The graph represents a network of 8,886 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 Friday, 19 August 2022 at 07:17 UTC.
The requested start date was Friday, 19 August 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, 15-minute period from Tuesday, 16 August 2022 at 12:02 UTC to Thursday, 18 August 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 : 8886
Unique Edges : 4023
Edges With Duplicates : 12542
Total Edges : 16565
Number of Edge Types : 5
Retweet : 5706
MentionsInRetweet : 6320
Tweet : 2481
Replies to : 434
Mentions : 1624
Self-Loops : 2590
Reciprocated Vertex Pair Ratio : 0.004982953055337
Reciprocated Edge Ratio : 0.00991649269311065
Connected Components : 2179
Single-Vertex Connected Components : 836
Maximum Vertices in a Connected Component : 1905
Maximum Edges in a Connected Component : 4929
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.752644
Graph Density : 9.707150321885E-05
Modularity : 0.51428
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,886 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 Friday, 19 August 2022 at 07:17 UTC.
The requested start date was Friday, 19 August 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, 15-minute period from Tuesday, 16 August 2022 at 12:02 UTC to Thursday, 18 August 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:
[5392] covid,19 [458] pfizer,documents [409] documents,released [406] contra,covid [402] naomi,wolf [401] 300,000 [395] dr,naomi [390] according,dr [390] wolf,runs [390] runs,crowdsourced Top Word Pairs in Tweet in G1:
[872] covid,19 [75] safe,date [75] date,covid [75] 19,linda [48] 19,pandemic [44] 19,vaccine [29] lindasdatelist,safe [23] contra,covid [21] vaksin,covid [20] upp,kab Top Word Pairs in Tweet in G2:
[728] covid,19 [280] contra,covid [233] 19,venezuela [140] lucha,contra [138] nuevos,contagios [123] venezuela,registró [120] venezuela,registra [109] #envideo,covid [105] vtvcanal8,día [102] vtvcanal8,#envideo Top Word Pairs in Tweet in G3:
[271] according,dr [271] dr,naomi [271] naomi,wolf [271] wolf,runs [271] runs,crowdsourced [271] crowdsourced,project [271] project,analyze [271] analyze,300 [271] 300,000 [271] 000,pfizer Top Word Pairs in Tweet in G4:
[219] aviation,fuel [219] fuel,n903 [219] n903,lagos [219] lagos,abuja [219] abuja,n205 [219] n205,000 [219] 000,return [219] return,ticket [219] ticket,apc [219] apc,lie Top Word Pairs in Tweet in G5:
[126] covid,19 [30] pdg,pfizer [28] 19,ont [27] rappel,étude [27] étude,pré [27] pré,print [27] print,instant [27] instant,révèle [27] révèle,vaccins [27] vaccins,arnm Top Word Pairs in Tweet in G6:
[187] covid,19 [172] semanas,consecutivas [140] 13,semanas [139] suma,13 [139] consecutivas,fallecimientos [133] fallecimientos,covid [132] #cuba,suma [126] 19,logro [126] logro,nuestra [126] nuestra,ciencia Top Word Pairs in Tweet in G7:
[90] tic,tac [90] tac,faltam [90] dias,fim [90] fim,pior [90] pior,governo [90] governo,brasil [90] brasil,já [90] já,teve [90] teve,até [90] até,lá Top Word Pairs in Tweet in G8:
[109] covid,19 [21] meetjess,covid [18] 19,predicted [18] predicted,boost [18] boost,global [18] global,dementia [18] dementia,rates [18] rates,concerning [18] concerning,wang [18] wang,covid Top Word Pairs in Tweet in G9:
[34] covid,19 [34] haven't,tweeted [34] tweeted,last [34] last,few [34] few,days [34] days,hospital [34] hospital,literally [34] literally,full [34] full,patients [34] patients,day Top Word Pairs in Tweet in G10:
[107] according,dr [107] dr,naomi [107] naomi,wolf [107] wolf,runs [107] runs,crowdsourced [107] crowdsourced,project [107] project,analyze [107] analyze,300 [107] 300,000 [107] 000,pfizer Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: