Selim Fekih 288330, [email protected], group : RasARas
We want to replicate two figures in a paper : here we will try to replicate the figure 2.A and the figure 3.B in the paper : 'Friendship and Mobility : User Movement In Location-Based Social Networks' published by : Eujoon Cho, Seth A. Myers, Jure Leskovec
replication3B.ipnyb : file used to run replication of figure 3B and visualize results .
replication2A.ipnyb : file used to run replication of figure 2A and visualize results .
process_functions.py : This class contains utiliy functions to preprocess and process data.
visualisation_functions.py : functions used to have a nice curve in the end.
- As the data we studied was heavy, good computational power is recommended to run the notebook.
- In my case, I runned the replication3B with google colab
Gowalla app data : https://snap.stanford.edu/data/loc-Gowalla.html
Files :
loc-gowalla_edges.txt.gz : Friendship undirected network of Gowalla users
loc-gowalla_totalCheckins.txt.gz : Time and location information of check-ins made by users
Brightkite app data : https://snap.stanford.edu/data/loc-Brightkite.html
Files :
loc-brightkite_edges.txt.gz : Friendship undirected network of Brightkite users
loc-brightkite_totalCheckins.txt.gz : Time and location information of check-ins made by users