Enhanced Detection of Internet Water Army Based on Supernetwork Theory
D. Hamithra Jothi, T. Rajasenbagam M. E. · 2020
The hierarchy and the correct nature of the Internet has been strongly contaminated by the advent of the Internet water armies in recent years. The minute and intense identification and detection of such Internet water armies is an important task. On the basis of the Supernetwork theory, a new model is proposed in this paper that will be employed in the detection of water armies. In this model, a Supernetwork consisting of five layers including User subnetwork, Content subnetwork, Psychological subnetwork, Negative keyword subnetwork and Repeated keywords subnetwork. Literature survey is carried out on the evolution of such spammers over years. The performance of the model is tested with the dataset obtained from the online communication platform, Reddit. A comparative analysis is presented from five existing models of Internet water army detection that were introduced in previous studies.