The graph represents a network of 5,884 Twitter users whose recent tweets were included in a list (20221130_NPR_china_city_tweets_five_percent_sample) of 35383 tweet IDs, or who were replied to or mentioned in those tweets. 13582 out of 35383 tweets were collected. The network was obtained from Twitter on Wednesday, 30 November 2022 at 17:31 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 46-minute period from Monday, 21 November 2022 at 22:03 UTC to Thursday, 24 November 2022 at 11:50 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 : 5884
Unique Edges : 5476
Edges With Duplicates : 10041
Total Edges : 15517
Number of Edge Types : 5
Tweet : 11233
Retweet : 3225
Replies to : 365
MentionsInRetweet : 432
Mentions : 262
Self-Loops : 11260
Reciprocated Vertex Pair Ratio : 0.00172244094488189
Reciprocated Edge Ratio : 0.00343895848685827
Connected Components : 2388
Single-Vertex Connected Components : 1491
Maximum Vertices in a Connected Component : 583
Maximum Edges in a Connected Component : 813
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.282921
Graph Density : 0.000117606030026024
Modularity : 0.330256
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=285181
Data Import : The graph represents a network of 5,884 Twitter users whose recent tweets were included in a list (20221130_NPR_china_city_tweets_five_percent_sample) of 35383 tweet IDs, or who were replied to or mentioned in those tweets. 13582 out of 35383 tweets were collected. The network was obtained from Twitter on Wednesday, 30 November 2022 at 17:31 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 46-minute period from Monday, 21 November 2022 at 22:03 UTC to Thursday, 24 November 2022 at 11:50 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:
[2890] #上海,#上海线下 [1171] #上海线下,#上海 [1009] dbb,slippery [851] leaked,leak [851] leak,charli [851] belle,delphine [851] delphine,leaked [851] charli,damelio [851] damelio,tiktok [851] tiktok,room Top Word Pairs in Tweet in G1:
[2767] #上海,#上海线下 [1107] #上海线下,#上海 [1009] dbb,slippery [738] #北京线下,#北京 [731] leaked,leak [731] leak,charli [731] belle,delphine [731] delphine,leaked [731] charli,damelio [731] damelio,tiktok Top Word Pairs in Tweet in G2:
[328] 联系方式,主页简介 [68] 验,联系方式 [67] 上海魔都,模 [63] 公司在职ol,反差女神 [63] 真,大g [63] 大g,公司在职ol [63] 身高174,真 [63] 模,身高174 [63] 反差女神,联系方式 [56] 高学历,气质佳 Top Word Pairs in Tweet in G3:
[31] #民生,#习近平连任 [31] #猴痘,#肺结节 [31] #肺结节,#上海 [31] 共匪不灭,天下难安 [31] 天下难安,#癌症 [31] #胡锦涛,#二十大 [31] #二十大,#李佳琪 [31] #癌症,#猴痘 [31] #上海,#台湾 [31] #深圳,#民生 Top Word Pairs in Tweet in G4:
[217] 27日,日 [204] 日本選手権,北京五輪 [204] #平野歩夢,や [204] #スケートボード,日本選手権 [204] や,東京五輪 [191] #befirst,の [191] の,#shunto [155] 日,午後４時25分 [155] 関東地区,新潟 [155] 午後４時25分,tverでも配信 Top Word Pairs in Tweet in G5:
[30] 北京时间上午九点三十八分,富士康员工与身穿防护服的警察持续对峙中 [16] 转,1989年5月18日 [16] 使用历史上最严历的制栽共产党,这畜牲自然地开啟自动波 [16] 1989年5月18日,以个体户为主的北京民众组成摩托车队 [16] 摩托车队称为飞虎队,四处传播军队进城消息 [16] 卖国提款机回到淸末文革,根本不用任何弹药14亿 [16] 其成员很多在,#六四 [16] 张嘴的中国人只要没吃的时候,他们唯一能干的就是如何尽快弄死共产党明年5月到北京去看5毛粉蛆 [16] 如猛虎般打败俄罗斯把它丢到习2面前,使用历史上最严历的制栽共产党 [16] 直接热武力打败中国共产党得不到分文,如猛虎般打败俄罗斯把它丢到习2面前 Top Word Pairs in Tweet in G6:
[29] 女人味十足,网红御姐风 [29] 168真,长腿前凸后翘 [29] 联系方式请看简介,ya258cl [29] 活好不事,推特网红新入大圈接单 [29] 要预约,联系方式请看简介 [29] 网红御姐风,温柔体贴 [29] #上海外围,#上海资源 [29] #上海,#上海外围 [29] 长腿前凸后翘,女人味十足 [29] 推特网红新入大圈接单,要预约 Top Word Pairs in Tweet in G7:
[15] 成都,杭州 [15] 用手里的相机和家中邮寄来的珍贵柯达彩卷,拍摄下当时的中国 [15] 加入了陈纳德率领的第十四航空队,也就是原先的飞虎队 [15] 他们随盟军转战昆明,重庆 [15] 飞虎队队员眼中的中国,1944 [15] 被派往远东,加入了陈纳德率领的第十四航空队 [15] 他们大学期间应征入伍,被派往远东 [15] 是两个美国小伙子,他们大学期间应征入伍 [15] 1944,1945 [15] 拉森和威廉,迪伯 Top Word Pairs in Tweet in G8:
[20] 射在我屁股上让我用手擦下来吃进嘴里,累了 [20] 像个狗一样,他说他很喜欢我这种乖乖的样子 [20] 泡过澡以后让我像个母狗一样的跪在地上,美妙的酮体暴露在他的眼中 [20] 先睡了,#北京 [20] 逼着我舔他的手,他的脚 [20] 平日高高在上的女神,像只狗一样的听他摆布 [20] 像只狗一样的听他摆布,逼着我舔他的手 [20] 他的脚,他的菊花 [20] #北京,#上海 [20] 就这样跪着,像个狗一样 Top Word Pairs in Tweet in G9:
[30] 这几天疫情只能在家呆着了,#杭州 [30] 泡芙来了,做真实的自己 [30] 一步也别想逃,为了钱被当作母狗 [30] 也只能接受,这几天疫情只能在家呆着了 [30] 一地鸡毛才是生活的本质,什么年龄该走什么路 [30] 不好意思,即便技术不好 [30] 嘿嘿,遇到一些事情 [30] 遇到一些事情,心情很糟糕 [30] 心情很糟糕,一地鸡毛才是生活的本质 [30] 即便技术不好,那泡芙那也是天生的炮架子 Top Word Pairs in Tweet in G10:
[21] 台湾破获一起共谍案,陆军上校承诺北京开战就投降 [8] 进入党政机关,企事业单位及其他社会单位等公共场所都需要查验48小时内核酸检测阴性证明 [8] 有居民在接收路透社采访时对此表达担忧和不满,详细 [8] 企事业单位及其他社会单位等公共场所都需要查验48小时内核酸检测阴性证明,在北京街头 [8] 在北京街头,有居民在接收路透社采访时对此表达担忧和不满 [8] 详细,co [8] 北京市政府在11月22日宣布,自本周四起 [8] 自本周四起,进入党政机关 [7] co,r4h8ec4zdt [6] 来自,youtube Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
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: