My research is focused on the development and integration of algorithms for community detection, ranking and recommendations into collaborative tagging systems. Further topics of interest include citation and link analysis, entity matching and resolution, and social network analysis.
Furthermore, I am leading the development of our own system, BibSonomy, which is used as test-bed for our methods and results.
Auf der Plattform handbuch.io des Open Science Lab der TIB Hannover schrieben vor und während der CeBIT 2014 in einem Book Sprint 15 eingeladene Expertinnen und Experten, viele davon aus dem Leibniz Forschungsverbund Science 2.0, das Handbuch CoScience - Gemeinsam forschen und publizieren mit dem Netz.
1st Part: "Prof. Bruns, Prof. Burguess & Dr. Woodford: Mapping Online Publics: New Methods for Twitter Research"
2nd Part: "Robert Jäschke: Identifying and Analyzing Researchers on Twitter"
M. Stubbemann, T. Hanika, and G. Stumme. Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings, volume 12080 of Lecture Notes in Computer Science, page 496--508. Springer, (2020)
M. Stubbemann, and G. Stumme. Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, volume 14171 of Lecture Notes in Computer Science, page 177--192. Springer, (2023)