Publikationen von D. Barkoczi

Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Bots influence opinion dynamics without direct human-bot interaction: The mediating role of recommender systems. Applied Network Science, 7, Article 46. https://doi.org/10.1007/s41109-022-00488-6

Barkoczi, D., & Galesic, M. (2016). Social learning strategies modify the effect of network structure on group performance. Nature Communications, 7, Article 13109. https://doi.org/10.1038/ncomms13109

Analytis, P. P., Barkoczi, D., Lorenz-Spreen, P., & Herzog, S. M. (2020). The structure of social influence in recommender networks. In Y. Huang, I. King, T.-Y. Liu, & M. van Steen (Eds.), WWW '20: Proceedings of The Web Conference 2020. Taipei, Taiwan - April 20-24, 2020 (pp. 2655–2661). International World Wide Web Conference Committee. https://doi.org/10.1145/3366423.3380020

Barkoczi, D., Analytis, P. P., & Wu, C. (2016). Collective search on rugged landscapes: A cross-environmental analysis. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 918–923). Cognitive Science Society.

Analytis, P. P., Barkoczi, D., & Herzog, S. M. (2015). You're special, but it doesn't matter if you're a greenhorn: Social recommender strategies for mere mortals. In R. Dale, C. Jennings, P. P. Maglio, T. Matlock, D. C. Noelle, A. Warlaumont, & J. Yoshimi (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 1799–1804). Cognitive Science Society.

Barkoczi, D. (2016). Ecological rationality of social learning [Doktorarbeit, Humboldt-Universität zu Berlin].

Barkoczi, D., & Galesic, M. (2015). Social learning strategies reconcile the relationship between network structure and collective problem solving (SFI Working Paper No. 2015-12-052). Santa Fe Institute.

Galesic, M., Barkoczi, D., & Katsikopoulos, K. V. (2015). Can small crowds be wise? Moderate-sized groups can outperform large groups and individuals under some task conditions (SFI Working Paper No. 2015-12-051). Santa Fe Institute.