The graph represents a network of 7,258 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, 07 August 2020 at 13:48 UTC.
The requested start date was Friday, 07 August 2020 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 18-day, 5-hour, 27-minute period from Sunday, 19 July 2020 at 02:41 UTC to Thursday, 06 August 2020 at 08:09 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 : 7258
Unique Edges : 6467
Edges With Duplicates : 11711
Total Edges : 18178
Number of Edge Types : 5
Tweet : 1880
Retweet : 3588
MentionsInRetweet : 5340
Replies to : 2297
Mentions : 5073
Self-Loops : 1899
Reciprocated Vertex Pair Ratio : 0.0489487516425756
Reciprocated Edge Ratio : 0.0933291575321015
Connected Components : 1295
Single-Vertex Connected Components : 601
Maximum Vertices in a Connected Component : 2856
Maximum Edges in a Connected Component : 10883
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.866456
Graph Density : 0.000181863726712985
Modularity : 0.497373
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,258 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, 07 August 2020 at 13:48 UTC.
The requested start date was Friday, 07 August 2020 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 18-day, 5-hour, 27-minute period from Sunday, 19 July 2020 at 02:41 UTC to Thursday, 06 August 2020 at 08:09 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:
[443] take,acog [434] acog,nerf [434] make,speed [432] nerf,gun's [432] gun's,damage [432] damage,change [432] change,gun's [432] gun's,recoil [432] recoil,make [432] speed,dread Top Word Pairs in Tweet in G1:
[61] acog,proud [57] ameracadpeds,acog [51] proud,endorse [46] acogaction,acog [40] acog,mysmfm [30] health,care [29] public,health [27] acog,aafp [27] endorse,resolution [27] resolution,declare Top Word Pairs in Tweet in G2:
[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 [23] ak47には,acogサイトつけない方がカッコいいよね [19] みんなからの匿名質問を募集中,こんな質問に答えてるよ [19] #質問箱,#匿名質問募集中 [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 Top Word Pairs in Tweet in G3:
[425] take,acog [425] acog,nerf [425] nerf,gun's [425] gun's,damage [425] damage,change [425] change,gun's [425] gun's,recoil [425] recoil,make [425] make,speed [425] speed,dread Top Word Pairs in Tweet in G4:
[182] ag,barr [174] secazar,stevefda [145] kristanhawkins,studentsforlife [145] studentsforlife,acog [144] acog,fda [133] appeal,acog [131] barr,secazar [129] fda,decision [115] abortion,lobby [109] ottermatopoeia2,kristanhawkins Top Word Pairs in Tweet in G5:
[335] cause,mortality [335] mortality,kids [335] kids,under [335] under,year [335] year,old [335] old,declined [335] declined,30 [335] 30,during [335] during,lockdown [335] lockdown,evidence Top Word Pairs in Tweet in G6:
[20] gt,gt [10] please,halo [10] halo,look [10] look,good [8] call,duty [8] good,please [6] duty,modern [6] modern,warfare [6] halo,infinite [4] #warzone,#modernwarfare Top Word Pairs in Tweet in G7:
[20] bosg,acog [15] jager,acog [15] acog,back [10] ash,acog [9] give,acog [9] fabianhallsten,bikinibodhi [8] rainbow6game,give [7] rainbow6game,acog [7] add,acog [6] rainbow6game,jager Top Word Pairs in Tweet in G8:
[266] physician,took [266] took,hippocratic [266] hippocratic,oath [266] oath,harm [266] harm,dangerous [266] dangerous,decision [266] decision,allow [266] allow,access [266] access,abortion [266] abortion,drugs Top Word Pairs in Tweet in G9:
[47] trijicon,acog [46] 次に進むため,やっぱり手放すことにしました [46] やっぱり手放すことにしました,使ってくださる方にお譲りしたいです [46] 使ってくださる方にお譲りしたいです,trijicon [46] acog,ta01 [46] ta01,trijicon [46] trijicon,ms04 [46] ms04,gg [46] gg,gマウント [46] gマウント,純正マウントなし Top Word Pairs in Tweet in G10:
[26] srismaell,raphahauerking [26] dia_planinauta,duque_shi [25] torettodking,lorakpinheiro [25] blackerlotusmtg,dia_planinauta [24] raphahauerking,beturba [24] beturba,torettodking [24] lorakpinheiro,antharesgg [24] antharesgg,toller_arthur [24] toller_arthur,blackerlotusmtg [24] duque_shi,cabritomontes Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: