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Results: 10
Number of items: 10
  • Open Access
    Valeeva, D. (2024). Global interlock ties of financial firms: insights from network analysis. Finance and Space, 1(1), 13-16. https://doi.org/10.1080/2833115X.2023.2284402
  • Open Access
    Törnberg, P., Valeeva, D., Uitermark, J., & Bail, C. (2023). Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2310.05984
  • Open Access
    Valeeva, D. (2023). Why don't we ever talk about education when we talk about computational social science? In Workshop Proceedings of the 17th International AAAI Conference on Web and Social Media: 5 June, 2023, Limassol, Cyprus (ICWSM Workshop Proceedings). Association for the Advancement of Artificial Intelligence. https://doi.org/10.36190/2023.13
  • Open Access
    Valeeva, D., Takes, F. W., & Heemskerk, E. M. (2022). Beaten paths towards the transnational corporate elite. International Sociology, 37(1), 97-123. https://doi.org/10.1177/02685809211051661
  • Open Access
    Valeeva, D. (2022). Where is the backbone of the transnational corporate elite? Global Networks, 22(3), 547-563. https://doi.org/10.1111/glob.12351
  • Open Access
    Babic, M., Huijzer, J., Garcia-Bernardo, J., & Valeeva, D. (2022). How does business power operate? A framework for its working mechanisms. Business and Politics, 24(2), 133–150. https://doi.org/10.1017/bap.2021.19
  • Open Access
    de Graaff, N., & Valeeva, D. (2021). Emerging Sino-European corporate elite networks. Development and Change, 52(5), 1147-1173. https://doi.org/10.1111/dech.12682
  • Open Access
    Valeeva, D. (2021). The transnational corporate elite network: Nature and properties. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Valeeva, D., Heemskerk, E. M., & Takes, F. W. (2020). The duality of firms and directors in board interlock networks: A relational event modeling approach. Social Networks, 62, 68-79. https://doi.org/10.1016/j.socnet.2020.02.009
  • Dokuka, S., Valeeva, D., & Yudkevich, M. (2017). Homophily Evolution in Online Networks: Who Is a Good Friend and When? In D. I. Ignatov, M. Y. Khachay, V. G. Labunets, N. Loukachevitch, S. I. Nikolenko, A. Panchenko, A. V. Savchenko, & K. V. Vorontsov (Eds.), Analysis of Images, Social Networks and Texts: 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016 : revised selected papers (pp. 91-99). (Communications in Computer and Information Science; Vol. 661). Springer. https://doi.org/10.1007/978-3-319-52920-2_9
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