16 citations · 19 across the 3 of their papers we have counts for
3 papers
physics.soc-ph2023★ 16 cited
Finding emergence in data by maximizing effective information
Mingzhe Yang, Zhipeng Wang, Kaiwei Liu +3
Quantifying emergence and modeling emergent dynamics in a data-driven manner for complex dynamical systems is challenging due to the lack of direct observations at the micro-level.…
cs.SI2021
Quantification of network structural dissimilarities based on graph embedding
Zhipeng Wang, Xiu-Xiu Zhan, Chuang Liu +1
Identifying and quantifying structural dissimilarities between complex networks is a fundamental and challenging problem in network science. Previous network comparison methods are…
cs.SI2021★ 3 cited
Measuring and utilizing temporal network dissimilarity
Xiu-Xiu Zhan, Chuang Liu, Zhipeng Wang +3
Quantifying the structural and functional differences of temporal networks is a fundamental and challenging problem in the era of big data. This work proposes a temporal dissimilar…