The graph represents a network of 9,454 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 Monday, 18 April 2022 at 07:20 UTC.
The requested start date was Monday, 18 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, 12-minute period from Wednesday, 13 April 2022 at 12:05 UTC to Friday, 15 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 : 9454
Unique Edges : 4924
Edges With Duplicates : 11269
Total Edges : 16193
Number of Edge Types : 5
Tweet : 3342
Retweet : 5011
MentionsInRetweet : 5660
Mentions : 1706
Replies to : 474
Self-Loops : 3452
Reciprocated Vertex Pair Ratio : 0.00566846398451542
Reciprocated Edge Ratio : 0.0112730272202365
Connected Components : 3064
Single-Vertex Connected Components : 1329
Maximum Vertices in a Connected Component : 375
Maximum Edges in a Connected Component : 868
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.877508
Graph Density : 8.13931845594824E-05
Modularity : 0.528686
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,454 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 Monday, 18 April 2022 at 07:20 UTC.
The requested start date was Monday, 18 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, 12-minute period from Wednesday, 13 April 2022 at 12:05 UTC to Friday, 15 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:
[6216] covid,19 [276] contra,covid [223] 19,vaccine [209] positive,covid [169] #covid19,#covid_19 [168] 19,pandemic [151] 19,cases [144] #covid_19,#covidー19 [143] tested,positive [135] last,year Top Word Pairs in Tweet in G1:
[1282] covid,19 [67] 19,vaccine [52] 19,pandemic [46] contra,covid [37] positive,covid [33] 19,booster [28] 19,cases [23] patrick,farhart [22] during,covid [22] physio,patrick Top Word Pairs in Tweet in G2:
[305] covid,19 [93] 19,shanghaï [93] shanghaï,presque [93] presque,totalement [93] totalement,confinée [93] confinée,endiguer [93] endiguer,cas [93] cas,covid [93] 19,habitants [93] habitants,expulsés Top Word Pairs in Tweet in G3:
[164] covid,19 [20] penggalak,kedua [18] berisiko,tinggi [18] 19,booster [17] daughter,alone [17] alone,hospital [17] hospital,five [17] five,days [17] days,chinese [17] chinese,parents Top Word Pairs in Tweet in G4:
[119] jack,dorsey [119] dorsey,sold [119] sold,1st [119] 1st,tweet [119] tweet,nft [119] nft,last [119] last,year [119] year,bought [119] bought,million [119] million,converted Top Word Pairs in Tweet in G5:
[30] covid,19 [13] flood,victims [11] relief,funds [8] giftofthegivers,disperse [8] disperse,disaster [8] disaster,funds [8] funds,kzn [8] kzn,flood [8] victims,myanc [8] myanc,looted Top Word Pairs in Tweet in G6:
[72] covid,19 [17] contra,covid [14] anti,covid [14] 19,adolescentes [13] adolescentes,jóvenes [11] dosis,refuerzo [10] vacunas,cubanas [10] pandemia,covid [9] vacunas,contra [8] día,internacional Top Word Pairs in Tweet in G7:
[45] 19の死亡率を55,減少 [40] 本日もツイートのみで失礼します,目次から [40] 目次から,それぞれについては [40] それぞれについては,この後にスレッド形式でツイートします [38] influenzer3,本日もツイートのみで失礼します [37] 呼気で診断する,covid [34] 経口微小管阻害薬sabizabulin,第3相二重盲検rctで中等症から重症covid [34] 第3相二重盲検rctで中等症から重症covid,19の死亡率を55 [20] この後にスレッド形式でツイートします,経口微小管阻害薬sabizabulin [20] この後にスレッド形式でツイートします,ba Top Word Pairs in Tweet in G8:
[50] covid,19 [15] wave,covid [13] ottawa's,largest [13] largest,school [13] school,board [12] sixth,wave [11] gosh,someone [11] someone,told [11] told,years [11] years,ago Top Word Pairs in Tweet in G9:
[23] #aifa,annuncia [23] annuncia,autunno [23] autunno,richiamo [23] richiamo,annuale [23] annuale,vaccino [23] vaccino,adattato [23] adattato,over [23] over,50 [23] 50,60 [23] 60,crimine Top Word Pairs in Tweet in G10:
[88] covid,19 [25] hong,kong [17] 19,vaccine [12] children,important [11] third,shot [11] shot,children's [11] children's,dose [11] dose,pfizer [11] pfizer,biontech's [11] biontech's,covid Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: