The graph represents a network of 4,779 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, 03 April 2020 at 13:30 UTC.
The requested start date was Friday, 03 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 6-day, 7-hour, 38-minute period from Friday, 27 March 2020 at 16:20 UTC to Thursday, 02 April 2020 at 23:59 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 : 4779
Unique Edges : 6292
Edges With Duplicates : 2648
Total Edges : 8940
Number of Edge Types : 4
Mentions : 2772
MentionsInRetweet : 3107
Tweet : 1182
Replies to : 1879
Self-Loops : 1182
Reciprocated Vertex Pair Ratio : 0.0402651201325601
Reciprocated Edge Ratio : 0.0774131889136668
Connected Components : 946
Single-Vertex Connected Components : 519
Maximum Vertices in a Connected Component : 1332
Maximum Edges in a Connected Component : 3856
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.894959
Graph Density : 0.000274940131107641
Modularity : 0.636215
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 4,779 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, 03 April 2020 at 13:30 UTC.
The requested start date was Friday, 03 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 6-day, 7-hour, 38-minute period from Friday, 27 March 2020 at 16:20 UTC to Thursday, 02 April 2020 at 23:59 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:
[1101] ãƒ,ム[502] acog,back [316] ì,ë [301] jã,ger [201] more,recoil [200] recoil,acog [199] fuck,go [199] go,extra [199] extra,mile [199] mile,make Top Word Pairs in Tweet in G1:
[105] acogaction,acog [74] #covid19,pandemic [65] acog,mysmfm [64] during,#covid19 [42] patient,physician [42] health,care [40] acog,stands [40] stands,members [40] members,opposes [40] opposes,penalizing Top Word Pairs in Tweet in G2:
[385] ãƒ,ム[39] ªã,ªã [32] µã,トã [28] æ,æ [27] ãƒ,ªã [26] ªã,ÿã [25] ªã,ム[25] acog,back [24] ãƒ,ッã [24] ªã,æ Top Word Pairs in Tweet in G3:
[135] acog,back [64] rainbow6game,jager [62] jã,ger [57] jager,speed [49] speed,acog [45] give,acog [41] jager,acog [40] rainbow6game,give [39] evan_braddock,rainbow6game [23] back,acog Top Word Pairs in Tweet in G4:
[239] acog,back [195] more,recoil [194] fuck,go [194] go,extra [194] extra,mile [194] mile,make [194] armor,anchor [194] anchor,more [194] recoil,acog [193] bikinibodhi,fuck Top Word Pairs in Tweet in G5:
[20] rezoka,acog_geek4ever [13] em,casa [11] nã,tem [10] #foraprior,#bbb20 [9] rachellinda14,krolquintana [9] marcos_flanders,rezoka [9] acog_geek4ever,dudu [7] ana85soares,gabrielaprioli [7] gabrielaprioli,lg_silvafilho [7] neymarjr,gabriel1medina Top Word Pairs in Tweet in G6:
[152] go,far [76] never,seen [76] seen,balance [76] balance,changes [76] changes,game [76] game,both [76] both,go [76] far,go [76] far,enough [76] enough,same Top Word Pairs in Tweet in G7:
[12] aaaai_org,aadskin [12] aafp,aahpm [12] aahpm,aanpublic [12] aanpublic,aao_ophth [12] aao_ophth,aaos1 [11] helenburstin,aaaai_org [11] ameracadpeds,aapmr [9] acogaction,adequate [9] adequate,#ppe [9] #ppe,fundamental Top Word Pairs in Tweet in G8:
[23] alda,acog [22] shouldnâ,remove [22] remove,alda [21] shittyrainbow6,shouldnâ [9] ãƒ,ム[8] jã,ger [7] acog,back [3] sign,petition [3] petition,change [2] jager,mains Top Word Pairs in Tweet in G9:
[6] australia,discharge [6] discharge,birth [6] birth,early [6] early,hours [6] hours,integrated [6] integrated,home [6] home,checks [6] checks,reduce [6] reduce,risk [6] risk,acquiring Top Word Pairs in Tweet in G10:
[56] acog,em [55] volta,acog [55] os,operadores [54] em,os [54] operadores,read [53] rainbow6br,volta [4] rainbow6br,acog [2] rainbow6br,blz [2] voltar,acog [2] acog,pra Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: