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Journals / Bilgisayar Bilimleri / 2021 / Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special Özel Sayı

Detection of Trusted and Untrusted Individuals in Social Networks

Sosyal Ağlarda Güvenilir ve Güvenilmez Bireylerin Tespit Edilmesi

Esra Karadeniz Köse(INONU UNIVERSITY)0000-0002-7369-7211
Ali Karci(INONU UNIVERSITY)0000-0002-8489-8617
Pages
341–346
Publication Date
2021-10-20
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Thanks to this determination, it has been possible to ensure the security of the network and to strengthen the ties with the trusted structures by taking the necessary measures for the untrustworthy structures in the network with the predicted confidence inferences.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Identification of trusted users or information source in social networks is one of the most important needs for reasons such as data security and privacy.
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Key Findings & Data:In this study, the social network is modeled as a graph.
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Conclusion & Impact:Thanks to this determination, it has been possible to ensure the security of the network and to strengthen the ties with the trusted structures by taking the necessary measures for the untrustworthy structures in the network with the predicted confidence inferences.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:sosyal ağlar · güven · sosyal ağ analizi

Abstract

Identification of trusted users or information source in social networks is one of the most important needs for reasons such as data security and privacy. In this study, the social network is modeled as a graph. Trusted and untrusted individuals in the network have been determined with the principle that if the nodes have common neighbors, these nodes are similar. Thanks to this determination, it has been possible to ensure the security of the network and to strengthen the ties with the trusted structures by taking the necessary measures for the untrustworthy structures in the network with the predicted confidence inferences.

Özet

Sosyal ağlarda güvenilir kullanıcılar veya bilgi kaynağının tespiti, bilgilerin güvenliği ve gizliliği nedeniyle birincil gereksinimlerden biridir. Bu çalışmada sosyal ağ bir çizge olarak modellenmiştir. Ağdaki güvenilir ve güvenilmeyen bireyler, düğümlerin ortak komşuları varsa bu düğümler benzerdir ilkesiyle belirlenmiştir. Bu tespit sayesinde öngörülen güven çıkarımları ile ağdaki güvenilmez yapılar için gerekli tedbirler alınarak ağın güvenliğinin sağlanmasına ve güvenilen yapılarla bağların kuvvetlendirilmesine imkan tanınmıştır.

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Cite This Article

Köse, E. K., Karci, A. (2021). Detection of Trusted and Untrusted Individuals in Social Networks. Bilgisayar Bilimleri, Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special Özel Sayı, 341–346. https://doi.org/10.53070/bbd.990790

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