This is the second part of an old project that I recently replicated in Python, it was presented as my Conclusion Work of my Post-Graduation at FIA School. This study is focused on my Facebook friends data and their friendship connections, collected through Facebook Netvizz App. This app treats json returns from Facebook Graph API, and formats in two files of nodes (friends) and edges (friendship relations). I used the Python package Networkx to detect communities based on nodes relationships and to compute centrality measures, in order to understand patterns on detected communities and identify aspects of leadership and popularity in my personal friends.

This is an old project that I recently replicated in Python. This study is focused on my Facebook friends data, collected through Facebook Graph API. I collected my list of friends and the list of music pages each of them liked. I treated the json data to structure the data in a matrix format with shape n X m, where n is the number of user friends and m is the number of music pages.