The graph represents a network of 8,966 Twitter users whose recent tweets were included in a list (NPR China City Name Tweet ID List) of 19999 tweet IDs, or who were replied to or mentioned in those tweets. 16393 out of 19999 tweets were collected. The network was obtained from Twitter on Tuesday, 29 November 2022 at 21:10 UTC.
The tweets in the network were tweeted over the 34-minute period from Sunday, 27 November 2022 at 15:25 UTC to Sunday, 27 November 2022 at 15:59 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 : 8966
Unique Edges : 11214
Edges With Duplicates : 7464
Total Edges : 18678
Number of Edge Types : 5
Retweet : 13193
Replies to : 867
Tweet : 3761
Mentions : 551
MentionsInRetweet : 306
Self-Loops : 3778
Reciprocated Vertex Pair Ratio : 0.00172294968986906
Reciprocated Edge Ratio : 0.00343997248022016
Connected Components : 1118
Single-Vertex Connected Components : 745
Maximum Vertices in a Connected Component : 6888
Maximum Edges in a Connected Component : 14853
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.797321
Graph Density : 0.000144662509506385
Modularity : 0.491761
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=285122
Data Import : The graph represents a network of 8,966 Twitter users whose recent tweets were included in a list (NPR China City Name Tweet ID List) of 19999 tweet IDs, or who were replied to or mentioned in those tweets. 16393 out of 19999 tweets were collected. The network was obtained from Twitter on Tuesday, 29 November 2022 at 21:10 UTC.
The tweets in the network were tweeted over the 34-minute period from Sunday, 27 November 2022 at 15:25 UTC to Sunday, 27 November 2022 at 15:59 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 City Name Tweet ID List
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:
[1195] 北京,亮马桥 [577] 亮马桥,民众高喊 [541] 常熟路与五原路交叉口,民众宣读四通桥口号 [510] 亮马桥附近,市民举白纸静默抗议 [510] 市民举白纸静默抗议,周围车辆鸣笛支持 [509] 北京,亮马桥附近 [470] 上海,补充视频 [467] 共产党下台,习近平下台 [460] 人们聚集在外围马路边,引发更大的围观 [453] 民众宣读四通桥口号,随后有民众宣读宪法 Top Word Pairs in Tweet in G1:
[799] 北京,亮马桥 [402] 亮马桥,民众高喊 [350] 市民举白纸静默抗议,周围车辆鸣笛支持 [350] 北京,亮马桥附近 [350] 亮马桥附近,市民举白纸静默抗议 [303] 上海,补充视频 [247] 人们聚集在外围马路边,引发更大的围观 [246] 因亮马河内部沿岸被封锁,人们聚集在外围马路边 [246] 北京,因亮马河内部沿岸被封锁 [246] 引发更大的围观,路过的人和车也全部加入 Top Word Pairs in Tweet in G2:
[273] 习近平下台,共产党下台 [260] 言论自由,新闻自由 [259] 口号后,四川成都居民周日晚也喊出 [259] 不要终身制,中国不需要皇帝 [259] #政治体制改革,#终身制 [259] 不要皇帝,口号 [259] 及要求有,言论自由 [259] 新闻自由,口号 [259] #终身制,#乌鲁木齐 [259] #乌鲁木齐,#动态清零 Top Word Pairs in Tweet in G3:
[275] #买球平台,#世界杯买球 [275] #上海,#买球平台 [268] #北京,#广州 [268] #广州,#世界杯 [268] #世界杯,#卡塔尔世界杯 [105] #上海,#线下 [103] #上海线下,#上海 [64] #上海,shot [64] arrow,air [64] air,fell Top Word Pairs in Tweet in G4:
[158] 習近平,退陣せよ [89] 退陣せよ,上海で異例のデモ [89] フォト,習近平 [89] 上海で異例のデモ,2日連続 [89] 10月に発足した3期目の習指導部は,早くも統治への不満が表面化する事態に直面した [89] 2日連続,10月に発足した3期目の習指導部は [88] 共産党,退陣せよ [69] 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 [69] 退陣せよ,と叫ぶ一方 [69] 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 Top Word Pairs in Tweet in G5:
[85] 北京亮马桥,路过司机纷纷鸣笛致意声援集会民众 [78] 共产党,下台 [76] 北京,亮马桥 [68] 下台,共产党 [68] 下台,的完整4个视角 [68] 上海乌鲁木齐中路,民众高喊 [68] 民众高喊,习近平 [68] 习近平,下台 [51] #tankman2022,#tankmaninshanghai [51] 再次出现了一个螳臂当车的歹徒,#tankman2022 Top Word Pairs in Tweet in G6:
[58] #郑州,#重庆 [58] #南京,#郑州 [58] #重庆,#呼和浩特 [53] #呼和浩特,#广州 [53] #清零,#核酸 [53] #广州,#新疆 [50] #灭共,#起义 [46] 共产党下台,习近平下台 [45] #起义,#镇压 [42] #上海,#西安 Top Word Pairs in Tweet in G7:
[150] 共产党下台,习近平下台 [144] 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 [144] 11月27日凌晨,上海乌鲁木齐中路大批民众走上街头 [144] 愤怒的群众手举白纸,高喊 [144] 这是公开场合下,民众罕有表达对中共最高领导层的不满 [144] 等口号,这是公开场合下 [144] 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 [144] 习近平下台,等口号 [144] 高喊,共产党下台 [15] 遭校方报警处理,港大校方与香港警察向bbc中文确认事件 Top Word Pairs in Tweet in G8:
[53] 中國,上海警察抓捕抗議者到大巴車 [53] 上海警察抓捕抗議者到大巴車,拉上車窗 [53] 拉上車窗,在大巴車裡搜查手機 [53] 在大巴車裡搜查手機,毆打被捕抗議的人 [45] 中國,北京 [41] 北京,清華 [33] #新疆,#乌鲁木齐 [25] #上海,#乌鲁木齐中路 [24] #乌鲁木齐,#打江山 [24] #白纸革命,#新疆 Top Word Pairs in Tweet in G9:
[81] 民主法治,表达自由 [81] 表达自由,算是北京的抗议最早提出政治诉求的 [81] 高喊,民主法治 [81] 清华大学抗议的学生越来越多,高喊 [58] 习近平下台,共产党下台 [52] 六四,是在上海而不是北京爆发 [52] 要自由,如果第二次 [52] 如果第二次,六四 [52] 共产党下台,要自由 [52] 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 G10:
[37] 北京,#亮马桥 [35] 弾圧前提の経済人質にした死なばもろともを,組織的にかなり広範囲でやってるっぽいのだな [35] ごっつええ北京の状況がいきなり動き始めたのだな,まさか本土で打倒会長が叫ばれるとは [35] つうか,弾圧前提の経済人質にした死なばもろともを [35] しっかし,ごっつええ北京の状況がいきなり動き始めたのだな [35] まさか本土で打倒会長が叫ばれるとは,つうか [26] 不要谎言要尊严,不要文革要改革 [24] なりたいのは奴隷ではなく公民,不要谎言要尊严 [24] 不要文革要改革,不要领袖要选票 [24] 不要领袖要选票,不做奴才做公民 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: