The graph represents a network of 14,234 Twitter users whose recent tweets were included in a list (NPR China Updated Tweet List (30k)) of 35762 tweet IDs, or who were replied to or mentioned in those tweets. 27232 out of 35762 tweets were collected. The network was obtained from Twitter on Tuesday, 29 November 2022 at 22:08 UTC.
The tweets in the network were tweeted over the 59-minute period from Sunday, 27 November 2022 at 14:00 UTC to Sunday, 27 November 2022 at 14:59 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 : 14234
Unique Edges : 17811
Edges With Duplicates : 12170
Total Edges : 29981
Number of Edge Types : 5
Retweet : 22266
Tweet : 5450
MentionsInRetweet : 315
Replies to : 1226
Mentions : 724
Self-Loops : 5494
Reciprocated Vertex Pair Ratio : 0.00100646254899883
Reciprocated Edge Ratio : 0.00201090120124888
Connected Components : 1486
Single-Vertex Connected Components : 1039
Maximum Vertices in a Connected Component : 11440
Maximum Edges in a Connected Component : 24618
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 3.79572
Graph Density : 9.32759008745644E-05
Modularity : 0.491746
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=285125
Data Import : The graph represents a network of 14,234 Twitter users whose recent tweets were included in a list (NPR China Updated Tweet List (30k)) of 35762 tweet IDs, or who were replied to or mentioned in those tweets. 27232 out of 35762 tweets were collected. The network was obtained from Twitter on Tuesday, 29 November 2022 at 22:08 UTC.
The tweets in the network were tweeted over the 59-minute period from Sunday, 27 November 2022 at 14:00 UTC to Sunday, 27 November 2022 at 14:59 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 : NPR China Updated Tweet List (30k)
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:
[1857] 突发,上海 [1848] 上海,乌鲁木齐中路路牌被紧急拆除 [1603] 上海,补充视频 [984] 北京,亮马河 [808] 补充,上海警察在大巴里殴打被捕的人 [788] 便衣没有回答身份问题,只是表示 [788] 民众要求放人,在交涉中民众与一名便衣争吵 [788] 民众指责你连警服都没有穿,便衣没有回答身份问题 [788] 只是表示,我只是看不管你们这些人民群众 [788] 共产党下台,习近平下台 Top Word Pairs in Tweet in G1:
[1431] 突发,上海 [1426] 上海,乌鲁木齐中路路牌被紧急拆除 [1108] 上海,补充视频 [661] 北京,亮马河 [525] 常熟路与五原路交叉口,民众宣读四通桥口号 [525] 民众宣读四通桥口号,随后有民众宣读宪法 [525] 8点左右,常熟路与五原路交叉口 [525] 补充视频,8点左右 [522] 民众指责你连警服都没有穿,便衣没有回答身份问题 [522] 补充视频,视频中远处传来惨叫 Top Word Pairs in Tweet in G2:
[249] 上海,11月27日 [234] 11月27日,乌鲁木齐路 [229] 记入迫害人权档案,将来公审它 [229] 人肉它,记入迫害人权档案 [229] 乌鲁木齐路,混入示威人群抓捕举花抗议者的便衣特务 [229] 混入示威人群抓捕举花抗议者的便衣特务,人肉它 [224] 我觉得我们的人民都会对我们失望,我作为清华的学生 [224] 所以就不敢发声,我觉得我们的人民都会对我们失望 [224] 一名抗议的女学生说,如果我们因为害怕被捕 [224] 我作为清华的学生,我会后悔一辈子 Top Word Pairs in Tweet in G3:
[310] 習近平,退陣せよ [280] 共産党,退陣せよ [239] 共産党退陣,習近平退陣 [228] 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 [228] 退陣せよ,と叫ぶ一方 [228] 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 [228] とも叫んだ,習近平政権になってから [228] ここでは若者たちは,共産党 [228] と叫ぶ一方,習近平 [228] 退陣せよ,とも叫んだ Top Word Pairs in Tweet in G4:
[297] #北京,#广州 [297] #广州,#世界杯 [297] #世界杯,#卡塔尔世界杯 [281] #买球平台,#世界杯买球 [281] #上海,#买球平台 [188] #上海线下,#上海 [120] 2022年11月27日,22 [115] #上海,shot [115] arrow,air [115] air,fell Top Word Pairs in Tweet in G5:
[201] #tankman2022,#tankmaninshanghai [201] 再次出现了一个螳臂当车的歹徒,#tankman2022 [201] 2022年的上海,再次出现了一个螳臂当车的歹徒 [136] 上海,补充视频 [123] 突发,上海 [123] 北京亮马桥,习大大的脑残真爱粉们聚众为他打call [123] 习大大的脑残真爱粉们聚众为他打call,我要被封控 [123] 我要被封控,我要做核酸 [122] 上海,乌鲁木齐中路路牌被紧急拆除 [119] 共产党,下台 Top Word Pairs in Tweet in G6:
[149] 清华大学抗议的学生越来越多,高喊 [149] 民主法治,表达自由 [149] 高喊,民主法治 [149] 表达自由,算是北京的抗议最早提出政治诉求的 [68] 面对大批警察,高呼 [68] 是在上海而不是北京爆发,倒是出乎我意料 [68] 六四,是在上海而不是北京爆发 [68] 高呼,习近平下台 [68] 要自由,如果第二次 [68] 上海民众聚集乌鲁木齐中路悼念乌鲁木齐火灾死难者,面对大批警察 Top Word Pairs in Tweet in G7:
[246] 共产党下台,习近平下台 [239] 高喊,共产党下台 [239] 等口号,这是公开场合下 [239] 愤怒的群众手举白纸,高喊 [239] 11月27日凌晨,上海乌鲁木齐中路大批民众走上街头 [239] 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 [239] 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 [239] 这是公开场合下,民众罕有表达对中共最高领导层的不满 [239] 习近平下台,等口号 [23] 上海,补充视频 Top Word Pairs in Tweet in G8:
[29] 2022,巧合还是联系 [29] 2019,shanghai [29] 2019,上海 [29] guess,hk [29] connection,guess [29] hk,2019 [29] coincidence,connection [29] 你的猜测是,香港 [29] 巧合还是联系,你的猜测是 [29] 香港,2019 Top Word Pairs in Tweet in G9:
[269] #上海,#上海线下 [188] khurana,#上海 [188] birthday,himanshi [188] happy,birthday [188] himanshi,khurana [130] #上海线下,#上海同城 [64] rampal's,birthday [64] birthday,#上海 [64] #上海线下,#富士康 [64] arjun,rampal's Top Word Pairs in Tweet in G10:
[94] 习近平下台,共产党下台 [82] 四川成都居民周日晚也喊出,不要终身制 [82] 共产党下台,口号后 [82] 口号,继上海示威群众喊出 [82] 不要㚵身制,不要皇帝 [82] 言论自由,新闻自由 [82] #八九六四,#政治体制改革 [82] 及要求有,言论自由 [82] 中国民情由反对封城逐步转向反政治体制,成都居民喊出 [82] 不要终身制,中国不需要皇帝 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 G7:
Top Replied-To in G8:
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 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: