The graph represents a network of 6,911 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, 24 December 2021 at 15:08 UTC.
The requested start date was Friday, 24 December 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 33-day, 6-hour, 22-minute period from Saturday, 20 November 2021 at 17:59 UTC to Friday, 24 December 2021 at 00:21 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 : 6911
Unique Edges : 6957
Edges With Duplicates : 14482
Total Edges : 21439
Number of Edge Types : 5
Retweet : 3072
MentionsInRetweet : 5102
Replies to : 2324
Mentions : 8779
Tweet : 2162
Self-Loops : 2220
Reciprocated Vertex Pair Ratio : 0.0358710782739051
Reciprocated Edge Ratio : 0.0692578044242299
Connected Components : 1080
Single-Vertex Connected Components : 452
Maximum Vertices in a Connected Component : 3301
Maximum Edges in a Connected Component : 14352
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.853876
Graph Density : 0.000202575604109391
Modularity : 0.425594
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,911 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, 24 December 2021 at 15:08 UTC.
The requested start date was Friday, 24 December 2021 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 33-day, 6-hour, 22-minute period from Saturday, 20 November 2021 at 17:59 UTC to Friday, 24 December 2021 at 00:21 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:
[244] ãƒ,ム[240] acogaction,acog [192] covid,19 [188] abortion,care [185] well,being [184] acog,long [184] threatens,health [184] health,well [182] washingtonpost,nytimes [182] long,asserted Top Word Pairs in Tweet in G1:
[231] acogaction,acog [187] abortion,care [184] well,being [183] threatens,health [183] health,well [181] acog,long [181] long,asserted [181] asserted,medically [181] medically,unjustified [181] unjustified,regulation Top Word Pairs in Tweet in G2:
[104] ãƒ,ム[43] acogはいつまでも使えるものだと思っていた,だが違った [35] ak47には,acogサイトつけない方がカッコいいよね [19] 主観的武器評価,fal [19] fal,唯一のセミオートａｒ [19] 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 [19] 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 [19] 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 [19] ａｃｏｇ付けたくなる気持ちはわかるけど,元の反動が結構強いから [19] 元の反動が結構強いから,ω Top Word Pairs in Tweet in G3:
[10] halo,infinite [8] giving,away [8] years,ago [8] call,duty [6] happy,thanksgiving [6] ago,today [6] ast,reb [6] gt,gt [6] cod,points [5] pts,ast Top Word Pairs in Tweet in G4:
[23] abortion,healthcare [16] sami_automatik,feminemiiy [14] feminemiiy,acog [13] none,business [13] whymaja,codicescriba [13] codicescriba,solvolva [13] hellochieftain,beiker000 [13] beiker000,aitorlorda85 [13] aitorlorda85,edenmccourt [13] edenmccourt,groucholiz Top Word Pairs in Tweet in G5:
[18] acog_geek4ever,wizards_magicbr [12] lol,omega [11] carolanet,acog_geek4ever [10] bom,dia [10] streamers,show [10] beturba,dea_pecuniae [10] dea_pecuniae,dudaweizenmann [10] dudaweizenmann,carolanet [10] playingalot,kozistranslator [9] hoje,dia Top Word Pairs in Tweet in G6:
[39] bosg,acog [22] acog,fight [21] never,thought [21] thought,iâ [21] iâ,see [21] see,day [21] day,10 [21] 10,man [21] man,bosg [20] bikinibodhi,never Top Word Pairs in Tweet in G7:
[22] 101ygaming,sadotthegamer [18] tmeister16,w_acog [13] w_acog,101ygaming [11] spider,man [10] 3dworldman,unfunnymeat [10] unfunnymeat,klyxtwit [10] klyxtwit,shirubagaunna [9] doneditboye,3dworldman [9] names_marty,101ygaming [8] w_acog,names_marty Top Word Pairs in Tweet in G8:
[35] acog_uk,uk_caa [35] airspace,modernisation [31] death,sentence [24] commonstrans,huwmerriman [23] acog_uk,commonstrans [23] huwmerriman,sustaviation [21] bakerainlondon,acog_uk [19] uk_caa,nats [18] robertcourts,goodlawproject [18] goodlawproject,the_aef Top Word Pairs in Tweet in G9:
[181] washingtonpost,nytimes [177] ap,bbc [177] msnbc,thehill [174] bbc,cnn [166] cnn,msnbc [165] business,ap [165] thehill,acog [164] acog,amermedicalassn [157] nytimes,financialtimes [153] reuters,business Top Word Pairs in Tweet in G10:
[8] amcollsurgeons,theaaes [8] theaaes,asbrs [7] launched,registry [7] registry,assess [7] assess,safety [7] safety,#hcv [7] #hcv,treatment [7] treatment,pregnant [7] pregnant,women [7] very,proud Top Replied-To in Entire Graph:
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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 G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: