The graph represents a network of 4,810 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 May 2020 at 13:44 UTC.
The requested start date was Friday, 29 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-day, 20-hour, 14-minute period from Wednesday, 20 May 2020 at 03:44 UTC to Thursday, 28 May 2020 at 23:58 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 : 4810
Unique Edges : 4021
Edges With Duplicates : 6663
Total Edges : 10684
Number of Edge Types : 5
Replies to : 1452
Mentions : 2210
Retweet : 2356
MentionsInRetweet : 3164
Tweet : 1502
Self-Loops : 1514
Reciprocated Vertex Pair Ratio : 0.0340160936356986
Reciprocated Edge Ratio : 0.0657941280509374
Connected Components : 965
Single-Vertex Connected Components : 526
Maximum Vertices in a Connected Component : 1386
Maximum Edges in a Connected Component : 3676
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.3852
Graph Density : 0.000244430812116402
Modularity : 0.523924
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,810 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 May 2020 at 13:44 UTC.
The requested start date was Friday, 29 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-day, 20-hour, 14-minute period from Wednesday, 20 May 2020 at 03:44 UTC to Thursday, 28 May 2020 at 23:58 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 G2:
[45] acogはいつまでも使えるものだと思っていた,だが違った [40] ak47には,acogサイトつけない方がカッコいいよね [39] during,pregnancy [28] 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 [26] #質問箱,#匿名質問募集中 [23] new2trip,tobacco [22] tobacco,nicotine [21] nicotine,cessation [21] cessation,during [20] 主観的武器評価,fal Top Word Pairs in Tweet in G3:
[15] acogaction,acog [11] more,hcps [10] hcps,know [9] know,screen [9] screen,#intimatepartnerviolence [6] #intimatepartnerviolence,check [6] check,acog [6] acog,validated [6] validated,tool [6] covid_wi,more Top Word Pairs in Tweet in G4:
[102] おはようございます,ﾉ [79] ｱ,ｱ [79] nagmom,おはようございます [79] レインボーシックス,シージ [79] 10万円,わたし [79] #どうぶつの森,#animalcrossing [79] #animalcrossing,#acnh [79] #acnh,#nintendoswitch [79] ﾉ,週の真ん中 [78] 週の真ん中,ω Top Word Pairs in Tweet in G5:
[10] リーク,y5s3のバランス調整 [7] y5s3のバランス調整,ノックの武器にpdw9 [5] ノックの武器にpdw9,acogなし [4] acogなし,が追加 [4] が追加,タチャンカの強化 [4] タチャンカの強化,ウォーデンの強化 [4] at_sign_mark,リーク [4] リーク,y5s2のバランス調整 [4] y5s2のバランス調整,doc [4] doc,足2体2に Top Word Pairs in Tweet in G6:
[242] qntorn,リージョンのメイン武器にacog付いててエラのスコーピオンにacog付いてるとかヤバすぎるｗｗｗｗｗｗ [242] jager,acog [242] tarkov,jager [242] acezproduction,tarkov [242] years,investigating [242] investigating,jäger [242] jäger,finally [2] finally,tracks [2] tracks,down [2] down,thief Top Word Pairs in Tweet in G7:
[95] acog를,잃습니다 [71] 트위치가,acog를 [70] 잃습니다,공격팀으로써는 [69] 공격팀으로써는,애쉬를 [39] 애쉬를,이어 [39] 이어,두번째로 [39] 두번째로,acog를 [39] regsikbot,트위치가 [39] acog,없어진다는 [39] 없어진다는,소리를 Top Word Pairs in Tweet in G8:
[180] gear,ta [90] 大変おまたせしました,evolution [90] evolution,gear [90] ta,31タイプacogサイトが入荷しました [90] 31タイプacogサイトが入荷しました,レンズの透明度やアイリリーフなど全体のクオリティが従来のレプリカとは比べ物になりません [90] レンズの透明度やアイリリーフなど全体のクオリティが従来のレプリカとは比べ物になりません,動画もご用意致しておりますのでスレッドをご確認ください [90] ms_flw,大変おまたせしました [89] 動画もご用意致しておりますのでスレッドをご確認ください,#フェ [85] エボギアのacogとても良いです,レンズのクリア度も実物と比べても負けなてない [85] m48288841,エボギアのacogとても良いです Top Word Pairs in Tweet in G9:
[108] gt,gt [99] ok,ok [99] win,rookie [99] call,duty [99] duty,league [99] eating,whole [98] whole,thing [98] thing,powdered [20] powdered,donuts [19] more,#warzone Top Word Pairs in Tweet in G10:
[8] aagl,gynsurgery [4] gynsurgery,fmigs1 [4] aagl,acog [3] acog,obgyntracking [3] obgyntracking,aagl [2] fmigs1,fpmrs [2] fpmrs,sgo_org [2] gynsurgery,aagl [2] #interns,welcome [2] welcome,apps 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:
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:
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Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: