The graph represents a network of 7,205 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, 03 September 2021 at 14:02 UTC.
The requested start date was Friday, 03 September 2021 at 09:25 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 9-hour, 49-minute period from Monday, 16 August 2021 at 18:45 UTC to Friday, 03 September 2021 at 04:35 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 : 7205
Unique Edges : 6553
Edges With Duplicates : 12627
Total Edges : 19180
Number of Edge Types : 5
Retweet : 3607
MentionsInRetweet : 5647
Replies to : 2253
Mentions : 5980
Tweet : 1693
Self-Loops : 1718
Reciprocated Vertex Pair Ratio : 0.0340242881072027
Reciprocated Edge Ratio : 0.0658094563126455
Connected Components : 1095
Single-Vertex Connected Components : 497
Maximum Vertices in a Connected Component : 4499
Maximum Edges in a Connected Component : 15559
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.433293
Graph Density : 0.00019029061270225
Modularity : 0.469513
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 7,205 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, 03 September 2021 at 14:02 UTC.
The requested start date was Friday, 03 September 2021 at 09:25 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 9-hour, 49-minute period from Monday, 16 August 2021 at 18:45 UTC to Friday, 03 September 2021 at 04:35 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 : 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:
[348] 600,000 [346] 000,physicians [346] physicians,medical [340] practice,medicine [339] clear,attack [339] attack,practice [338] represents,clear [338] medicine,country [338] country,decades [338] decades,established Top Word Pairs in Tweet in G1:
[161] acog,mysmfm [93] pregnant,women [80] covid,19 [48] during,pregnancy [42] #vaccine,recommended [41] refused,long [41] long,make [39] saved,#vaccine [39] make,recommendation [38] recommended,acog Top Word Pairs in Tweet in G2:
[304] 600,000 [304] 000,physicians [304] physicians,medical [303] joint,statement [302] today,leading [302] leading,medical [302] medical,organizations [302] organizations,representing [302] representing,over [302] over,600 Top Word Pairs in Tweet in G3:
[27] acogはいつまでも使えるものだと思っていた,だが違った [20] ak47には,acogサイトつけない方がカッコいいよね [16] covid,19 [12] 主観的武器評価,fal [12] fal,唯一のセミオートａｒ [12] 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 [12] 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 [12] 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 [12] 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 [12] 元の反動が結構強いから,ω Top Word Pairs in Tweet in G4:
[107] theleadcnn,jaketapper [97] #icu,beds [96] always,appreciate [96] appreciate,chance [96] chance,talk [96] talk,#covid19 [96] #covid19,theleadcnn [96] jaketapper,#alabama [96] #alabama,deficit [96] deficit,60 Top Word Pairs in Tweet in G5:
[23] maestro,acog [20] receive,maestro [20] acog,ok [20] ok,receive [20] receive,20 [20] 20,bullets [20] bullets,mag [20] mag,deal [20] deal,rainbow6game [20] ash,acog Top Word Pairs in Tweet in G6:
[16] chega,mais [16] picoca,ffinhaontwitch [11] ffinhaontwitch,tunimalmighty [10] hoje,tem [10] toquinha_man,picoca [10] ao,vivo [9] agora,só [8] bom,dia [8] estamos,ao [8] live,em Top Word Pairs in Tweet in G7:
[8] call,duty [4] million,month [4] good,morning [4] gaming,pc [3] duty,vanguard [3] world,champ [3] coconutbrah,valk [3] valk,acog [3] acog,gfuel [3] gfuel,acog Top Word Pairs in Tweet in G8:
[10] rod49_j,the_real_bim [10] pro13a,aquariangoat79 [8] vixmcintyre,pro13a [8] mathmomma24,heather_leisure [7] heather_leisure,akfeministfrog [7] shsh47678048,epitomeof3 [7] epitomeof3,auntylift [7] auntylift,paulstetson13 [6] 57,000 [6] health,care Top Word Pairs in Tweet in G9:
[8] w_acog,ayosloppy [6] talk,shit [5] ecliptor3,w_acog [5] struggler2dark,w_acog [4] shut,fuck [4] spider,man [4] slashbeuh,ecliptor3 [4] ecliptor3,ayosloppy [4] foxscrubbruh,dumbassraccoon [4] alexitomlg_3,paceplusle Top Word Pairs in Tweet in G10:
[74] ex,ana [74] ana,sof [73] #afghanistan,panjshir [73] panjshir,valley [73] valley,fighter [73] fighter,entrance [73] entrance,gate [73] gate,valley [73] valley,looks [73] looks,one Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Mentioned in G3:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: