Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hanjo D. Boekhout"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In this work we focus on identifying key players in dark net cryptomarkets that facilitate online trade of illegal goods. Law enforcement aims to disrupt criminal activity conducted through these markets by targeting key players vital to the
Externí odkaz:
https://doaj.org/article/f4dbfdb9807144ddb80c14013c504a42
Publikováno v:
Computational Social Networks, Vol 6, Iss 1, Pp 1-34 (2019)
Computational Social Networks, 6, 8
Computational Social Networks
Computational Social Networks, 6, 8
Computational Social Networks
This paper proposes novel algorithms for efficiently counting complex network motifs in dynamic networks that are changing over time. Network motifs are small characteristic configurations of a few nodes and edges, and have repeatedly been shown to p
Publikováno v:
Network Science, 9(3), 354-386. Cambridge University Press ({CUP})
This paper introduces a framework for understanding complex temporal interaction patterns in large-scale scientific collaboration networks. In particular, we investigate how two key concepts in science studies, scientific collaboration and scientific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72965a8c2230b4d766702c6303a5ade4
http://hdl.handle.net/1887/3249685
http://hdl.handle.net/1887/3249685
Publikováno v:
ASONAM
This paper proposes a novel approach to efficiently compute the exact closeness centrality values of all nodes in dynamically evolving directed and weighted networks. Closeness centrality is one of the most frequently used centrality measures in the