Authorship Patterns in Computer Science Research in the Philippines
Jaderick P. Pabico

TL;DR
This study analyzes authorship patterns in Filipino computer science research from 2000 to 2010 using data mining and graph theory, revealing insights into collaboration, productivity, and authorship distribution.
Contribution
It applies graph theory and data mining to Filipino CS research archives, uncovering power-law distributions and collaboration patterns unique to the region.
Findings
Average of 2.64 authors per paper with a power-law distribution
Researcher productivity follows Lotka's law with an exponent of -1.88
Positive correlation (r=0.7425) between productivity and collaboration
Abstract
We studied patterns of authorship in computer science~(CS) research in the Philippines by using data mining and graph theory techniques on archives of scientific papers presented in the Philippine Computer Science Congresses from 2000 to 2010 involving 326~papers written by 605~authors. We inferred from these archives various graphs namely, a paper--author bipartite graph, a co-authorship graph, and two mixing graphs. Our results show that the scientific articles by Filipino computer scientists were generated at a rate of 33~papers per year, while the papers were written by an average of 2.64~authors (maximum=13). The frequency distribution of the number of authors per paper follows a power-law with a power of (). The number of Filipino CS researchers increases at an annual rate of 60~new scientists. The researchers have written an average of 1.42~papers…
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Taxonomy
TopicsComplex Network Analysis Techniques · Scientific Computing and Data Management · Bioinformatics and Genomic Networks
