The graph represents a network of 6,370 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, 30 July 2021 at 14:06 UTC.
The requested start date was Friday, 30 July 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 25-day, 2-hour, 17-minute period from Sunday, 04 July 2021 at 21:42 UTC to Friday, 30 July 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 : 6370
Unique Edges : 5921
Edges With Duplicates : 11684
Total Edges : 17605
Number of Edge Types : 5
Tweet : 2163
Replies to : 2984
Retweet : 2709
MentionsInRetweet : 3734
Mentions : 6015
Self-Loops : 2198
Reciprocated Vertex Pair Ratio : 0.0642595631864664
Reciprocated Edge Ratio : 0.120759193357058
Connected Components : 984
Single-Vertex Connected Components : 412
Maximum Vertices in a Connected Component : 2254
Maximum Edges in a Connected Component : 7801
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.416334
Graph Density : 0.000207786292168231
Modularity : 0.450534
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,370 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, 30 July 2021 at 14:06 UTC.
The requested start date was Friday, 30 July 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 25-day, 2-hour, 17-minute period from Sunday, 04 July 2021 at 21:42 UTC to Friday, 30 July 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:
[412] ãƒ,ム[151] covid,19 [128] american,college [122] trijicon,acog [110] codとかファークライで敵がよく持ってる,とりあえずacog載せた [110] とりあえずacog載せた,みたいなカスタムされてるakm [110] みたいなカスタムされてるakm,で拾う [109] tf8492,codとかファークライで敵がよく持ってる [108] obstetrics,gynecology [106] 19,vaccines Top Word Pairs in Tweet in G1:
[68] over,counter [60] women,uk [60] uk,countries [60] countries,buy [60] buy,#birthcontrol [60] #birthcontrol,pill [60] pill,over [59] nathaliemolina,women [50] gynsurgery,aagl [48] acog,mysmfm Top Word Pairs in Tweet in G2:
[200] ãƒ,ム[109] codとかファークライで敵がよく持ってる,とりあえずacog載せた [109] とりあえずacog載せた,みたいなカスタムされてるakm [109] みたいなカスタムされてるakm,で拾う [108] tf8492,codとかファークライで敵がよく持ってる [99] naotoaitai,案の定目線がacogと合ってなくて草 [73] œã,ç [49] やはり確認してみたけど,このタリバンの写真はやはり格好付けてるだけの宣伝用の写真かもしれない [49] このタリバンの写真はやはり格好付けてるだけの宣伝用の写真かもしれない,目線を確認してもacogは勿論 [49] 目線を確認してもacogは勿論,アイアンサイトも覗いてない Top Word Pairs in Tweet in G3:
[113] ãƒ,ム[38] 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] ak47には,acogサイトつけない方がカッコいいよね [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:
[24] forgetfullotter,w_acog [23] ripcity_revival,forgetfullotter [23] cameron101298,w_acog [22] kingtrollgod,ripcity_revival [22] ripcity_revival,w_acog [20] fuck,pizza [20] pizza,hut [20] hut,fuck [20] eerk_en,bobthegod959 [19] nerdstuff01,ripcity_revival Top Word Pairs in Tweet in G5:
[6] call,duty [4] turned,down [4] free,throw [4] giving,away [4] activision,blizzard [4] halo,infinite [4] nintendo,switch [4] switch,oled [4] day,day [4] group,chat Top Word Pairs in Tweet in G6:
[10] bom,dia [9] krolquintana,edgard_piccoli [8] chega,mais [8] forças,armadas [8] live,hoje [8] forgotten,realms [6] coisa,mais [6] hoje,tem [6] hoje,dia [6] ao,vivo Top Word Pairs in Tweet in G7:
[10] health,care [10] medstudente,leahntorres [9] ismatthewmcg,medstudente [9] leahntorres,acog [8] abortion,essential [8] essential,component [8] component,women [8] women,health [5] acog,members [5] well,acog Top Word Pairs in Tweet in G8:
[23] today,potus [23] potus,ended [23] ended,harmful [23] harmful,policy [23] policy,detention [23] detention,undocumented [23] undocumented,pregnant [23] pregnant,nursing [23] nursing,postpartum [23] postpartum,individuals Top Word Pairs in Tweet in G9:
[10] rainbow6game,give [9] acog,back [5] valk,acog [5] buck,acog [4] back,acog [4] channel,video [4] doc,acog [4] give,buck [4] ãƒ,ム[3] give,capitao Top Word Pairs in Tweet in G10:
[25] #idlib,#syria [24] rare,sighting [24] sighting,fsb [24] fsb,officers [24] officers,acog [23] 事態がさらに進行すると,致死性手段としてacogサイト装備のl129a1シャープシューターライフルに切り替える [23] 致死性手段としてacogサイト装備のl129a1シャープシューターライフルに切り替える,これは機内の安定した銃架に設置され座った状態で狙うことができた [23] これは機内の安定した銃架に設置され座った状態で狙うことができた,l129a1が何らかの理由で使用できない場合 [23] l129a1が何らかの理由で使用できない場合,または [23] ralee85,rare Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: