Toward a New Recursive Model to Measure Influence in Subscription Social Networks: A Case Study Using Twitter

Author:

Loucif Hemza,Akhrouf Samir

Publisher

Springer International Publishing

Reference12 articles.

1. Afrasiabi-Rad, A., Benyoucef, M.: Towards detecting influential users in social networks. In: Revised Selected Papers of the 5th International Conference on E-Technologies: Transformation in a Connected World, Les Diablerets, Switzerland, pp. 227–240 (2011)

2. Essaidi, A., Zaidouni, D., Bellafkih, M.: New method to measure the influence of Twitter users. In: 2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS), pp. 1–5 (2020). https://doi.org/10.1109/ICDS50568.2020.9268726

3. Khalid, H.: Systematic literature review on social network analysis. In: 2019 International Conference on Innovative Computing (ICIC), pp. 1–7 (2019). https://doi.org/10.1109/ICIC48496.2019.8966673

4. Loucif, H., Boubetra, A., Akrouf, S.: New recursive model for ranking web users in Facebook based on their social influence. In: Proceedings of the 3rd International Conference on Software Engineering and New Technologies ICSENT – 2014, Hammamet, Tunisia, pp. 20–22 (2014)

5. Loucif, H., Boubetra, A., Akrouf, S.: A simplistic model for identifying prominent web users in directed multiplex social networks: a case study using Twitter networks. New Rev Hypermed Multimed J. 22, 4 (2015)

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