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Social fingerprinting - or the truth About you

Academic Article
Publication Date:
2016
abstract:
Inspired by biological DNA, we model the behaviour of online users as "Digital DNA" sequences, introducing a strikingly novel, simple, and effective approach to discriminate between genuine and spambot online accounts.
Iris type:
01.01 Articolo in rivista
Keywords:
Anomalies detection in Social Networks; social mining
List of contributors:
Petrocchi, Marinella; Tesconi, Maurizio; Cresci, Stefano
Authors of the University:
CRESCI STEFANO
PETROCCHI MARINELLA
TESCONI MAURIZIO
Handle:
https://iris.cnr.it/handle/20.500.14243/325108
Published in:
ERCIM NEWS
Journal
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