Detection of influencers in social networks: A Survey
| Autor: | Ansam Ali AbdulAmeer, Muhammed Abaid Mahdi, Mahdi Abed Salman |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Kufa for Mathematics and Computer, Vol 10, Iss 1 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2076-1171 2518-0010 |
| DOI: | 10.31642/JoKMC/2018/100103 |
| Popis: | • 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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