Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing 2017
DOI: 10.1145/3018896.3018942
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Graphic model analysis of frauds in online consumer reviews

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“…Song et al [68] examined two distinctive features of smallworld networks: the local clustering coefficient and the global characteristic path length. Their findings revealed that individuals within the fake review group exhibited lower friend counts and were more inclined to provide negative ratings, particularly with ratings of 1 or 2.…”
Section: Local Clustering Coefficient-based Modelmentioning
confidence: 99%
“…Song et al [68] examined two distinctive features of smallworld networks: the local clustering coefficient and the global characteristic path length. Their findings revealed that individuals within the fake review group exhibited lower friend counts and were more inclined to provide negative ratings, particularly with ratings of 1 or 2.…”
Section: Local Clustering Coefficient-based Modelmentioning
confidence: 99%