def reciprocity_per_time_step(time_step=60*60):
"""Plots the reciprocity of all tweets in the UMG for a given time slice."""
ranges = t.get_range()
first_tweet = ranges[0]
last_tweet = ranges[(len(ranges)-1)]
start_index = first_tweet
to_graph = []
x_vals = []
while start_index < last_tweet:
last_index = start_index + datetime.timedelta(seconds=time_step)
x_vals.append(f.roundTime(start_index,60*60))
print str(start_index)
tweets = bf.get_tweets_between(start_index, last_index)
print "Tweets found:", len(tweets), "Making Graph"
graph = um.user_mentions_graph(tweets)
reciprocity = f.get_graph_reciprocity(graph)
to_graph.append(reciprocity)
start_index += datetime.timedelta(seconds=time_step)
plt.plot(x_vals,to_graph)
locs, labels = plt.xticks()
plt.setp(labels, rotation=90)
plt.title('Reciprocity by Hour')
plt.xlabel('Date')
plt.ylabel('Reciprocity')
plt.show()
return to_graph
def hashtag_changes(time_step = 60*60*24): """Attempting to identify changes in the hashtag structure overtime""" ranges = t.get_range() first_tweet = ranges[0] last_tweet = ranges[len(ranges)-1] index = first_tweet print first_tweet, last_tweet to_graph = [] while index < last_tweet: index += datetime.timedelta(seconds=time_step) tweets = bf.get_tweets_between(first_tweet, index) #Now make the user tweet graph graph = ut.create_user_tweet_graph(tweets) print "Tweets before", index, ":", len(tweets) to_graph.append(len(nx.connected_components(graph))) f.draw_graph(y=to_graph, x_label="Days", y_label="Number of Components", title="Cumulative Connected Components")
