Suspicious trading in nonfungible tokens (NFTs)

Sifat, Imtiaz; Tariq, Syed Ahzam; van Donselaar, Denise

doi:10.1016/j.im.2023.103898

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2024

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Cited by 2 publications

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Unveiling the Paradox of NFT Prosperity

Huang,

Xia,

et al. 2024

Proceedings of the ACM on Web Conference 2024

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Unveiling the Paradox of NFT Prosperity

Huang,

Xia,

et al. 2024

Proceedings of the ACM on Web Conference 2024

View full text Add to dashboard Cite

Application of Graph Theory for Blockchain Technologies

Jayabalasamy,

Pujol,

Latha Bhaskaran

2024

Mathematics

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Blockchain technology, serving as the backbone for decentralized systems, facilitates secure and transparent transactional data storage across a distributed network of nodes. Blockchain platforms rely on distributed ledgers to enable secure peer-to-peer transactions without central oversight. As these systems grow in complexity, analyzing their topological structure and vulnerabilities requires robust mathematical frameworks. This paper explores applications of graph theory for modeling blockchain networks to evaluate decentralization, security, privacy, scalability and NFT Mapping. We use graph metrics like degree distribution and betweenness centrality to quantify node connectivity, identify network bottlenecks, trace asset flows and detect communities. Attack vectors are assessed by simulating adversarial scenarios within graph models of blockchain systems. Overall, translating blockchain ecosystems into graph representations allows comprehensive analytical insights to guide the development of efficient, resilient decentralized infrastructures.

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Suspicious trading in nonfungible tokens (NFTs)

Cited by 2 publications

References 59 publications

Unveiling the Paradox of NFT Prosperity

Unveiling the Paradox of NFT Prosperity

Application of Graph Theory for Blockchain Technologies

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