The Friendship diagram of a Python crawling Twitter user

The Friendship diagram of a Python crawling Twitter user

CODE:

#!/usr/bin/python # -*- coding: utf-8 -*-'''Created on 2014-8-1@author: guaguastd@name: crawing_friendship_graph.py'''if __name__ == '__main__':        # import json    #import json        # import search    from search import search_for_tweet        # import get_friends_followers_ids    from user import crawl_followers        # import login, see http://blog.csdn.net/guaguastd/article/details/31706155    from login import twitter_login    # get the twitter access api    twitter_api = twitter_login()        # import twitter_text    import twitter_text        while 1:        query = raw_input('\nInput the query (eg. #MentionSomeoneImportantForYou, exit to quit): ')                if query == 'exit':            print 'Successfully exit!'            break                statuses = search_for_tweet(twitter_api, query)         ex = twitter_text.Extractor(statuses)                     screen_names = ex.extract_mentioned_screen_names_with_indices()        screen_names = [screen_name['screen_name']                        for screen_name in screen_names]                        for screen_name in screen_names:            #print json.dumps(screen_names, indent=1)              crawl_followers(twitter_api, screen_name, depth=1, limit=10)

RESULT:

Input the query (eg. #MentionSomeoneImportantForYou, exit to quit): Mining TwitterLength of statuses 88Fetched 5000 total followers ids for 15362680[{u'_id': ObjectId('53dacba0ae6f2217909a0e04'), u'followers': [2371121161L, 403929334, 2696296824L, 2696169230L, 310282374, 315832952, 2450621492L, 1261558134, 16996451, 2440864703L]}, {u'_id': ObjectId('53dacdc8ae6f22172c317a79'), u'followers': [2371121161L, 403929334, 2696296824L, 2696169230L, 310282374, 315832952, 2450621492L, 1261558134, 16996451, 2440864703L]}] Input the query (eg. #MentionSomeoneImportantForYou, exit to quit):