Searching for Research Fraud in OpenAlex with Graph Data Science

Explore a conference talk on using graph data science to detect research fraud in the OpenAlex dataset. Learn how Adam Day and Ebru Cucen leverage Neo4J hosted on Google Cloud Platform to analyze unusual co-authorships and potential misconduct in research paper authorship. Discover the process of examining a vast graph of data describing researchers, papers, institutions, and journals to identify organizations selling authorship slots. Gain insights into the first steps towards automated detection of research misconduct using graph database technology and data science techniques. Delve into the challenges and approaches for maintaining research integrity in the academic publishing landscape.