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For: Chen L, Deng H. Predicting User Retweeting Behavior in Social Networks With a Novel Ensemble Learning Approach. IEEE Access 2020;8:148250-148263. [DOI: 10.1109/access.2020.3015397] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Mastroeni L, Naldi M, Vellucci P. Who pushes the discussion on wind energy? An analysis of self-reposting behaviour on Twitter. Qual Quant 2022. [DOI: 10.1007/s11135-022-01448-z] [Reference Citation Analysis]
2 Sharma S, Gupta V. Role of twitter user profile features in retweet prediction for big data streams. Multimed Tools Appl. [DOI: 10.1007/s11042-022-12815-1] [Reference Citation Analysis]
3 Tran QM, Nguyen HD, Nguyen BT, Pham VT, Le TT. Influence Prediction on Social Media Network through Contents and Interaction Behaviors using Attention-based Knowledge Graph. 2021 13th International Conference on Knowledge and Systems Engineering (KSE) 2021. [DOI: 10.1109/kse53942.2021.9648712] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Liang H. Decreasing social contagion effects in diffusion cascades: Modeling message spreading on social media. Telematics and Informatics 2021;62:101623. [DOI: 10.1016/j.tele.2021.101623] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Horawalavithana S, Choudhury N, Skvoretz J, Iamnitchi A. Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit. Comput Math Organ Theory. [DOI: 10.1007/s10588-021-09340-1] [Reference Citation Analysis]