing critical insights into the cooperation patterns of Iraqi scientists and
universities. The results have important implications for research and development
policies in Iraq and demonstrate the power of complex network analysis to reveal
valuable insights into academic research collaboration.