The graph represents a network of 7,076 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, 29 October 2021 at 14:05 UTC.
The requested start date was Friday, 29 October 2021 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 28-day, 2-hour, 0-minute period from Thursday, 30 September 2021 at 22:00 UTC to Friday, 29 October 2021 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 : 7076
Unique Edges : 8161
Edges With Duplicates : 12502
Total Edges : 20663
Number of Edge Types : 5
Mentions : 8791
Tweet : 2100
Replies to : 2028
Retweet : 3070
MentionsInRetweet : 4674
Self-Loops : 2149
Reciprocated Vertex Pair Ratio : 0.0327290076335878
Reciprocated Edge Ratio : 0.0633835350642151
Connected Components : 1042
Single-Vertex Connected Components : 489
Maximum Vertices in a Connected Component : 3328
Maximum Edges in a Connected Component : 13745
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 4.724696
Graph Density : 0.000216188899120503
Modularity : 0.48394
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,076 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, 29 October 2021 at 14:05 UTC.
The requested start date was Friday, 29 October 2021 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 28-day, 2-hour, 0-minute period from Thursday, 30 September 2021 at 22:00 UTC to Friday, 29 October 2021 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:
[643] trijicon,acog [544] rifle,trijicon [539] acog,4x32 [535] super,duty [534] geissele,super [533] win,geissele [533] duty,rifle [533] 4x32,scope [479] #trijicon,#acog [475] entered,win Top Word Pairs in Tweet in G1:
[144] cdcgov,acog [123] covid,19 [99] acog,mysmfm [97] #covid19,vaccination [84] pregnant,people [63] pregnant,persons [63] pregnant,women [57] #obgyns,working [57] working,hard [57] hard,improve Top Word Pairs in Tweet in G2:
[520] trijicon,acog [518] super,duty [517] geissele,super [517] rifle,trijicon [516] win,geissele [516] duty,rifle [516] acog,4x32 [516] 4x32,scope [479] #trijicon,#acog [472] entered,win Top Word Pairs in Tweet in G3:
[42] 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 [21] trijicon,acog [19] 主観的武器評価,fal [19] fal,唯一のセミオートａｒ [19] 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 [19] 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 [19] 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 [19] 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 [19] 元の反動が結構強いから,ω Top Word Pairs in Tweet in G4:
[18] squid,game [17] call,duty [9] battlefield,2042 [8] halo,infinite [7] required,space [6] gb,download [6] 10,years [6] hoyeon,jung [6] jung,squid [6] game,star Top Word Pairs in Tweet in G5:
[21] 24,weeks [15] rcog,acog [12] safer,tylenol [12] tylenol,aspirin [12] aspirin,ibuprofen [12] ibuprofen,yes [12] yes,mifepristone [12] mifepristone,needs [12] needs,widely [12] widely,available Top Word Pairs in Tweet in G6:
[9] furioussupreme,ecliptor3 [8] spider,man [8] luayyagami,furioussupreme [8] ecliptor3,davixander_ [7] halloween,pass [6] w_acog,luayyagami [5] alex_da_guy,richey099 [5] richey099,omabakeikaku [5] w_acog,solarmoi [5] solarmoi,_sweetkarma_ Top Word Pairs in Tweet in G7:
[8] bom,dia [6] não,tem [5] live,terror [5] vamos,live [5] portfólio,projeto [5] projeto,magic [5] magic,idealizado [5] idealizado,pela [5] pela,carola [5] carola,acog_geek4ever Top Word Pairs in Tweet in G8:
[38] men,buy [38] buy,60 [38] 60,video [38] video,game [38] game,use [38] use,ak [38] ak,acog [38] acog,go [38] go,fishing [38] fishing,cuba Top Word Pairs in Tweet in G9:
[16] kevinault,acog [4] go,acog [4] acog,#acogfightsflu [3] kevinault,go [3] barryesharp,kevinault [3] acog,explain [3] explain,astrazeneca [3] astrazeneca,withdrawn [3] withdrawn,moderna [3] moderna,bans Top Word Pairs in Tweet in G10:
[11] momjyk,montanablack [4] komalbajajmd,nychealthsystem [4] nychealthsystem,acog [4] acog,thenasem [4] thenasem,cmssmed [4] crowielive,momjyk [4] acog_is_cute,momjyk [4] acog_is_cute,domtendo [3] cmssmed,thank [3] thank,much Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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