這裏有一種Python noob。我從Matthew Russell的書籍「21採礦Twitter」和「挖掘社交網絡」中找到Python代碼,用於從Twitter API收集各種數據的項目。請參閱他的github頁面:https://github.com/ptwobrussell如何從我從Twitter API收集的數據生成網絡矩陣?
我無法弄清楚的一件事是如何根據用戶和他/她的追隨者/朋友之間的關係來生成網絡矩陣/圖。因此,舉例來說,這裏是他收集的Twitter用戶的朋友Python代碼(也在這裏:https://github.com/ptwobrussell/Recipes-for-Mining-Twitter/blob/master/recipe__get_friends_followers.py):
# -*- coding: utf-8 -*-
import sys
import twitter
from recipe__make_twitter_request import make_twitter_request
import functools
SCREEN_NAME = sys.argv[1]
MAX_IDS = int(sys.argv[2])
if __name__ == '__main__':
# Not authenticating lowers your rate limit to 150 requests per hr.
# Authenticate to get 350 requests per hour.
t = twitter.Twitter(domain='api.twitter.com', api_version='1')
# You could call make_twitter_request(t, t.friends.ids, *args, **kw) or
# use functools to "partially bind" a new callable with these parameters
get_friends_ids = functools.partial(make_twitter_request, t, t.friends.ids)
# Ditto if you want to do the same thing to get followers...
# getFollowerIds = functools.partial(make_twitter_request, t, t.followers.ids)
cursor = -1
ids = []
while cursor != 0:
# Use make_twitter_request via the partially bound callable...
response = get_friends_ids(screen_name=SCREEN_NAME, cursor=cursor)
ids += response['ids']
cursor = response['next_cursor']
print >> sys.stderr, 'Fetched %i total ids for %s' % (len(ids), SCREEN_NAME)
# Consider storing the ids to disk during each iteration to provide an
# an additional layer of protection from exceptional circumstances
if len(ids) >= MAX_IDS:
break
# Do something useful with the ids like store them to disk...
print ids
所以我設法成功運行該代碼與給定用戶爲初級用戶命令行參數。但是,我如何才能將這些數據放入一個矩陣中,然後我可以分析,運行公式(如中心性)等......?到目前爲止,我認爲我可能需要使用可能包含NetworkX,Redis和Matplotlib的軟件包組合,但實際生成此矩陣的步驟無法實現。
看看我的不同巨大的twitter可視化:www.twittercensus.se/graph2013 www.finnishtwitter.com和www.twittercensus.dk - 如果您有任何問題,請詢問! – 2013-05-01 19:34:50
偉大的可視化。你有一個公開可用的腳本來收集數據嗎?你使用什麼軟件語言和軟件包? – TJE 2013-05-01 21:45:26