An Approach for Probabilistic Modeling and Reasoning of Voting Networks-Reference-Cited by-同舟云学术

An Approach for Probabilistic Modeling and Reasoning of Voting Networks

Published:2023 Issue: Volume: Page:90-104
ISSN:0302-9743
Container-title:Computational Science – ICCS 2023
language:
Short-container-title:

Author:

Cardoso Douglas O.^ORCID,Lima Willian P. C.^ORCID,Silva Guilherme G. V. L.,Assis Laura S.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36024-4_7

Reference35 articles.

1. Agarwal, R., Dhar, V.: Editorial-Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research. Inform. Syst. Res. 25(3), 443–448 (Sep 2014). https://doi.org/10.1287/isre.2014.0546, https://pubsonline.informs.org/doi/10.1287/isre.2014.0546

2. Andris, C., Lee, D., Hamilton, M.J., Martino, M., Gunning, C.E., Selden, J.A.: The rise of partisanship and super-cooperators in the u.s. house of representatives. PLoS One 10(4), 127–144 (2016). https://doi.org/doi.org/10.1371/journal.pone.0123507

3. Atzmueller, M.: Towards socio-technical design of explicative systems: Transparent, interpretable and explainable analytics and its perspectives in social interaction contexts information. In: Nalepa, G.J., Ferrández, J.M., Palma-Méndez, J.T., Julián, V. (eds.) Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019), Universidad Politécnica de Cartagena, Spain, November 11–12, 2019. CEUR Workshop Proceedings, vol. 2609. CEUR-WS.org (2019)

4. Barrat, A., Barthelemy, M., Pastor-Satorras, R., Vespignani, A.: The architecture of complex weighted networks. Proc. Natl. Acad. Sci. 101(11), 3747–3752 (2004)

5. Borgatti, S.P., Everett, M.G.: A graph-theoretic perspective on centrality. Soc. Netw. 28(4), 466–484 (2006). https://doi.org/10.1016/j.socnet.2005.11.005