2022
DOI: 10.1007/s13278-022-00862-3
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UACD: A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment

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Cited by 3 publications
(2 citation statements)
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“…Identifying the users who are most influential in spreading information can aid in the creation of effective tactics Adnan et al. ( 2022 ).…”
Section: Social Media Influence : Backgroundmentioning
confidence: 99%
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“…Identifying the users who are most influential in spreading information can aid in the creation of effective tactics Adnan et al. ( 2022 ).…”
Section: Social Media Influence : Backgroundmentioning
confidence: 99%
“…( 2021 ) Twitter Effectiveness and efficiency The Most Influential Spreaders spread of important information (highly beneficial or alarming if false content) UACD, a novel method combining both user-specific and topological information Adnan et al. ( 2022 ) Amazon EC2 Scalable and can process a very large network Critical nodes Whose removal reduced the flow of hate Analysed the graph characteristics then classified as containing evidence of hateful content Alorainy et al. ( 2022 ) A collected and large dataset Effectiveness …”
Section: Social Media Influence : Backgroundmentioning
confidence: 99%