The graph represents a network of 10,667 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, 31 July 2021 at 07:30 UTC.
The requested start date was Saturday, 31 July 2021 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 1-day, 23-hour, 59-minute period from Wednesday, 28 July 2021 at 12:17 UTC to Friday, 30 July 2021 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 : 10667
Unique Edges : 5537
Edges With Duplicates : 12263
Total Edges : 17800
Number of Edge Types : 5
Retweet : 5505
MentionsInRetweet : 6239
Tweet : 3728
Replies to : 415
Mentions : 1913
Self-Loops : 3775
Reciprocated Vertex Pair Ratio : 0.00501897417064512
Reciprocated Edge Ratio : 0.00998781973203411
Connected Components : 3362
Single-Vertex Connected Components : 1126
Maximum Vertices in a Connected Component : 948
Maximum Edges in a Connected Component : 2085
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.079544
Graph Density : 7.21604582802596E-05
Modularity : 0.543116
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,667 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, 31 July 2021 at 07:30 UTC.
The requested start date was Saturday, 31 July 2021 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 1-day, 23-hour, 59-minute period from Wednesday, 28 July 2021 at 12:17 UTC to Friday, 30 July 2021 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:
[6605] covid,19 [312] 19,vaccine [251] contra,covid [193] 19,cases [149] positive,covid [137] 19,pandemic [136] delta,variant [125] 19,vaccination [122] 19,patients [122] 19,vaccines Top Word Pairs in Tweet in G1:
[987] covid,19 [47] contra,covid [34] 19,cases [33] 19,vaccine [27] #ourgovernmentnug,#july30coup [27] #july30coup,#whatshappeninginmyanmar [25] #covid,19 [25] 19,pandemic [23] monywa,district [23] against,coup Top Word Pairs in Tweet in G2:
[262] covid,19 [104] menjadi,hospital [52] hospital,serdang [52] serdang,menjadi [52] hospital,keempat [52] keempat,selangor [52] selangor,yang [52] yang,ditukar [52] ditukar,status [52] status,menjadi Top Word Pairs in Tweet in G3:
[138] covid,19 [94] both,parents [93] those,think [93] think,covid [93] 19,hoax [93] hoax,flu [93] flu,killed [93] killed,both [93] parents,within [93] within,15 Top Word Pairs in Tweet in G4:
[56] covid,19 [16] #dreadfulcovidamidmilitarycoup,#whatshappeninginmyanmar [11] rapporteurun,#dreadfulcovidamidmilitarycoup [10] alan,jones [10] 19,outbreak [10] 19,crisis [9] bts,meal [9] meal,drove [9] drove,visits [9] visits,restaurants Top Word Pairs in Tweet in G5:
[70] covid,19 [22] contra,covid [16] ayuda,protegerte [16] protegerte,covid [14] 19,#vacúnateyabrazalavida [10] antonio09610321,uso [10] 19,#67añoschávezinvencible [9] uso,tapaboca [9] tapaboca,ayuda [7] uso,mascarilla Top Word Pairs in Tweet in G6:
[158] covid,19 [22] spraying,covid [22] myanmar,junta [20] 19,against [20] against,pesticides [20] monywa,district [15] insein,prison [12] pesticides,youths [12] youths,#taunglatt [12] #taunglatt,area Top Word Pairs in Tweet in G7:
[73] nouvelles,données [73] données,suggèrent [73] peuvent,transmettre [73] transmettre,virus [50] monde,nouvelles [50] suggèrent,vaccinés [50] vaccinés,peuvent [50] virus,dire [50] dire,ça [50] ça,plateau Top Word Pairs in Tweet in G8:
[117] covid,19 [28] arkansas,children's [28] children,hospitalized [27] hospitalized,covid [23] record,high [21] 19,cases [20] those,hospitalized [19] children's,reporting [19] reporting,record [19] high,24 Top Word Pairs in Tweet in G9:
[100] covid,19 [18] confirmed,cases [15] astrazeneca,vaccine [15] vaccine,shipped [15] shipped,canada [15] canada,mexico [15] mexico,before [15] before,adequate [15] adequate,plant [15] plant,inspections Top Word Pairs in Tweet in G10:
[87] covid,19 [52] fact,many [52] many,covid [52] 19,patients [52] patients,think [52] think,doctor [52] doctor,lying [52] lying,diagnosis [52] diagnosis,re [51] joncoopertweets,fact Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G10:
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 G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: