Adaptive deep Q-learning model for detecting social bots and influential users in online social networks

In an online social network (like Twitter ), a botmaster (i.e., leader among a group of social bots) establishes a social relationship among legitimate participants to reduce the probability of social bot detection. Social bots generate fake tweets and spread malicious information by manipulating th...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2019-11, Vol.49 (11), p.3947-3964
Hauptverfasser:	Lingam, Greeshma, Rout, Rashmi Ranjan, Somayajulu, D. V. L. N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive learning Algorithms Artificial Intelligence Computer Science Experimentation Information dissemination Machine learning Machines Manufacturing Mechanical Engineering Processes Social networks Software agents Transition probabilities
Online-Zugang:	Volltext
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