Influencer Detection Through Social Network Analysis on Twitter of the Indonesian Smartphone Industry
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1912-3_9
Reference20 articles.
1. Wibisono AI, Ruldeviyani Y (2021) Detecting social media influencers of airline services through social network analysis on twitter: a case study of the Indonesian airline industry. In: 3rd East Indonesia conference on computer and information technology (EIConCIT 2021), pp 314–319. https://doi.org/10.1109/EIConCIT50028.2021.9431876
2. Prado-Romero MA, Oliva AF, Hernández LG (2018) Identifying twitter users influence and open mindedness using anomaly detection. In: Hernández Heredia Y, Milián Núñez V, Ruiz Shulcloper J (eds) Progress in artificial intelligence and pattern recognition. IWAIPR 2018. LNCS, vol 11047. Springer, Cham. https://doi.org/10.1007/978-3-030-01132-1_19
3. Majeed S, Qamar U, Farooq A (2019) State of art techniques for social influence analysis: a systematic literature review. In: Proceedings. - 2018 international conference on frontiers information technology. FIT 2018, pp 200–205. https://doi.org/10.1109/FIT.2018.00042
4. Oueslati W, Arrami SA, Dhouioui Z, Massaabi M (2021) Opinion leaders’ detection in dynamic social networks. Concurr Comput Pract Exp 33(1):1–17. https://doi.org/10.1002/cpe.5692
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