Detecting bots in social-networks using node and structural embeddings
Abstract Users on social networks such as Twitter interact with each other without much knowledge of the real-identity behind the accounts they interact with. This anonymity has created a perfect environment for bot accounts to influence the network by mimicking real-user behaviour. Although not all...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-07-01
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Series: | Journal of Big Data |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40537-023-00796-3 |