HURI: Hybrid user risk identification in social networks Article Swipe

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Roberto Corizzo , Gianvito Pio , Emanuele Pio Barracchia , Antonio Pellicani , Nathalie Japkowicz , Michelangelo Ceci ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1007/s11280-023-01192-w

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Artificial Intelligence

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Computer science Identification (biology) Harassment Semantics (computer science) Block (permutation group theory) Social network (sociolinguistics) Computer security Social media Data mining Artificial intelligence World Wide Web Botany Law Mathematics Programming language Political science Geometry Biology

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s11280-023-01192-w
PDF: https://link.springer.com/content/pdf/10.1007/s11280-023-01192-w.pdf
OA Status: hybrid
Cited By: 5
References: 64
Related Works: 10
OpenAlex ID: https://openalex.org/W4385333457

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OpenAlex ID: https://openalex.org/W4385333457

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DOI: https://doi.org/10.1007/s11280-023-01192-w

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Title: HURI: Hybrid user risk identification in social networks

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-07-28

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Authors: Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci

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Landing page: https://doi.org/10.1007/s11280-023-01192-w

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PDF URL: https://link.springer.com/content/pdf/10.1007/s11280-023-01192-w.pdf

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Concepts: Computer science, Identification (biology), Harassment, Semantics (computer science), Block (permutation group theory), Social network (sociolinguistics), Computer security, Social media, Data mining, Artificial intelligence, World Wide Web, Botany, Law, Mathematics, Programming language, Political science, Geometry, Biology

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Cited by: 5

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Citations by year (recent): 2025: 2, 2024: 1, 2023: 2

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References (count): 64

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Related works (count): 10

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