An action–reaction influence model relying on OSN user-generated content
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-023-01833-6.pdf
Reference94 articles.
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2. Ali J, Babaei M, Chakraborty A, Mirzasoleiman B, Gummadi KP, Singla A (2022) On the fairness of time-critical influence maximization in social networks (extended abstract). In: 2022 IEEE 38th international conference on data engineering (ICDE), pp 1541–1542. https://doi.org/10.1109/ICDE53745.2022.00147
3. Alshahrani M, Fuxi Z, Sameh A, Mekouar S, Huang S (2020) Efficient algorithms based on centrality measures for identification of top-k influential users in social networks. Inf Sci 527:88–107. https://doi.org/10.1016/j.ins.2020.03.060
4. Alshahrani M, Fuxi Z, Sameh A, Mekouar S, Liu S (2019) Influence maximization based global structural properties: a multi-armed bandit approach. IEEE Access 7:69707–69747. https://doi.org/10.1109/ACCESS.2019.2917123
5. Amato F, Castiglione A, Moscato V, Picariello A, Sperlì G (2018) Multimedia summarization using social media content. Multimed Tools Appl 77(14):17803–17827. https://doi.org/10.1007/s11042-017-5556-2
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