Developing Epidemiological Models with Differentiated Infected Intensity

Author:

Yousefi NiloofarORCID,Agarwal NitinORCID,Addai EmmanuelORCID

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Shajari, S., Alassad, M., Agarwal, N.: Characterizing suspicious commenter behaviors. In: Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, pp. 631–635 (2023). https://doi.org/10.1145/3625007.3627309

2. Shaik, M., Yousefi, N., Agarwal, N., Spann, B.: Evaluating role of instagram’s multimedia in connective action leveraging diffusion of innovation and cognitive mobilization theories: Brazilian and peruvian social unrest case studies. In: Proceedings of 2023 10th International Conference on Behavioural and Social Computing (BESC), pp. 1–6 (2023). IEEE (2023). https://doi.org/10.1109/BESC59560.2023.10386436

3. Shajari, S., Agarwal, N., Alassad, M.: Commenter behavior characterization on youtube channels. In: Proceedings of the eKNOW International Conference on Information, Process, and Knowledge Management, Venice Italy, pp. 59–64 (2023)

4. DiCicco, K., Noor, N.B., Yousefi, N., Maleki, M., Spann, B., Agarwal, N.: Toxicity and networks of COVID-19 discourse communities: a tale of two social media platforms. In Proceedings of the 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval 2023, co-located with The 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, 2–6 April 2023, pp 30–42 (2023). ISSN (1613), p. 0073. http://ceur-ws/

5. Noor, N.B., Yousefi, N., Spann, B., Agarwal, N.: Comparing toxicity across social media platforms for COVID-19 discourse. In: Proceedings of the Ninth International Conference on Human and Social Analytics, pp. 21–26 (2023)

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