These are source codes for the paper "Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes".

• SC3 is the algorithm for counting simplets of size 4 and 5 based on Color Coding method where simplets are isomorphic classes of connected induced subcomplexes.
• SC3, which extends CC (Color Coding) method from graphlets to simplets, have following properties:
  1. accurate compared to baselines
  2. fast and scalable
• Especially, the counts of simplets by SC3 have strong power to characterize SCs domain by domain.

1. Real world datasets are available here. The format of the data is exactly as provided, and for SC3, only "{data}-nverts.txt" and "{data}-simplices.txt" are necessary.
2. [Statistics of datasets we used]

1. (csv) timestamp for each step (building, sampling, scanning, matching)
2. (csv) count of every simplet of size k with a format ({id of a simplet}, {counts}\n)

1. command "bash run.sh". Feel free to change the variable k, ss, trials, datas in the file "run.sh"

k="4 5" # a list of the size of simplets
ss="100 1000" #a list of the number of samples
datas="example" #a list of the name of datasets
trials=5 #the number of trials for running SC3.