Abstract
Purpose
The purpose of this paper is to propose a structured multilevel system that will distinguish the anomalies present in different online social networks (OSN).
Design/methodology/approach
Author first reviewed the related work, and then, the research model designed was explained. Furthermore, the details regarding Levels 1 and 2 were narrated.
Findings
By using the proposed technique, FScore obtained for Twitter and Facebook data set was 96.22 and 94.63, respectively.
Research limitations/implications
Four data sets were used for the experiment and the acquired outcomes demonstrate enhancement over the current existing frameworks.
Originality/value
This paper designed a multilevel framework that can be used to detect the anomalies present in the OSN.
Subject
Library and Information Sciences,Information Systems
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