The graph represents a network of 8,304 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 Wednesday, 28 December 2022 at 08:15 UTC.
The requested start date was Wednesday, 28 December 2022 at 01:01 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, 33-minute period from Sunday, 25 December 2022 at 11:44 UTC to Tuesday, 27 December 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 : 8304
Unique Edges : 3585
Edges With Duplicates : 12648
Total Edges : 16233
Number of Edge Types : 5
Retweet : 5782
MentionsInRetweet : 6244
Tweet : 2458
Replies to : 411
Mentions : 1338
Self-Loops : 2538
Reciprocated Vertex Pair Ratio : 0.00287789502535288
Reciprocated Edge Ratio : 0.00573927302541678
Connected Components : 2028
Single-Vertex Connected Components : 889
Maximum Vertices in a Connected Component : 2420
Maximum Edges in a Connected Component : 5625
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.003422
Graph Density : 0.000106137786630039
Modularity : 0.500188
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,304 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 Wednesday, 28 December 2022 at 08:15 UTC.
The requested start date was Wednesday, 28 December 2022 at 01:01 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, 33-minute period from Sunday, 25 December 2022 at 11:44 UTC to Tuesday, 27 December 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:
[5756] covid,19 [354] 19,pandemic [347] 19,vaccine [299] contra,covid [262] effects,covid [256] families,fully [256] tigray,many [256] many,families [256] recover,devastating [256] devastating,effects Top Word Pairs in Tweet in G1:
[806] covid,19 [25] 19,pandemic [24] contra,covid [23] 20,days [23] 250,million [21] 19,cases [19] 19,outbreak [18] spread,country [18] china,economy [18] continued,slow Top Word Pairs in Tweet in G2:
[471] covid,19 [174] vtvcanal8,#jornadadevacunación [115] enfermarte,gravemente [115] probabilidades,enfermarte [115] tienes,probabilidades [115] recientemente,tienes [115] #jornadadevacunación,estás [115] estado,recientemente [115] estás,embarazada [115] embarazada,estado Top Word Pairs in Tweet in G3:
[281] covid,19 [207] shown,positive [207] meta,analysis [207] 63,studies [207] analysis,63 [207] 19,humans [207] ivermectin,versus [207] versus,covid [207] positive,results [207] studies,ivermectin Top Word Pairs in Tweet in G4:
[140] não,resultaram [140] em,mortes [140] mortes,os [140] colaboradores,pfizer [140] lotes,reservados [140] reservados,aos [140] vacina,não [140] pfizer,não [140] lotes,vacina [140] sabem,quais Top Word Pairs in Tweet in G5:
[196] covid,19 [172] 19,death [103] 81,vaccinated [102] higher,vaccinated [102] rates,81 [102] times,higher [102] vaccinated,fifty [102] effective,covid [102] safe,effective [102] fifty,times Top Word Pairs in Tweet in G6:
[216] covid,19 [198] 19,vaccine [197] dob,neighbours [197] public,dob [197] government,believe [197] queensland,police [197] appealing,public [197] neighbours,anti [197] believe,covid [197] anti,government Top Word Pairs in Tweet in G7:
[60] c19経鼻ワクチン,米国 [60] 遺伝子治療の米バイオテクノロジー企業ocugen,inc [60] 商業化のライセンスを,遺伝子治療の米バイオテクノロジー企業ocugen [60] 米国,欧州 [60] inc,が獲得 [60] 欧州,日本での販売開始に向けて進行中 [60] 来る,鼻から [60] 製造,商業化のライセンスを [60] 日本に100,来る [60] 日本での販売開始に向けて進行中,日本におけるワクチンの開発 Top Word Pairs in Tweet in G8:
[288] covid,19 [258] 19,pandemic [256] recover,devastating [256] families,fully [256] fully,recover [256] devastating,effects [256] tigray,many [256] many,families [256] effects,covid [249] pandemic,top Top Word Pairs in Tweet in G9:
[159] covid,19 [112] origin,covid [66] political,opinion [66] 19,censorship [66] everything,learning [66] learning,origin [66] opinion,media [66] censorship,scientists [66] scientists,political [65] kimdotcom,everything Top Word Pairs in Tweet in G10:
[67] covid,19 [30] social,media [30] content,suppress [30] government,pressured [30] states,government [30] media,platforms [30] certain,content [30] twitter,social [30] elevate,certain [30] platforms,elevate Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: