Author: Hang-Hyun Jo (h2jo23@gmail.com)
Upload date: 19 October 2019
Description: Codes developed and used for the following paper: Hang-Hyun Jo, Takayuki Hiraoka, and Mikko Kivela, Burst-tree decomposition of time series reveals the structure of temporal correlations [arXiv:1907.13556; published in Scientific Reports 10, 12202 (2020) on 22 July 2020]
File/folder description
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/header: header files
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/burst_tree: basic analysis using burst-tree decomposition method
main.c: main c file
run.sh: shell script for compiling and running the program
timings_example.txt: the first 1000 events for the most active Wikipedia editor
/sample_result: the results files using "timings_example.txt"
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/MRRM: microcanonical randomized reference models
main.c: main c file
run.sh: shell script for compiling and running the program
timings_example.txt: the first 1000 events for the most active Wikipedia editor
tree_example.txt: the tree structure derived from "timings_example.txt"
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/model: kernel-based modeling
main.c: main c file
run.sh: shell script for compiling and running the program
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bursttree.py: Python implementation of the burst tree decomposition/recomposition method. Written by Mikko Kivela.