The graph represents a network of 5,142 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 Saturday, 07 December 2019 at 05:56 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 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, 2-hour, 59-minute period from Wednesday, 27 November 2019 at 16:31 UTC to Thursday, 05 December 2019 at 19:30 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 : 5142
Unique Edges : 5624
Edges With Duplicates : 2818
Total Edges : 8442
Number of Edge Types : 3
Mentions : 5642
Replies to : 1538
Tweet : 1262
Self-Loops : 1262
Reciprocated Vertex Pair Ratio : 0.0311465836091104
Reciprocated Edge Ratio : 0.060411553709647
Connected Components : 1141
Single-Vertex Connected Components : 665
Maximum Vertices in a Connected Component : 906
Maximum Edges in a Connected Component : 3231
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.439681
Graph Density : 0.000200378119602095
Modularity : 0.615669
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,142 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 Saturday, 07 December 2019 at 05:56 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 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, 2-hour, 59-minute period from Wednesday, 27 November 2019 at 16:31 UTC to Thursday, 05 December 2019 at 19:30 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:
[1543] hong,kong [774] never,forget [772] kong,police [771] forget,week [771] week,ago [771] ago,small [771] small,move [771] move,hong [771] kong,district [771] district,election Top Word Pairs in Tweet in G1:
[1543] hong,kong [772] kong,police [771] never,forget [771] forget,week [771] week,ago [771] ago,small [771] small,move [771] move,hong [771] kong,district [771] district,election Top Word Pairs in Tweet in G2:
[61] bosg,acog [16] 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 [16] #質問箱,#匿名質問募集中 [13] レインボーシックス,シージ [12] acogはいつまでも使えるものだと思っていた,だが違った [11] ak47には,acogサイトつけない方がカッコいいよね [9] シージ,新シーズン開幕に向けたアップデート情報が公開 [9] 新シーズン開幕に向けたアップデート情報が公開,ジャッカルの追跡機能が弱体化 [9] ジャッカルの追跡機能が弱体化,一部ショットガンにacog搭載など [8] acog,bosg Top Word Pairs in Tweet in G3:
[140] bosg,acog [40] suck,acog [37] bikinibodhi,suck [35] rainbow6game,maestro [34] loses,acog [32] maestro,loses [31] watch,play [31] play,rainbow6game [30] bikinibodhi,watch [23] acog,need Top Word Pairs in Tweet in G4:
[28] acogaction,acog [27] acog,acogaction [17] amicus,brief [17] brief,case [17] case,#junevgee [16] acog,13 [16] 13,medical [15] medical,orgs [15] orgs,filed [15] filed,scotus Top Word Pairs in Tweet in G5:
[220] detailed,research [220] research,testing [220] testing,come [220] come,conclusion [220] conclusion,desert [220] desert,eagle [220] eagle,acog [220] acog,ready [219] meatymarley,detailed [219] ready,implimente Top Word Pairs in Tweet in G6:
[190] ป,ข [190] ข,นไปตรวจเต [189] โดยสร,ป [189] ป,อย [189] อย,าเพ [189] าเพ,งตกใจ [189] งตกใจ,ส [189] ส,งท [189] งท,ควรทำค [189] ควรทำค,อตรวจเต Top Word Pairs in Tweet in G7:
[10] gt,gt [5] acog,scope [5] vlk,0x [4] weeknd,dropping [4] social,media [4] atlanta,niggas [4] give,man [4] same,people [4] right,head [4] head,space Top Word Pairs in Tweet in G8:
[25] acog,amermedicalassn [24] amermedicalassn,dupagecms [24] ap,bbc [24] bbc,cnn [21] dupagecms,financialtimes [18] nytimes,ap [18] #health,#healthcare [17] cnn,msnbc [17] thehill,thetimes [15] financialtimes,reuters Top Word Pairs in Tweet in G9:
[45] アフガン陸軍には主に二つの部隊,sf [45] sf,がいて [45] がいて,一つはコマンド [45] 一つはコマンド,一枚目 [45] 一枚目,もう一つはパートナーユニットという名前です [45] もう一つはパートナーユニットという名前です,コマンドは一般部隊と任務が重複しているのでacogを装着して中距離戦も視野に入れています [44] higurashi628417,アフガン陸軍には主に二つの部隊 [44] コマンドは一般部隊と任務が重複しているのでacogを装着して中距離戦も視野に入れています,対してパートナーはcqbが主な任 [30] エボギア,exps3 [30] exps3,シリーズ Top Word Pairs in Tweet in G10:
[38] wamaiでオールキルした,最近等倍練習してて偉い [38] 最近等倍練習してて偉い,その代わりにacog下手になった [37] salmon_pubg,wamaiでオールキルした [32] acogフリック,久しぶりに強かった [32] 久しぶりに強かった,rtrtrtrtrtrt [31] tfoa_50,acogフリック [12] #ps4share,レインボーシックスシージ [12] レインボーシックスシージ,r6s [12] r6s,シージ [12] シージ,懐かしのr4 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: