Publications

We follow an interdisciplinary publication strategy that targets key venues in data science, machine learning, and software engineering as well as journals in fields like information science, statistics, complex systems, or theoretical physics.

Our works have been published in conferences like SIGKDD, ICSE, MSR, Graph Drawing, and SIAM Data Mining, as well as in journals like Physical Review Letters, Nature Physics, Nature Communications, Scientometrics, Empirical Software Engineering, and EPJ Data Science.

Below, we only list the most recent publications. Please refer to the profile page of Prof. Scholtes to get an comprehensive overview of all past publications of the chair holder.

• Christoph Gote, Ingo Scholtes, Pavlin Mavrodiev, Frank Schweitzer
  Big Data = Big Insights? Operationalizing Brooks’ Law in a Massive GitHub Data Set
  To appear in Proceedings of the 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA, May 2022

• Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
  Sequential Motifs in Observed Walks
  preprint, December 2021, arXiv 2112.05642
   
• Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
  Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352)
  Dagstuhl Reports, Vol. 11, No. 7, pp. 139 -- 178, December 2021
   
• Unai Alvarez-Rodriguez, Luka Petrovic, Ingo Scholtes
  Inference of time-ordered multibody interactions
  preprint, November 2021, arXiv 2111.14611
   
• Christoph Gote, Ingo Scholtes and Frank Schweitzer
  Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net
  In Empirical Software Engineering, May 26, 2021
  [arXiv 1911.09484] [SpringerLink]
   
• Jürgen Hackl, Ingo Scholtes, Luka V Petrović, Vincenzo Perri, Luca Verginer, Christoph Gote
  Analysis and visualisation of time series data on networks with pathpy
  In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
   
• Vincenzo Perri and Ingo Scholtes
  Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis
  In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
   
• Luka Petrović and Ingo Scholtes
  PaCo: Fast Counting of Causal Paths in Temporal Network Data
  In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
  [arXiv 1905.11287]
   
• Yan Zhang, Antonios Garas and Ingo Scholtes
  Higher-order models capture changes in controllability of temporal networks
  In Journal of Physics: Complexity, Vol. 2, No. 1, January 29, 2021
  [DOI] [arXiv 1701.06331]

• Vincenzo Perri and Ingo Scholtes
  HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs
  In Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD 2020), Vancouver, BC, Canada, September 15-18, 2020
  [DOI] [arXiv 1908.05976] [DBLP BibTeX]
   
• Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad and Frank Schweitzer
  HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
  In Proceedings of SIAM International Conference on Data Mining (SDM 2020), May 7-9 2020
  [DOI] [DBLP BibTeX] [arXiv 1905.10580]
   
• Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
  Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders
  under review, July 2020
  [arXiv 2007.06662]
   
• Luka Petrović and Ingo Scholtes
  Learning the Markov order of paths in a network
  under review, July 2020
  [arXiv 2007.02861]

• Christoph Gote, Ingo Scholtes
  git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories
  In Proceedings of the 16th International Conference on Mining Software Repositories, MSR 2019, Montreal, QC, Canada, May 2019
  [MSR 2019 Website] [arXiv 1903.10180] [DBLP BibTeX] [Reproducibility repository]
   
• Renaud Lambiotte, Martin Rosvall, Ingo Scholtes
  From Networks to Optimal Higher-Order Models of Complex Systems
  In Nature Physics, Vol. 15, p. 313-320, March 25 2019