The graph represents a network of 10,416 Twitter users whose recent tweets were included in a list (20221130_NPR_china_city_tweets_five_percent_sample) of 42426 tweet IDs, or who were replied to or mentioned in those tweets. 15155 out of 42426 tweets were collected. The network was obtained from Twitter on Wednesday, 30 November 2022 at 17:37 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 44-minute period from Thursday, 24 November 2022 at 11:50 UTC to Sunday, 27 November 2022 at 01:35 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 : 10416
Unique Edges : 11011
Edges With Duplicates : 7209
Total Edges : 18220
Number of Edge Types : 5
Retweet : 7881
MentionsInRetweet : 651
Tweet : 8333
Replies to : 812
Mentions : 543
Self-Loops : 8360
Reciprocated Vertex Pair Ratio : 0.000954299650090128
Reciprocated Edge Ratio : 0.00190677966101695
Connected Components : 2525
Single-Vertex Connected Components : 1507
Maximum Vertices in a Connected Component : 4201
Maximum Edges in a Connected Component : 5961
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.362475
Graph Density : 8.70185312599325E-05
Modularity : 0.543292
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=285206
Data Import : The graph represents a network of 10,416 Twitter users whose recent tweets were included in a list (20221130_NPR_china_city_tweets_five_percent_sample) of 42426 tweet IDs, or who were replied to or mentioned in those tweets. 15155 out of 42426 tweets were collected. The network was obtained from Twitter on Wednesday, 30 November 2022 at 17:37 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 44-minute period from Thursday, 24 November 2022 at 11:50 UTC to Sunday, 27 November 2022 at 01:35 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_sample
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:
[1422] #上海,#上海线下 [675] leaked,leak [675] leak,charli [675] belle,delphine [675] delphine,leaked [675] charli,damelio [675] damelio,tiktok [675] tiktok,room [669] charles,leak [669] room,james Top Word Pairs in Tweet in G1:
[1324] #上海,#上海线下 [675] leaked,leak [675] leak,charli [675] belle,delphine [675] delphine,leaked [675] charli,damelio [675] damelio,tiktok [675] tiktok,room [669] charles,leak [669] room,james Top Word Pairs in Tweet in G2:
[355] 上海乌鲁木齐路,最新视频 [295] 共产党下台,习近平下台 [294] 民众齐声高喊,共产党下台 [294] 最新视频,民众齐声高喊 [294] 习近平下台,马路对面的警察并未阻止 [199] 下台,这是迄今为止最为激进的口号 [199] 民众高喊,共产党 [199] 共产党,下台 [199] 上海乌鲁木齐路,民众高喊 [110] 要道歉,要道歉 Top Word Pairs in Tweet in G3:
[315] 联系方式,主页简介 [66] 闲聊请绕道,主页联系方式添加会员 [66] 主页联系方式添加会员,解锁更多独家影像资料 [66] 罩杯,全国极品 [66] 网红,模特 [66] 今日推荐,职业 [66] 所有资源全部真实本人可查可验,入会有门槛 [66] 模特,外围 [66] 入会有门槛,闲聊请绕道 [66] 全国极品,网红 Top Word Pairs in Tweet in G4:
[39] 上海乌鲁木齐中路,人民高喊 [39] 人民高喊,不要独裁 [39] 不要独裁,要民主 [39] 不自由,毋宁死 [36] 共产党,下台 [32] 下台,这是迄今为止最为激进的口号 [28] 学生和民众一起高喊,共产党 [28] 毋宁死,向上海勇士致敬 [28] 上海乌鲁木齐路,学生和民众一起高喊 [23] 今天全国数十所高校在悼念乌市火灾遇难者,学校开始流行 Top Word Pairs in Tweet in G5:
[63] 北京天通苑居委会密谋怎么整人,泄漏了党的秘密 [56] 习近平下台,共产党下台 [56] 六四,是在上海而不是北京爆发 [56] 要自由,如果第二次 [56] 如果第二次,六四 [56] 共产党下台,要自由 [56] 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 [56] 是在上海而不是北京爆发,倒是出乎我意料 [56] 高呼,习近平下台 [56] 面对大批警察,高呼 Top Word Pairs in Tweet in G6:
[29] #廣州,#烏魯木齊 [29] #烏魯木齊,#北京 [29] #富士康,#廣州 [28] 腳踏著奴隸的脊梁,背負著獨裁的慾望 [28] 我們鐮刀斧頭幫,腳踏著奴隸的脊梁 [27] 這是一首共產黨唱的歌,我們鐮刀斧頭幫 [27] #北京,這是一首共產黨唱的歌 [26] 来自,youtube [24] 转发,下面这个小视频是北京市在海淀区凤凰岭盖的方仓 [24] 下面这个小视频是北京市在海淀区凤凰岭盖的方仓,这么大一片儿 Top Word Pairs in Tweet in G7:
[49] #胡锦涛,#二十大 [47] #民生,#习近平连任 [47] #猴痘,#肺结节 [47] #肺结节,#上海 [47] 共匪不灭,天下难安 [47] 天下难安,#癌症 [47] #二十大,#李佳琪 [47] #癌症,#猴痘 [47] #上海,#台湾 [47] #深圳,#民生 Top Word Pairs in Tweet in G8:
[41] 哈尔滨,东北农业大学 [41] 复旦大学,中央美术学院 [41] 北京,中国戏曲学院 [41] 天津美术学院,四川传媒学院 [41] 今晚多所国内高校对新疆火灾遇难者发声,为自由发声 [41] 南京传媒学院,哈尔滨 [41] 北京电影学院,天津美术学院 [41] 四川传媒学院,复旦大学 [41] 青岛电影学院,北京 [41] 中国戏曲学院,今晚多所国内高校对新疆火灾遇难者发声 Top Word Pairs in Tweet in G9:
[108] 共产党,下台 [77] 下台,的完整4个视角 [77] 习近平,下台 [77] 民众高喊,习近平 [77] 下台,共产党 [77] 上海乌鲁木齐中路,民众高喊 [31] 共產黨,下臺 [23] 鬧事的,這也就是被拍到了 [23] 北京天通苑街道居委會的幾個狗腿子私下商量如何用黑警手段對付,鬧事的 [19] 下台,这应该是大多国人心声 Top Word Pairs in Tweet in G10:
[36] 2022年11月26日14时42分,北京通州区新建村小区 [27] 劝大家要有骨气,#冲塔 [27] 今天白天站小区门口替大家把风,劝大家要有骨气 [27] 北京昨晚带头闹解封的小哥,今天白天站小区门口替大家把风 [19] 你没有权力,你也没有义务 [19] 市民,你有什么权力封小区 [19] 我没有权利,但是 [19] 市民,你没有权力 [19] 拒绝封小区,最终成功 [19] 你不要但是了,你没有权力 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G8:
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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 G5:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: