The graph represents a network of 6,907 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, 11 March 2022 at 15:03 UTC.
The requested start date was Friday, 11 March 2022 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 24-day, 0-hour, 37-minute period from Tuesday, 15 February 2022 at 00:22 UTC to Friday, 11 March 2022 at 00:59 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 : 6907
Unique Edges : 6446
Edges With Duplicates : 11482
Total Edges : 17928
Number of Edge Types : 5
Replies to : 2712
Retweet : 2898
MentionsInRetweet : 4317
Mentions : 6101
Tweet : 1900
Self-Loops : 1926
Reciprocated Vertex Pair Ratio : 0.0444269485997076
Reciprocated Edge Ratio : 0.0850743054059875
Connected Components : 939
Single-Vertex Connected Components : 394
Maximum Vertices in a Connected Component : 3886
Maximum Edges in a Connected Component : 13195
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.535182
Graph Density : 0.000194676105376
Modularity : 0.482965
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,907 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, 11 March 2022 at 15:03 UTC.
The requested start date was Friday, 11 March 2022 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 24-day, 0-hour, 37-minute period from Tuesday, 15 February 2022 at 00:22 UTC to Friday, 11 March 2022 at 00:59 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:
[435] maguro_control,何故そこにacog付けたんだよ [391] ãƒ,ム[130] ðÿÿ,ðÿÿ [110] acog,back [109] vengo,recordarles [109] recordarles,acog [109] acog,maneja [109] maneja,frecuencia [109] frecuencia,cardíaca [109] cardíaca,fetal Top Word Pairs in Tweet in G1:
[52] obstetrics,gynecology [45] prenatal,care [37] care,patients [37] asbryantmantha,ginanorthington [37] acogaction,acog [36] betsey,lucy [33] history,racism [33] lmserwatka,acog [30] gynecology,long [30] long,history Top Word Pairs in Tweet in G2:
[130] ðÿÿ,ðÿÿ [18] não,tem [17] pra,mim [15] esse,povo [15] eu,não [14] ana,clara [13] ele,não [13] jogue,agora [13] agora,em [13] lud_acl,acog_geek4ever Top Word Pairs in Tweet in G3:
[433] maguro_control,何故そこにacog付けたんだよ [8] kitsunetennouji,acogのアイリリーフの短さナメんなw [6] マジレスするとオプティックが破損した際バックアップとして比較的高精度なピープサイトを使うという前提ならば,この場合破損したacogは取り外して射撃する理に適ってないではない [6] この場合破損したacogは取り外して射撃する理に適ってないではない,貧乏だから純正品を使おうということかな [5] nlaw対戦車ミサイルのサイトって,acogなのね [5] ãƒ,ム[5] kyuumarutk,マジレスするとオプティックが破損した際バックアップとして比較的高精度なピープサイトを使うという前提ならば [5] 貧乏だから純正品を使おうということかな,まあアイレリーフとかどうな [4] asyura099852,nlaw対戦車ミサイルのサイトって [4] miho__hayato,クソリプですがacogはマウント外せばarのキャリハン上に直接マウントできますよ Top Word Pairs in Tweet in G4:
[160] ãƒ,ム[31] ak47には,acogサイトつけない方がカッコいいよね [28] acogはいつまでも使えるものだと思っていた,だが違った [27] µã,トã [20] ªã,æ [19] trijicon,acog [17] acogã,µã [17] トã,ªã [15] ÿã,ªã [15] 主観的武器評価,fal Top Word Pairs in Tweet in G5:
[23] rcog,acog [11] obstetricians,gynecologists [9] 60,000 [8] 000,obstetricians [6] know,more [6] vital,reducing [6] reducing,maternal [6] bch1066,kristanhawkins [5] 24,weeks [5] differentiate,stimuli Top Word Pairs in Tweet in G6:
[78] acog,back [75] think,time [75] time,ubisoft [75] ubisoft,gives [75] gives,jäger [75] jäger,acog [74] dawnofshadow,think [45] fell,ratio [45] ratio,white [45] asked,deez Top Word Pairs in Tweet in G7:
[8] m40,acog [8] modernwarzone,m40 [5] call,duty [4] team,packs [4] air,max [4] russell,westbrook [4] cod,2023 [4] ben,simmons [4] james,harden [4] vegas,reportedly Top Word Pairs in Tweet in G8:
[79] #ukraine,ua [79] ua,sof [79] sof,suppressed [79] suppressed,sig [79] sig,mcx [79] mcx,acog [79] acog,note [79] note,mini [79] mini,rds [79] rds,peq Top Word Pairs in Tweet in G9:
[106] aafp,acpinternists [105] acpinternists,aoafordos [99] acog,aafp [98] aoafordos,apapsychiatric [57] ameracadpeds,acog [48] aap,joins [48] joins,acog [48] apapsychiatric,strongly [48] strongly,opposing [48] opposing,efforts Top Word Pairs in Tweet in G10:
[14] lexrogue00,waffle155 [14] waffle155,teamrespawntv [14] teamrespawntv,gamespot [10] abc,cbsnews [10] indiancountry,nativenews_net [10] snma,lmsanational [9] drcaliff_fda,potus [9] gretchencarlson,abc [9] cbsnews,nbcutelemundo [8] thedj343,babuudaikustan Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: