Abstract
Social media influencers have the power to influence others. Identifying influencers in online social networks is essential for various applications in many domains such as advertisement, community health campaigns, administrative science and politics. Detecting influencers on online social networks is achieved in accordance with specific criteria such as the number of subscribers, the number of interactions with them, the extent of people’s trust in them, etc. the present study encompasses differentmeasures such as application, techniques, dataset, factors, and dataset. Besides, a table summarising and illustrating the main ideas and approaches is given.
Cite
CITATION STYLE
Ali, A. (2023). Detection of influencers in social networks: A Survey. Journal of Kufa for Mathematics and Computer, 10(1), 18–26. https://doi.org/10.31642/jokmc/2018/100103
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