The graph represents a network of 6,871 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, 17 December 2021 at 15:06 UTC.
The requested start date was Friday, 17 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 31-day, 11-hour, 45-minute period from Monday, 15 November 2021 at 13:09 UTC to Friday, 17 December 2021 at 00:54 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 : 6871
Unique Edges : 7158
Edges With Duplicates : 14231
Total Edges : 21389
Number of Edge Types : 5
Retweet : 3147
MentionsInRetweet : 5249
Tweet : 2100
Mentions : 8620
Replies to : 2273
Self-Loops : 2155
Reciprocated Vertex Pair Ratio : 0.0364895596444077
Reciprocated Edge Ratio : 0.0704098932881221
Connected Components : 1084
Single-Vertex Connected Components : 467
Maximum Vertices in a Connected Component : 3555
Maximum Edges in a Connected Component : 15268
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.828892
Graph Density : 0.000212419474122512
Modularity : 0.43417
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,871 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, 17 December 2021 at 15:06 UTC.
The requested start date was Friday, 17 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 31-day, 11-hour, 45-minute period from Monday, 15 November 2021 at 13:09 UTC to Friday, 17 December 2021 at 00:54 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:
[251] acogaction,acog [244] ãƒ,ム[193] covid,19 [188] abortion,care [185] college,obstetricians [184] acog,long [184] threatens,health [184] health,well [184] well,being [182] obstetricians,gynecologists Top Word Pairs in Tweet in G1:
[248] acogaction,acog [188] abortion,care [184] threatens,health [184] health,well [184] well,being [182] acog,long [182] long,asserted [182] asserted,medically [182] medically,unjustified [182] unjustified,regulation Top Word Pairs in Tweet in G2:
[104] ãƒ,ム[41] acogはいつまでも使えるものだと思っていた,だが違った [34] ak47には,acogサイトつけない方がカッコいいよね [18] acog,scope [18] 主観的武器評価,fal [18] fal,唯一のセミオートａｒ [18] 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 [18] 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 [18] 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 [18] 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 Top Word Pairs in Tweet in G3:
[19] oh,yeah [12] chai,acog [12] acog,gf [12] gf,chai [12] koburner_,manmilk2 [12] scopeymopey,sech28 [12] acog_is_cute,kingoffiziell [10] halo,infinite [10] thataliendude4,koburner_ [8] giving,away Top Word Pairs in Tweet in G4:
[25] abortion,healthcare [16] sami_automatik,feminemiiy [14] codicescriba,solvolva [14] feminemiiy,acog [13] whymaja,codicescriba [13] hellochieftain,beiker000 [13] beiker000,aitorlorda85 [13] aitorlorda85,edenmccourt [13] edenmccourt,groucholiz [11] none,business Top Word Pairs in Tweet in G5:
[18] acog_geek4ever,wizards_magicbr [13] lol,omega [13] acog_geek4ever,omegasurvive [12] concurso,cnbesc [11] streamers,show [10] bom,dia [9] mais,uma [8] votem,votem [8] voto,carmesim [7] quem,puder Top Word Pairs in Tweet in G6:
[22] 101ygaming,sadotthegamer [18] tmeister16,w_acog [13] w_acog,101ygaming [10] 3dworldman,unfunnymeat [10] unfunnymeat,klyxtwit [10] klyxtwit,shirubagaunna [9] doneditboye,3dworldman [9] names_marty,101ygaming [8] spider,man [8] w_acog,names_marty Top Word Pairs in Tweet in G7:
[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 G8:
[32] acog_uk,uk_caa [31] death,sentence [30] airspace,modernisation [24] commonstrans,huwmerriman [23] acog_uk,commonstrans [23] huwmerriman,sustaviation [18] fogatwick,acog_uk [18] goodlawproject,the_aef [18] uk_caa,nats [18] tomtugendhat,gregclarkmp Top Word Pairs in Tweet in G9:
[30] leading,cause [28] cause,death [24] maternal,fetal [22] death,during [22] during,pregnancy [21] louder,lawmakers [21] lawmakers,judges [21] judges,country [21] country,homicide [21] homicide,leading Top Word Pairs in Tweet in G10:
[49] ak,74 [30] m4,carbine [28] black,friday [26] #idlib,akm [24] acog,sight [24] republican,army [23] trijicon,chakral [23] chakral,calibrated [23] calibrated,mineral [23] mineral,acog Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
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: