The graph represents a network of 6,454 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, 01 April 2022 at 14:01 UTC.
The requested start date was Friday, 01 April 2022 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 17-day, 21-hour, 44-minute period from Monday, 14 March 2022 at 02:16 UTC to Friday, 01 April 2022 at 00:00 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 : 6454
Unique Edges : 6029
Edges With Duplicates : 12292
Total Edges : 18321
Number of Edge Types : 5
Replies to : 3007
Retweet : 2758
MentionsInRetweet : 4173
Mentions : 6520
Tweet : 1863
Self-Loops : 1893
Reciprocated Vertex Pair Ratio : 0.0514386376981797
Reciprocated Edge Ratio : 0.0978442980006702
Connected Components : 795
Single-Vertex Connected Components : 347
Maximum Vertices in a Connected Component : 3491
Maximum Edges in a Connected Component : 13748
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.988706
Graph Density : 0.000214970050419637
Modularity : 0.44415
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,454 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, 01 April 2022 at 14:01 UTC.
The requested start date was Friday, 01 April 2022 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 17-day, 21-hour, 44-minute period from Monday, 14 March 2022 at 02:16 UTC to Friday, 01 April 2022 at 00:00 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:
[441] red,dot [425] acog,scopes [418] dot,sights [414] sights,acog [412] dozen,red [412] scopes,10 [412] 10,collapsible [412] collapsible,stocks [412] stocks,close [412] close,urban Top Word Pairs in Tweet in G1:
[53] acog_geek4ever,linndaquebrada [26] não,tem [26] eu,não [24] os,meninos [22] minha,mãe [20] isso,não [20] pra,mim [17] siteptbr,daniellenhardt_ [16] quem,não [16] ele,não Top Word Pairs in Tweet in G2:
[75] welcome,#obgyn [75] congratulations,welcome [74] #obgyn,specialty [69] acog,acogaction [61] repgrothman,acog [55] #intothelight,act [53] acogaction,today [45] act,improve [45] meeting,acogaction [43] today,talk Top Word Pairs in Tweet in G3:
[413] red,dot [412] acog,scopes [409] dot,sights [405] dozen,red [405] sights,acog [405] scopes,10 [405] 10,collapsible [405] collapsible,stocks [405] stocks,close [405] close,urban Top Word Pairs in Tweet in G4:
[108] secularprolife,acog [44] acog,desperate [43] desperate,control [43] control,language [43] language,claim [43] claim,replace [43] replace,emotion [43] emotion,neutrality [42] neutrality,reall [42] matt_blumenthal,acog Top Word Pairs in Tweet in G5:
[29] ak47には,acogサイトつけない方がカッコいいよね [25] acogはいつまでも使えるものだと思っていた,だが違った [13] acog,scope [13] 主観的武器評価,fal [13] fal,唯一のセミオートａｒ [13] 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 [13] 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 [13] 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 [13] 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 [13] 元の反動が結構強いから,ω Top Word Pairs in Tweet in G6:
[45] acog,amermedicalassn [43] washingtonpost,nytimes [39] ap,bbc [39] bbc,cnn [39] msnbc,thehill [37] nytimes,financialtimes [37] thehill,acog [36] reuters,business [36] business,ap [34] financialtimes,wsjhealth Top Word Pairs in Tweet in G7:
[13] call,duty [6] special,giveaway [6] re,giving [6] modern,warfare [6] tyreek,hill [6] challenger,cup [6] #drownthemout,#cdl2022 [6] playstation,plus [4] 000,followers [4] followers,special Top Word Pairs in Tweet in G8:
[6] sports,rollbots [6] rollbots,sale [4] sale,starts [4] whitelist,presale [4] presale,19 [4] 19,30pm [4] 30pm,utc [4] utc,public [4] public,sale [4] sale,20 Top Word Pairs in Tweet in G9:
[141] sig,mcx [85] srd556,qd [81] acog,4x32 [81] rmr,steiner [81] steiner,dbal [81] dbal,a3 [81] qd,suppressor [80] sof,member [80] member,irpin [80] irpin,near Top Word Pairs in Tweet in G10:
[91] american,college [91] college,obstetrics [91] obstetrics,gynecology [91] gynecology,call [91] call,unborn [91] unborn,child [91] child,baby [89] lifenewshq,american [22] acog,calls [22] calls,killing Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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: