The graph represents a network of 7,354 Twitter users whose tweets in the requested range contained "acog", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 September 2020 at 13:58 UTC.
The requested start date was Friday, 25 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 13-day, 8-hour, 55-minute period from Friday, 11 September 2020 at 14:46 UTC to Thursday, 24 September 2020 at 23:42 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 : 7354
Unique Edges : 6123
Edges With Duplicates : 11515
Total Edges : 17638
Number of Edge Types : 5
Retweet : 4017
MentionsInRetweet : 5487
Tweet : 1852
Replies to : 1811
Mentions : 4471
Self-Loops : 1869
Reciprocated Vertex Pair Ratio : 0.0411399423375471
Reciprocated Edge Ratio : 0.0790286505485142
Connected Components : 1371
Single-Vertex Connected Components : 679
Maximum Vertices in a Connected Component : 3024
Maximum Edges in a Connected Component : 9840
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.682834
Graph Density : 0.000173632551652124
Modularity : 0.500582
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,354 Twitter users whose tweets in the requested range contained "acog", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 September 2020 at 13:58 UTC.
The requested start date was Friday, 25 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 13-day, 8-hour, 55-minute period from Friday, 11 September 2020 at 14:46 UTC to Thursday, 24 September 2020 at 23:42 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 : GraphServerTwitterSearch
Graph Term : acog
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:
[1375] ar15高圧洗車機,acogで狙った所をピンポイントに洗車できます [1374] shang_xyz,ar15高圧洗車機 [448] acogaction,acog [259] forced,sterilization [252] unethical,practice [251] acog,condemns [251] condemns,unethical [251] practice,coercive [251] coercive,forced [251] sterilization,including Top Word Pairs in Tweet in G1:
[1366] ar15高圧洗車機,acogで狙った所をピンポイントに洗車できます [1365] shang_xyz,ar15高圧洗車機 Top Word Pairs in Tweet in G2:
[437] acogaction,acog [250] forced,sterilization [245] unethical,practice [244] acog,condemns [244] condemns,unethical [244] practice,coercive [244] coercive,forced [244] sterilization,including [244] including,hysterectomies [135] life,legacy Top Word Pairs in Tweet in G3:
[21] acogはいつまでも使えるものだと思っていた,だが違った [17] ak47には,acogサイトつけない方がカッコいいよね [16] みんなからの匿名質問を募集中,こんな質問に答えてるよ [16] #質問箱,#匿名質問募集中 [14] acog返して,懇願 [14] 主観的武器評価,fal [14] fal,唯一のセミオートar [14] 唯一のセミオートar,音とリロードモーションがカコイイ [14] 音とリロードモーションがカコイイ,ホロサイトを付けるとなんか強くなるらしい [14] ホロサイトを付けるとなんか強くなるらしい,acog付けたくなる気持ちはわかるけど Top Word Pairs in Tweet in G4:
[142] valk,acog [112] ask,valk [76] acog,ask [51] coconutbrah,rainbow6game [36] rainbow6game,willl [36] willl,ask [28] coconutbrah,charlieintel [22] acog,back [21] give,valk [19] charlieintel,give Top Word Pairs in Tweet in G5:
[10] tyler,herro [6] aim,higher [4] answer,question [4] higher,aim [4] fall,guys [4] travis,scott [4] re,having [4] grocery,store [4] none,business [4] never,seen Top Word Pairs in Tweet in G6:
[10] acesso,antecipado [9] early,access [9] co,dkhitl5dur [8] hoje,tem [8] renascer,zendikar [8] ubisoftbrasil,twitchsie [7] ao,vivo [7] chega,mais [7] pra,jogar [6] gt,gt Top Word Pairs in Tweet in G7:
[184] image,potus [184] potus,used [184] used,support [184] support,troops [184] troops,taken [184] taken,cod [184] cod,mw [184] mw,aside [184] aside,russian [184] russian,mig Top Word Pairs in Tweet in G8:
[41] dr,adeline [41] adeline,fagan [41] fagan,#obgyn [41] #obgyn,lost [41] lost,life [41] life,#covid19 [41] #covid19,remember [41] remember,name [41] name,see [41] see,face Top Word Pairs in Tweet in G9:
[78] absolutely,one [45] gonna,tell [45] tell,kids [44] kids,used [44] used,sight [44] sight,known [44] known,acog [44] shbzz,gonna [42] acog,gone [40] one,asked Top Word Pairs in Tweet in G10:
[41] gillian06872970,acog [36] clitoral,innervation [35] include,clitoral [34] #obgyntwitter,please [34] please,participate [34] participate,twitter [34] twitter,movement [34] movement,acog [34] acog,include [34] innervation,general Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: