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Please note, the Brightkite_totalCheckins_data has 4.5Mio data points, I ran the code just of a random sample of 100.000. although I have a 4core 32 gb ram notebook, it crashed with the whole data set several times. however due to the randomness of the sub-sample, you get all the time different results when analyzing the most frequent user...hence all the conclusions are different each time, location and the map are pretty much the same

                                                                                                            Proposition n°                                        4
                                     du concours                                         Python Experts For Solving Problem Related to Privacy and Security in Online Social Media
Proposition n°4

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