• Soziale Netzwerkanalyse
• Online Learning Communities
• Knowledge Creating Communities
• Data Science

Krukowski, S., Martínez-Martínez, F., & Hoppe, H. U. (in press). Differential characteristics and collaborative interactions of institutional and personal Twitter accounts in a citizen science context. Collaboration Technologies and Social Computing.

Krukowski, S., Martínez-Martínez, F., & Hoppe, H. U. (2023). Does Volunteer Engagement Pay Off? An Analysis of User Participation in Online Citizen Science Projects. In L.-H. Wong, Y. Hayashi, C. A. Collazos, C. Alvarez, G. Zurita, & N. Baloian (Eds.), Collaboration Technologies and Social Computing (pp. 67–82). Springer International Publishing. https://doi.org/10.1007/978-3-031-20218-6_5

Krukowski, S., & Hecking, T. (2021a). Global and local community memberships for estimating spreading capability of nodes in social networks. Applied Network Science, 6(1), 84. https://doi.org/10.1007/s41109-021-00421-3

Krukowski, S., & Hecking, T. (2021b). Using link clustering to detect influential spreaders. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex Networks & Their Applications IX (pp. 408–419). Springer International Publishing. https://doi.org/10.1007/978-3-030-65347-7_34

Schnaubert, L., Krukowski, S., & Bodemer, D. (2021). Assumptions and confidence of others: The impact of socio-cognitive information on metacognitive self-regulation. Metacognition and Learning, 16(3), 855–887. https://doi.org/10.1007/s11409-021-09269-5