Runtime Data of Horizontal Visibility Algorithms for synthetic and empirical Time Seriesdoi:10.26249/FK2/MXFPLVosnaData2022-12-192Schmidt, Jonas, 2022, "Runtime Data of Horizontal Visibility Algorithms for synthetic and empirical Time Series", https://doi.org/10.26249/FK2/MXFPLV, osnaData, V2Runtime Data of Horizontal Visibility Algorithms for synthetic and empirical Time Seriesdoi:10.26249/FK2/MXFPLVSchmidt, JonasosnaDataSchmidt, JonasSchmidt, Jonas2022-12-16Computer and Information ScienceGraph TheoryComputational Complexity TheoryHorizontal Visibility GraphsThis repository contains the computed runtimes of state-of-the-art horizontal visibility algorithms for synthetic and empirical time series. The provided Python code was used to compute the runtime data and includes implementations of various horizontal visibility algorithms. The main contribution is a newly developed algorithm that extends the fast weighted horizontal visibility algorithm of Zhu et al. . The proposed algorithm works efficiently on streamed data, is multi-processing capable, and has linear runtime in the worst case.CC0 Waiverhvg_runtimes_data_v2.zipVersion 2application/ziphvg_runtimes_data.zipapplication/zip