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Recognizing and Stopping Rumors Patterns in Social Networks
2017
Indian Journal of Science and Technology
Objectives: In this study, a proposed Colored Petri Net Model (CPNM) is used for recognizing and stopping rumors in Social Networks (SN). Methods/Analysis: Detecting and blocking rumors represent an open security issue in social networks. In response to this issue, the proposed CPNM is experimentally simulated on dataset consists of 863-newsworthy tweets collected from the trending topic #CharlieHebdo in Twitter. The performance of CPNM is analyzed and evaluated using Precision, Recall, and
doi:10.17485/ijst/2017/v10i28/113837
fatcat:tnkdzmatw5bafaxgaq4rucmwbe