GitHub - cbfcbf/Temporal-Clustering-code

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
TC-C modes.pdf		TC-C modes.pdf
TC-C modes.svg		TC-C modes.svg
TC-dt.pdf		TC-dt.pdf
TC-dt.svg		TC-dt.svg
TC-k.pdf		TC-k.pdf
TC-k.svg		TC-k.svg
TCtools.py		TCtools.py
compute_and_draw_TCdt.py		compute_and_draw_TCdt.py
compute_and_draw_shuffled.py		compute_and_draw_shuffled.py
drawfig.py		drawfig.py
influence of kmin on C.pdf		influence of kmin on C.pdf
influence of kmin on TC.pdf		influence of kmin on TC.pdf
influence of wmin on C.pdf		influence of wmin on C.pdf
influence of wmin on C.svg		influence of wmin on C.svg
influence of wmin on TC.pdf		influence of wmin on TC.pdf
influence of wmin on TC.svg		influence of wmin on TC.svg
randomized example.pdf		randomized example.pdf
randomized example.svg		randomized example.svg
readme.txt		readme.txt
simulation.pdf		simulation.pdf
simulation.py		simulation.py

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This is the code for the paper: "Temporal local clustering coefficient uncovers the hidden pattern in temporal networks"


-compute.py compute the TC/C for the empirical dataset
-drawfig.py draw TC/C plot for the empirical dataset
-compute_and_draw_TCdt.py compute and draw the TC in different time windows for the empirical dataset
-compute_and_draw_shuffled.py compute and draw the TC for randomized dataset
-simulation.py compute and draw the TC/C for simulation model