Graph Analysis of Citation and Co-authorship Networks of Egyptian Authors

TL;DR

This study analyzes citation and co-authorship networks of Egyptian authors to identify influential publications and assess scholarly impact using graph analysis tools and data from Semantic Scholar.

Contribution

It presents a comprehensive methodology for constructing and analyzing Egyptian authors' citation and co-authorship networks using Python and web scraping techniques.

Findings

Identified key influential Egyptian publications

Mapped central authors within the networks

Provided insights into scholarly influence of Egyptian researchers

Abstract

The current research conducts a comprehensive analysis of citation networks focusing on publications by authors affiliated with Egyptian institutions. Leveraging the Semantic Scholar platform and its API, a citation network and a co-authorship network graphs are constructed to visualize the interconnections among these publications and their authors. This is done using the Python package for graph analysis (Networkx). The primary objective is to identify influential Egyptian publications and assess the centrality of nodes within the citation network. Through meticulous data collection including web scraping techniques, we obtained a cleaned dataset comprising publications by authors affiliated with Egyptian institutions. The analysis addresses challenges related to data quality, technical intricacies, and time constraints, resulting in a reliable and robust dataset. The findings provide valuable information on the impact of Egyptian publications, offering insights into the scholarly influence of authors associated with Egyptian institutions. This research equips researchers and academics interested in evaluating the impact of Egyptian publications with valuable data for future studies, collaborations, and policy decisions.