Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Tim S. Evans"'
Autor:
Dingyi Shi, Fan Shang, Bingsheng Chen, Paul Expert, Linyuan Lü, H. Eugene Stanley, Renaud Lambiotte, Tim S. Evans, Ruiqi Li
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Clusters or communities can provide a coarse-grained description of complex systems at multiple scales, but their detection remains challenging in practice. Community detection methods often define communities as dense subgraphs, or subgraph
Externí odkaz:
https://doaj.org/article/fbd43d5f3eb146e3b77f36ed70e37f7d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract To create the next innovative product, participants in science need to understand which existing technologies can be combined, what new science must be discovered, and what new technologies must be invented. Knowledge of these often arrives
Externí odkaz:
https://doaj.org/article/4fd0797edba84d8aae555a1ae8d957d9
Autor:
Tim S. Evans, Bingsheng Chen
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-11 (2022)
The availability of large amount of data has made network science a tool to be used across many disciplines. The authors derive a mathematical approximation that link two of the most used centrality measures in graph theory, degree and closeness, fin
Externí odkaz:
https://doaj.org/article/92097e889ba94bf4a168fd1775c00ec7
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Abstract We study the evolution of networks through ‘triplets’—three-node graphlets. We develop a method to compute a transition matrix to describe the evolution of triplets in temporal networks. To identify the importance of higher-order inter
Externí odkaz:
https://doaj.org/article/d48cdadf2996423eb2078be22553364a
Autor:
Vaiva Vasiliauskaite, Tim S. Evans
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-24 (2020)
Abstract In this work we give a community detection algorithm in which the communities both respects the intrinsic order of a directed acyclic graph and also finds similar nodes. We take inspiration from classic similarity measures of bibliometrics,
Externí odkaz:
https://doaj.org/article/e920bb1468184ac4a1699e97c4415b3f
Autor:
Ray J. Rivers, Tim S. Evans
Publikováno v:
Documenta Praehistorica, Vol 47 (2020)
Theoretical archaeological modelling for describing spatial interactions often adopts contemporary socioeconomic ideas whose 20th-century language gets translated into historical behaviour with the simplest of lexicons. This can lead to the impressio
Externí odkaz:
https://doaj.org/article/4ef76f4c473e49a4a735d4380a0bd2c2
Autor:
Alberto Ciacci, Max Falkenberg, Kishan A. Manani, Tim S. Evans, Nicholas S. Peters, Kim Christensen
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023311 (2020)
Atrial fibrillation (AF) is the most common cardiac arrhytmia, characterized by the chaotic motion of electrical wavefronts in the atria. In clinical practice, AF is classified under two primary categories: paroxysmal AF, short intermittent episodes
Externí odkaz:
https://doaj.org/article/1a6bb293775a469cace2187df30a9139
Autor:
Max Falkenberg, Jong-Hyeok Lee, Shun-ichi Amano, Ken-ichiro Ogawa, Kazuo Yano, Yoshihiro Miyake, Tim S. Evans, Kim Christensen
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023352 (2020)
Identifying power-law scaling in real networks—indicative of preferential attachment—has proved controversial. Critics argue that measuring the temporal evolution of a network directly is better than measuring the degree distribution when looking
Externí odkaz:
https://doaj.org/article/d747cb2c5dd24437bddd7d243a26c3c1
Autor:
James R Clough, Tim S Evans
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187301 (2017)
Geometric approaches to network analysis combine simply defined models with great descriptive power. In this work we provide a method for embedding directed acyclic graphs (DAG) into Minkowski spacetime using Multidimensional scaling (MDS). First we
Externí odkaz:
https://doaj.org/article/ca44d705933547ae9bf7fa9f3c2b7a6a
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021)
We study the evolution of networks through `triplets' - three-node graphlets. We develop a method to compute a transition matrix to describe the evolution of triplets in temporal networks. To identify the importance of higher-order interactions in th