The graph represents a network of 4,953 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, 10 April 2020 at 13:30 UTC.
The requested start date was Friday, 10 April 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 9-day, 0-hour, 51-minute period from Tuesday, 31 March 2020 at 23:09 UTC to Friday, 10 April 2020 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 : 4953
Unique Edges : 6357
Edges With Duplicates : 3324
Total Edges : 9681
Number of Edge Types : 4
Tweet : 1332
MentionsInRetweet : 3275
Mentions : 3197
Replies to : 1877
Self-Loops : 1332
Reciprocated Vertex Pair Ratio : 0.0373983739837398
Reciprocated Edge Ratio : 0.0721003134796238
Connected Components : 1042
Single-Vertex Connected Components : 519
Maximum Vertices in a Connected Component : 1573
Maximum Edges in a Connected Component : 5514
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.284097
Graph Density : 0.000260118783772632
Modularity : 0.599938
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 4,953 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, 10 April 2020 at 13:30 UTC.
The requested start date was Friday, 10 April 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 9-day, 0-hour, 51-minute period from Tuesday, 31 March 2020 at 23:09 UTC to Friday, 10 April 2020 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:
[314] ãƒ,ム[292] ì,ë [273] acog,back [168] ë,ë [141] ì,ì [136] acogaction,acog [133] jã,ger [133] ì,œ [130] œ,ì [130] ë,ˆë Top Word Pairs in Tweet in G1:
[132] acogaction,acog [98] acog,mysmfm [79] health,care [64] acogaction,#covid19 [57] pregnant,women [56] patient,care [51] acogaction,cdcgov [51] pregnant,people [51] excuse,push [50] #covid19,excuse Top Word Pairs in Tweet in G2:
[109] ãƒ,ム[16] acog,back [15] ªã,ªã [13] 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] 2ã,ªã [11] 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 [11] #質問箱,#匿名質問募集中 [10] ãƒ,2ã [10] ak47には,acogサイトつけない方がカッコいいよね [9] ªã,ÿã Top Word Pairs in Tweet in G3:
[95] acog,back [37] rainbow6game,give [35] give,acog [35] speed,acog [33] jager,acog [32] jager,speed [32] rainbow6game,jager [26] jã,ger [19] give,jager [19] back,acog Top Word Pairs in Tweet in G4:
[112] acog,back [109] more,recoil [108] fuck,go [108] go,extra [108] extra,mile [108] mile,make [108] armor,anchor [108] anchor,more [108] recoil,acog [108] bikinibodhi,fuck Top Word Pairs in Tweet in G5:
[20] rezoka,acog_geek4ever [10] eu,não [9] marcos_flanders,rezoka [7] neymarjr,gabriel1medina [7] eu,sou [6] não,tem [6] quem,você [6] ana85soares,rezoka [5] vale,pena [5] ao,vivo Top Word Pairs in Tweet in G6:
[19] health,care [17] amermedicalassn,acog [8] acog,national [8] national,medical [8] medical,groups [8] groups,filed [8] filed,brief [8] brief,calling [8] calling,hypocrisy [8] hypocrisy,executive Top Word Pairs in Tweet in G7:
[21] acog,back [8] ash,acog [7] disruptgaming,mp5 [7] shbzz,acog [6] smg,11 [6] speed,acog [5] 11,acog [5] nepzehh,shbzz [5] shbzz,isnâ [5] isnâ,speed Top Word Pairs in Tweet in G8:
[86] reneecarrollaz,jali_cat [85] jali_cat,acog [48] brandy_mosscott,reneecarrollaz [44] alreprorightsad,brandy_mosscott [32] alreprorightsad,reneecarrollaz [27] windrunner581,alreprorightsad [21] prochoiceforal1,alreprorightsad [20] leo97894180,alreprorightsad [13] windrunner581,leo97894180 [11] brandiepersons,prochoiceforal1 Top Word Pairs in Tweet in G9:
[289] ì,ë [164] ë,ë [138] ì,ì [132] ì,œ [128] œ,ì [128] ë,ˆë [99] ê,ì [73] 예거,acog [73] acog,구매 [73] 구매,밴딧 Top Word Pairs in Tweet in G10:
[4] swagg,#fazeup [4] young,thug [2] simp,simp [2] simp,simply [2] simply,arms [2] playstation,dualsense [2] dualsense,controller [2] controller,haptic [2] haptic,feedback [2] feedback,adaptive Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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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 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: