Detecting Anomalous Twitter Users by Extreme Group Behaviors

Detecting Anomalous Twitter Users by Extreme Group Behaviors

Twitter has enjoyed tremendous popularity in the recent years. To help categorizing and search tweets, Twitter users assign hashtags to their tweets. Given that hashtag assignment is the primary way to semantically categorizing and search tweets, it is highly susceptible to abuse by spammers and oth...

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Bibliographic Details
Main Authors: DAI, Hanbo, Ee-peng LIM, ZHU, Feida, Hwee Hwa PANG
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Computer Sciences
Databases and Information Systems
Social Media
Online Access:https://ink.library.smu.edu.sg/sis_research/2909
https://ink.library.smu.edu.sg/context/sis_research/article/3909/viewcontent/C16___Detecting_Anomalous_Twitter_Users_by_Extreme_Group_Behaviors__NETSCI2012_.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/2909
https://ink.library.smu.edu.sg/context/sis_research/article/3909/viewcontent/C16___Detecting_Anomalous_Twitter_Users_by_Extreme_Group_Behaviors__NETSCI2012_.pdf

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