1) To run the code, get the access tokens & keys from twitter-application

2) To stream realtime tweets

time python twitter_streaming.py > ../data/twitter_stream.txt

Rarely it may throw an error. Don’t fret.
It simply means that our network is not fast enough to collect/fetch the data that twitter server is sending.

3) For custom query: ‘to’ date should be current day to get the full tweets

python fetch_stale_tweets.py -q "mars mission" -o "data/results.txt" -cnt 100 \
                                          -from "2015-12-31" -to "2016-11-11"

4) Plot the statistics

python scatterPlotUserStatistics.py -i ../data/user_statistics.txt

5) Group the data points into the respective grids and assign group IDs

python scatterPlot_groupAssign.py -i ../data/user_statistics_mars-mission.txt

6) Run hop-algorithm implementation

time python complete_hop_algorithm.py -q "mars mission" -cnt 10000 -thresh 50000 \
                            -from "2015-12-31" -to "2016-11-25" -o all_results.txt

This last step alone is enough to see the result of tweet hops from group to group.

PS: Graph plotting code is yet to be added.