Veröffentlichungen:

Buchbeiträge

• Ball, Fabian und Geyer-Schulz, Andreas. Symmetry in Graph Clustering. In Porzio, Giovanni C., Greselin, Francesca und Balzona, Simona (eds.): Book of Short Papers of CLADAG 2019, Cassino, SIS Societa Italiena di Statistica (2019).
• Geyer-Schulz, Andreas und Ball, Fabian. Formal Diagnostics for Graph Clustering: TheRole of Graph Automorphisms (Extended Abstract). In Minerva, Tommaso, Morlini, Isabella und Palumbo, Francesco (eds.): CLADAG 2013 - Book of Abstracts, CLEUP (2013).

Artikel

• Ball, Fabian und Geyer-Schulz, Andreas. How Symmetric Are Real-World Graphs? A Large-Scale Study. Symmetry 10(1(29)), pp.1 - 17 (2018). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas. Invariant Graph Partition Comparison Measures. Symmetry 10(10), pp.1 - 24 (2018). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas. Symmetry-based graph clustering partition stability. Archives of Data Science, Series A 4(1), pp.1 - 21 (2018). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas . The Impact of Graph Symmetry on Clustering. Archives of Data Science, Series A (Online First) 5(1), pp.1 - 19 (2018). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas. Weak Invariants of Actions of the Automorphism Group of a Graph . Archives of Data Science, Series A 2(1), pp.123 - 144 (2017). [URL]
• Ball, Fabian, Hummel, Thomas P., Sonnenbichler, Andreas C. und Schweigert, Victoria-Anne. ThesesDB -- blended self-service and supervision of students' theses. EAI Endorsed Transactions on e-Learning 4(13), (2017). [URL]

Konferenzbandbeiträge

• Ball, Fabian, Hummel, Thomas P., Sonnenbichler, Andreas C. und Schweigert, Victoria-Anne. ThesesDB -- Single-Source of Information and Workflow Support for Students' Work. In Vincenti, Giovanni, Bucciero, Alberto, Helfert, Markus und Glowatz, Matthias (eds.): E-Learning, E-Education, and Online Training: Third International Conference, eLEOT 2016, Dublin, Ireland, August 31 -- September 2, 2016, Revised Selected Papers, Springer International Publishing, pp.125 - 134 (2017). [URL]

Technical Reports

• Ball, Fabian und Geyer-Schulz, Andreas. R-Package PartitionComparison. Technical Report Information Services and Electronic Markets, Institute of Information Systems and Marketing, Karlsruhe Institute of Technology (2017). [URL]

Doktor- und Masterarbeiten

• Ball, Fabian. Impact of Symmetries in Graph Clustering. (2019). [URL]
• Ball, Fabian. Graphautomorphismen und ihre Wirkung auf Partitionsvergleichsmaße. Masterarbeit Karlsruhe Institute of Technology. (2013).
• Ball, Fabian. Verteiltes Graphen-Clustering mit dem MapReduce Paradigma. Bachelorarbeit Institut für Informationswirtschaft- und management. (2011).

Vorträge

• Ball, Fabian und Geyer-Schulz, Andreas. Bounds for the Number of Partitions of a Graph. European Conference on Data Analysis 2019, Bayreuth (3/2019). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas. The Impact of Graph Symmetry on Clustering. European Conference on Data Analysis, Paderborn (7/2018). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas. Symmetry-based Graph Clustering Partition Stability. European Conference on Data Analysis, Wroclaw (9/2017).
• Ball, Fabian, Hummel, Thomas P., Sonnenbichler, Andreas C. und Schweigert, Victoria-Anne. ThesesDB -- Single-Source of Information and Workflow Support for Students’ Work. 3rd EAI International Conference on e-Learning e-Education and Online Training (ELEOT), Dublin, 2016-09-01 (9/2016).
• Ball, Fabian und Geyer-Schulz, Andreas. Weak Invariant Measures of an Action of the Automorphism Group of a Graph. European Conference on Data Analysis, Colchester (9/2015). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas. Learning Hierarchical Document Classifications from Recommender Graphs: An Application of Modularity Clustering. European Conference on Data Analysis, Bremen (7/2014). [URL]
• Geyer-Schulz, Andreas und Ball, Fabian. Cluster Evaluation and Graph Automorphisms: Problems of the Classic Measures. Joint Meeting of the German Mathematical Society (DMV) and the Polish Mathematical Society (PTM) (9/2014). [URL]
• Ball, Fabian und Geyer-Schulz, Andreas. On Detecting Hierarchical Cluster Structures in Large Networks. Joint Meeting of the German Mathematical Society (DMV) and the Polish Mathematical Society (PTM) (9/2014). [URL]