The graph represents a network of 2,125 Twitter users whose recent tweets were included in a list (NPR China Cities Prior to Fire Tweet ID List) of 14518 tweet IDs, or who were replied to or mentioned in those tweets. 5292 out of 14518 tweets were collected. The network was obtained from Twitter on Tuesday, 29 November 2022 at 21:04 UTC.
The tweets in the network were tweeted over the 59-minute period from Wednesday, 23 November 2022 at 10:00 UTC to Wednesday, 23 November 2022 at 10:59 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 : 2125
Unique Edges : 2121
Edges With Duplicates : 3873
Total Edges : 5994
Number of Edge Types : 5
Tweet : 4314
Retweet : 1209
Replies to : 150
MentionsInRetweet : 181
Mentions : 140
Self-Loops : 4330
Reciprocated Vertex Pair Ratio : 0.0039344262295082
Reciprocated Edge Ratio : 0.00783801436969301
Connected Components : 880
Single-Vertex Connected Components : 547
Maximum Vertices in a Connected Component : 245
Maximum Edges in a Connected Component : 435
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.982173
Graph Density : 0.000339204608397031
Modularity : 0.316066
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=285120
Data Import : The graph represents a network of 2,125 Twitter users whose recent tweets were included in a list (NPR China Cities Prior to Fire Tweet ID List) of 14518 tweet IDs, or who were replied to or mentioned in those tweets. 5292 out of 14518 tweets were collected. The network was obtained from Twitter on Tuesday, 29 November 2022 at 21:04 UTC.
The tweets in the network were tweeted over the 59-minute period from Wednesday, 23 November 2022 at 10:00 UTC to Wednesday, 23 November 2022 at 10:59 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 Cities Prior to Fire 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:
[1514] #上海,#上海线下 [1300] single,husband [1300] husband,twitter [739] #上海线下,#上海 [694] twitter,#上海 [606] twitter,#上海线下 [156] 联系方式,主页简介 [134] detail,love [134] 语嫣,company [134] company,better Top Word Pairs in Tweet in G1:
[1409] #上海,#上海线下 [1300] single,husband [1300] husband,twitter [694] twitter,#上海 [686] #上海线下,#上海 [606] twitter,#上海线下 [134] detail,love [134] 语嫣,company [134] company,better [134] better,detail Top Word Pairs in Tweet in G2:
[142] 联系方式,主页简介 [41] co,hgo0glfjcj [41] hgo0glfjcj,下载后即可观看 [41] #快手约炮app,下载搜索 [41] 关键词,上海pua撩妹 [41] 下载后即可观看,vip视频也可以看哦 [41] 上海pua撩妹,高清完整版链接 [41] 和男友因为买套而吵架的学生妹,最后被疯狂蹂躏内射 [41] 下载搜索,关键词 [41] 教科书教学啪啪,和男友因为买套而吵架的学生妹 Top Word Pairs in Tweet in G3:
[26] 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 [9] 台湾破获一起共谍案,陆军上校承诺北京开战就投降 [8] 北京市民怒骂体制寄生虫,骂得漂亮 [5] 要把台灣送給中共的那些外省人,我可不仇視曹興誠 [5] 你要背叛與出賣台灣,你就是敵人 [5] 他早就是真正的台灣人,是自己人 [5] 你就是自己人,你要背叛與出賣台灣 [5] 這是一個偏誤,我仇的是那些到台灣七十多年還無法認同台灣 [5] 即使他出生北京也不再是外省人,他是台灣人 [5] 他是台灣人,你認同台灣 Top Word Pairs in Tweet in G4:
[52] #上海线下,#上海 [42] thehandmaidstale,#上海线下 [17] #上海,#上海线下 [11] happy,birthday [11] birthday,#上海 [10] #上海线下,#上海同城 [9] kartik,aaryan [9] aaryan,happy [9] wish,kartik [9] fans,wish Top Word Pairs in Tweet in G5:
[49] sushmita,sen's [49] birthday,#上海 [49] #上海,#上海线下 [49] sen's,birthday Top Word Pairs in Tweet in G6:
[42] その一部か政治献金,太陽光発電の部品は新彊ウィグル自治区の強制労働で重篤な人権問題等々 [42] 即中止すべき,石原良純氏 [42] 石原良純さん,弩正論です [42] 太陽光発電の部品は新彊ウィグル自治区の強制労働で重篤な人権問題等々,即中止すべき [42] 弩正論です,また [42] 国民が負担している再エネ賦課金は中国共産党支配下の上海電力等と日本関係企業へ,その一部か政治献金 [42] また,国民が負担している再エネ賦課金は中国共産党支配下の上海電力等と日本関係企業へ [4] japan,桜 [4] front,japan [4] kojihirai6,本編はこちらから Top Word Pairs in Tweet in G7:
[31] tanhua69,shtan0 [31] #深圳高端伴游,#深圳学生 [31] #反差婊,#偷情 [31] 深圳,上海外围约首页置顶联系了解 [31] shtan0,qiguai88 [31] #外围女,#深圳约炮 [31] 真正反差婊,第一次偷情还有点害羞 [31] #深圳学生,#深圳资源 [31] #深圳资源,深圳 [31] 上海外围约首页置顶联系了解,tanhua69 Top Word Pairs in Tweet in G8:
[13] 贪污治罪条例等向罪嫌提起公诉,求刑12年 [13] 银行法,贪污治罪条例等向罪嫌提起公诉 [9] 特评,黄鹤一去不复返 [9] 上海市历经封城后,部分台湾人 [9] 在沪台湾人急售房产求去,中共的清零防疫政策折腾下 [9] 境外客户著急抛售房产,甚至愿意降价求售 [9] 黄鹤一去不复返,白云千载空悠悠 [9] 清零防疫折腾,在沪台湾人急售房产求去 [9] 中共的清零防疫政策折腾下,从上海房屋中介观察 [9] 只求快速脱手,特评 Top Word Pairs in Tweet in G9:
[14] 温柔恬静,身材火辣 [14] 群链接,co [14] bj极品,ren [14] 可纯可欲,温柔恬静 [14] 服务耐心,好评神器 [14] ren,北京172 [14] 好评神器,可纯可欲 [14] 更多资源,主页进群 [14] 气质大米,谈吐优雅 [14] 主页进群,群链接 Top Word Pairs in Tweet in G10:
[4] wqganenshi_,wsdsbs [4] fengsiyuan,tbzt3623 [4] 投稿,fengsiyuan [3] hutuiaitewo,wsdsbs [2] wsdsbs,wx_chihan0 [2] 本月上海约拍,有空的女生私我 [2] jasonji1982,#上海摄影 [2] #系带穿刺,#medicalbdsm [2] #medicalbdsm,#医虐 [2] #母狗,投稿 Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G6:
Top Mentioned in G7:
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: