The graph represents a network of 26,774 Twitter users whose recent tweets were included in a list (20221130_NPR_china_city_tweets_five_percent_#3) of 63737 tweet IDs, or who were replied to or mentioned in those tweets. 37740 out of 63737 tweets were collected. The network was obtained from Twitter on Wednesday, 30 November 2022 at 18:41 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 46-minute period from Sunday, 27 November 2022 at 01:37 UTC to Tuesday, 29 November 2022 at 15:23 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description

Vertices : 26774
Unique Edges : 33335
Edges With Duplicates : 11870
Total Edges : 45205
Number of Edge Types : 5
Retweet : 29362
Replies to : 2278
Mentions : 1466
Tweet : 11257
MentionsInRetweet : 842
Self-Loops : 11329
Reciprocated Vertex Pair Ratio : 0.000985628894823859
Reciprocated Edge Ratio : 0.00196931677413207
Connected Components : 3891
Single-Vertex Connected Components : 2488
Maximum Vertices in a Connected Component : 19030
Maximum Edges in a Connected Component : 33574
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.70932
Graph Density : 4.39203520215029E-05
Modularity : 0.602837
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=285197
Data Import : The graph represents a network of 26,774 Twitter users whose recent tweets were included in a list (20221130_NPR_china_city_tweets_five_percent_#3) of 63737 tweet IDs, or who were replied to or mentioned in those tweets. 37740 out of 63737 tweets were collected. The network was obtained from Twitter on Wednesday, 30 November 2022 at 18:41 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 46-minute period from Sunday, 27 November 2022 at 01:37 UTC to Tuesday, 29 November 2022 at 15:23 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterIDList
Graph Term : 20221130_NPR_china_city_tweets_five_percent_#3
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1134] 共产党下台,习近平下台 [610] 共产党,下台 [583] 北京,亮马桥 [548] 请问新疆的火是境外势力放的吗,请问贵州的大巴是境外势力推翻的吗 [529] 我们连网都上不到国外的,我们哪来的境外势力 [528] 请问贵州的大巴是境外势力推翻的吗,我们连网都上不到国外的 [520] 上海乌鲁木齐路,最新视频 [497] 民众齐声高喊,共产党下台 [481] 你说的境外势力,是马克思和恩格斯吗 [470] 习近平下台,马路对面的警察并未阻止 Top Word Pairs in Tweet in G1:
[407] 上海乌鲁木齐路,最新视频 [406] 共产党下台,习近平下台 [384] 民众齐声高喊,共产党下台 [383] 最新视频,民众齐声高喊 [383] 习近平下台,马路对面的警察并未阻止 [304] 北京,亮马桥 [220] 上海,补充视频 [190] 上海,乌鲁木齐路与安福路路口 [190] 随后被警察逮捕,几个居民上前阻止 [190] 乌鲁木齐路与安福路路口,一男子举着花演讲 Top Word Pairs in Tweet in G2:
[196] 习近平下台,共产党下台 [193] 共产党下台,习近平下台 [121] 言论自由,新闻自由 [114] 不要终身制,中国不需要皇帝 [112] 口号后,四川成都居民周日晚也喊出 [112] 不要皇帝,口号 [112] 口号,继上海示威群众喊出 [112] 中国民情由反对封城逐步转向反政治体制,成都居民喊出 [112] 新闻自由,口号 [112] 继上海示威群众喊出,习近平下台 Top Word Pairs in Tweet in G3:
[286] rush全国快递选款,上海可闪送0号伟哥r [286] 上海可闪送0号伟哥r,需要请加13046652044或者17740873529 [280] #上海线下,#上海 [229] #线下,#上海 [226] #北京,#广州 [224] #世界杯,#卡塔尔世界杯 [224] #广州,#世界杯 [214] #上海,#买球平台 [214] #买球平台,#世界杯买球 [190] #上海,#上海线下 Top Word Pairs in Tweet in G4:
[289] 共産党,退陣せよ [276] 習近平,退陣せよ [186] 先ほどアップした上海の抗議デモ映像と別の角度からの映像,ここでは若者たちは [186] 退陣せよ,と叫ぶ一方 [186] 習近平政権になってから,このようなスローガンが公然と叫ばれたのは初めてのこと [186] とも叫んだ,習近平政権になってから [186] ここでは若者たちは,共産党 [186] と叫ぶ一方,習近平 [186] 退陣せよ,とも叫んだ [186] このようなスローガンが公然と叫ばれたのは初めてのこと,今後の成り行きは大いに注目すべきだ Top Word Pairs in Tweet in G5:
[141] 11,28 [140] 2022,11 [121] 共产党下台,习近平下台 [106] #新疆,#乌鲁木齐 [96] #隔离,#核酸 [96] #核酸,#习近平 [92] 我们连网都上不到国外的,我们哪来的境外势力 [91] 请问新疆的火是境外势力放的吗,请问贵州的大巴是境外势力推翻的吗 [91] 请问贵州的大巴是境外势力推翻的吗,我们连网都上不到国外的 [88] 11,27 Top Word Pairs in Tweet in G6:
[144] 清华大学抗议的学生越来越多,高喊 [144] 民主法治,表达自由 [144] 高喊,民主法治 [144] 表达自由,算是北京的抗议最早提出政治诉求的 [107] 习近平下台,共产党下台 [101] 面对大批警察,高呼 [101] 是在上海而不是北京爆发,倒是出乎我意料 [101] 六四,是在上海而不是北京爆发 [101] 高呼,习近平下台 [101] 要自由,如果第二次 Top Word Pairs in Tweet in G7:
[219] 联系方式,主页简介 [58] 开发了各种高难度姿势,获取完整版视频 [58] 获取完整版视频,见评论区哦 [49] #北京,#上海 [48] 验,联系方式 [44] 他的脚,他的菊花 [44] #母狗,#线上 [44] 逼着我舔他的手,他的脚 [44] 一个哥哥苏州出差3天约我一起去玩,泡过澡以后让我像个母狗一样的跪在地上 [44] #线上,#线下 Top Word Pairs in Tweet in G8:
[110] 11月27日,乌鲁木齐路 [110] 上海,11月27日 [108] 人肉它,记入迫害人权档案 [108] 乌鲁木齐路,混入示威人群抓捕举花抗议者的便衣特务 [108] 记入迫害人权档案,将来公审它 [108] 混入示威人群抓捕举花抗议者的便衣特务,人肉它 [97] edward,lawrence [88] 上海警察公然殴打bbc新闻记者,edward [63] 转,上海今晚 [63] 警察要求查看手机,不给看就当场殴打 Top Word Pairs in Tweet in G9:
[69] 上海で大規模抗議デモ,動画 [69] 共産党退陣しろ,習近平退陣しろ [69] 中国,共産党退陣しろ [69] 習近平退陣しろ,上海で大規模抗議デモ [69] 上海的这张照片可以获新闻奖了,戴劳力士手表的手封口人民 [64] 来自,youtube [38] 你好,被抓的第一位公民是我的大学同学 [38] 上海网友,你好 [38] 被抓的第一位公民是我的大学同学,他叫黄昊 [38] 他叫黄昊,现就读于上海大学文化研究专业 Top Word Pairs in Tweet in G10:
[198] 共产党下台,习近平下台 [188] 高喊,共产党下台 [186] 等口号,这是公开场合下 [186] 愤怒的群众手举白纸,高喊 [186] 11月27日凌晨,上海乌鲁木齐中路大批民众走上街头 [186] 上海乌鲁木齐中路大批民众走上街头,抗议中国严苛的新冠限制措施并缅怀新疆乌鲁木齐公寓大火的死难者 [186] 抗议中国严苛的新冠限制措施并缅怀新疆乌鲁木齐公寓大火的死难者,愤怒的群众手举白纸 [186] 这是公开场合下,民众罕有表达对中共最高领导层的不满 [186] 习近平下台,等口号 [51] 在上周末的抗议后,中国上海警察对行人的手机进行检查 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: