Publications of D. Barkoczi

Journal Article (4)

2022
Journal Article
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
2020
Journal Article
Giannoccaro, I., Galesic, M., Massaria, G. F., Barkoczi, D., & Carbone, G. (2020). Search behavior of individuals working in teams: A behavioral study on complex landscapes. Journal of Business Research, 118, 507–516. https://doi.org/10.1016/j.jbusres.2019.10.045
2018
Journal Article
Galesic, M., Barkoczi, D., & Katsikopoulos, K. V. (2018). Smaller crowds outperform larger crowds and individuals in realistic task conditions. Decision, 5(1), 1–15. https://doi.org/10.1037/dec0000059
2016
Journal Article
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

Book Chapter (1)

2022
Book Chapter
Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Indirect causal influence of a single bot on opinion dynamics through a simple recommendation slgorithm. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex networks & their applications X: Vol. 2. Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (pp. 28–41). Springer.

Conference Paper (3)

2020
Conference Paper
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
2016
Conference Paper
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.
2015
Conference Paper
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.

Working Paper (2)

2015
Working Paper
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.
Working Paper
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.
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