The graph represents a network of 10,026 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 02 April 2022 at 07:21 UTC.
The requested start date was Saturday, 02 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 9-minute period from Wednesday, 30 March 2022 at 12:08 UTC to Friday, 01 April 2022 at 12:17 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 : 10026
Unique Edges : 5608
Edges With Duplicates : 11136
Total Edges : 16744
Number of Edge Types : 5
Retweet : 4902
MentionsInRetweet : 5714
Tweet : 3383
Replies to : 505
Mentions : 2240
Self-Loops : 3448
Reciprocated Vertex Pair Ratio : 0.00770299280212148
Reciprocated Edge Ratio : 0.0152882205513784
Connected Components : 3088
Single-Vertex Connected Components : 1278
Maximum Vertices in a Connected Component : 401
Maximum Edges in a Connected Component : 812
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.169634
Graph Density : 7.93945716200224E-05
Modularity : 0.551259
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,026 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 02 April 2022 at 07:21 UTC.
The requested start date was Saturday, 02 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 9-minute period from Wednesday, 30 March 2022 at 12:08 UTC to Friday, 01 April 2022 at 12:17 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 : COVID-19
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:
[5855] covid,19 [266] contra,covid [213] 19,pandemic [170] positive,covid [161] 1º,abril [157] começamos,nossas [157] nossas,homenagens [157] homenagens,nesse [157] nesse,1º [157] abril,relembrando Top Word Pairs in Tweet in G1:
[1164] covid,19 [54] 19,pandemic [41] contra,covid [41] 19,vaccine [40] medidas,bioseguridad [38] #covid,19 [28] combatir,covid [27] invita,cumplir [27] cumplir,medidas [27] bioseguridad,combatir Top Word Pairs in Tweet in G2:
[174] covid,19 [60] contra,covid [31] 19,venezuela [26] síndrome,respiratorio [26] respiratorio,agudo [26] agudo,severo [26] severo,causado [26] causado,covid [26] 19,debemos [26] debemos,usar Top Word Pairs in Tweet in G3:
[122] #bolsonaroday,0h00 [122] 0h00,começamos [122] começamos,nossas [122] nossas,homenagens [122] homenagens,nesse [122] nesse,1º [122] 1º,abril [122] abril,relembrando [122] relembrando,maiores [122] maiores,clássicos Top Word Pairs in Tweet in G4:
[39] covid,19 [28] #russianukrainianwar,estompe [28] estompe,mais [28] mais,laissera [28] laissera,sacrées [28] sacrées,traces [28] traces,était [28] était,grand [28] grand,temps [28] temps,#covid_19 Top Word Pairs in Tweet in G5:
[70] covid,19 [31] people,uk [31] 26,march [24] 19,record [24] record,million [24] million,people [24] uk,coronavirus [24] coronavirus,week [24] week,26 [24] march,ons Top Word Pairs in Tweet in G6:
[62] covid,19 [51] testing,positive [45] week,ending [42] positive,#covid19 [41] march,2022 [38] people,testing [38] ending,26 [37] 26,march [35] #covid19,increased [31] estimated,number Top Word Pairs in Tweet in G7:
[80] covid,19 [31] retweet,know [31] know,someone [31] someone,covid [31] 19,right [30] amitaryamd,retweet [23] wave,covid [23] science,table [22] ontario,6th [22] 6th,wave Top Word Pairs in Tweet in G8:
[6] covid,19 [4] exclusive,interview [4] interview,defender [4] defender,richard [4] richard,sprague [4] sprague,wife [4] wife,jennifer [4] jennifer,developed [4] developed,creutzfeldt [4] creutzfeldt,jakob Top Word Pairs in Tweet in G9:
[80] covid,19 [18] ve,reached [18] reached,critical [18] critical,turning [18] turning,point [18] point,fight [18] fight,congress [18] congress,provide [18] provide,funding [18] funding,america Top Word Pairs in Tweet in G10:
[82] covid,19 [23] mes,cofepris [23] cofepris,aprobó [23] menores,11 [22] doctormacias,covid [19] contra,covid [17] 19,menores [15] vacuna,pfizer [14] aprobó,uso [14] uso,emergencia Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: