Using graph embedding and machine learning to identify rebels on twitter
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DOI: 10.1016/j.joi.2020.101121
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- Wang, Yuzhuo & Zhang, Chengzhi, 2020. "Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing," Journal of Informetrics, Elsevier, vol. 14(4).
- Li, Daifeng & Ding, Ying & Shuai, Xin & Bollen, Johan & Tang, Jie & Chen, Shanshan & Zhu, Jiayi & Rocha, Guilherme, 2012. "Adding community and dynamic to topic models," Journal of Informetrics, Elsevier, vol. 6(2), pages 237-253.
- Dogan, Turgut & Uysal, Alper Kursat, 2020. "A novel term weighting scheme for text classification: TF-MONO," Journal of Informetrics, Elsevier, vol. 14(4).
- Adam Badawy & Emilio Ferrara, 2018. "The rise of Jihadist propaganda on social networks," Journal of Computational Social Science, Springer, vol. 1(2), pages 453-470, September.
- Muhammad Aslam Jarwar & Rabeeh Ayaz Abbasi & Mubashar Mushtaq & Onaiza Maqbool & Naif R. Aljohani & Ali Daud & Jalal S. Alowibdi & J.R. Cano & S. García & Ilyoung Chong, 2017. "CommuniMents: A Framework for Detecting Community Based Sentiments for Events," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 13(2), pages 87-108, April.
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Cited by:
- Muñoz, María M. & Rojas-de-Gracia, María-Mercedes & Navas-Sarasola, Carlos, 2022. "Measuring engagement on twitter using a composite index: An application to social media influencers," Journal of Informetrics, Elsevier, vol. 16(4).
- Miguel Won & Jorge M. Fernandes, 2022. "Analyzing Twitter networks using graph embeddings: an application to the British case," Journal of Computational Social Science, Springer, vol. 5(1), pages 253-263, May.
- Seyyed Reza Taher Harikandeh & Sadegh Aliakbary & Soroush Taheri, 2023. "An embedding approach for analyzing the evolution of research topics with a case study on computer science subdomains," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1567-1582, March.
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Keywords
Rebels; Social network analysis; User graph; Supervised Rebel Identification (SRI); Machine learning;All these keywords.
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