Detecting Malicious Users and Remove Rumors from Social Network
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2018-09-01 https://doi.org/10.14419/ijet.v7i3.34.19208
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Data mining, detection, malicious user, Reverse dissemination, social network. -
Abstract
Perceiving tattle sources in casual associations expect an essential part in obliging the damage caused by them through the timely disengage of the sources. In any case, the short lived assortment in the topology of casual associations and the advancing dynamic processes challenge our standard source recognizing confirmation strategies that are considered in static frameworks. We diminish the time-varying networks to a movement of static frameworks by introducing a period consolidating window. By then instead of looking at each individual in standard techniques, we grasp a rearrange dispersing framework to demonstrate a game plan of suspects of the certified talk source.
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References
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How to Cite
V.Manjula, D., Shanmuga Priya, M., Divyaprabha, V., & Jayasurya, S. (2018). Detecting Malicious Users and Remove Rumors from Social Network. International Journal of Engineering & Technology, 7(3.34), 283-286. https://doi.org/10.14419/ijet.v7i3.34.19208Received date: 2018-09-07
Accepted date: 2018-09-07
Published date: 2018-09-01