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- W3113308218 abstract "Complex networks evolve and vary their structure as time goes by. In particular, the links in those networks have both a sign and a directionality. To understand their structural principles, we measure the network motifs, which are patterns that appear much more than one would expect in randomized networks, considering both link properties. We propose motif dynamics, which is a study to investigate the change in the number of motifs, and applied the motif dynamics to an open evolving network model and empirical data. We confirm that a non-cyclic motif has a greater correlation with the system size than a cyclic structural motif. Furthermore, the motif dynamics can give us insight into friendship between freshmen in a university." @default.
- W3113308218 created "2020-12-21" @default.
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- W3113308218 date "2021-02-09" @default.
- W3113308218 modified "2023-10-02" @default.
- W3113308218 title "Motif dynamics in signed directional complex networks" @default.
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- W3113308218 doi "https://doi.org/10.1007/s40042-021-00058-6" @default.
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