The graph represents a network of 10,776 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, 14 May 2021 at 07:24 UTC.
The requested start date was Friday, 14 May 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 2-day, 0-hour, 2-minute period from Tuesday, 11 May 2021 at 12:17 UTC to Thursday, 13 May 2021 at 12:20 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 : 10776
Unique Edges : 5678
Edges With Duplicates : 12234
Total Edges : 17912
Number of Edge Types : 5
Replies to : 393
Retweet : 5454
MentionsInRetweet : 6264
Tweet : 3570
Mentions : 2231
Self-Loops : 3600
Reciprocated Vertex Pair Ratio : 0.00616113744075829
Reciprocated Edge Ratio : 0.012246820536976
Connected Components : 3234
Single-Vertex Connected Components : 1056
Maximum Vertices in a Connected Component : 1485
Maximum Edges in a Connected Component : 3255
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.79624
Graph Density : 7.31366601384532E-05
Modularity : 0.547784
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,776 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, 14 May 2021 at 07:24 UTC.
The requested start date was Friday, 14 May 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 2-day, 0-hour, 2-minute period from Tuesday, 11 May 2021 at 12:17 UTC to Thursday, 13 May 2021 at 12:20 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:
[6862] covid,19 [417] 19,vaccine [368] contra,covid [230] 19,pandemic [185] against,covid [179] 19,vaccines [156] second,wave [140] 19,cases [138] ข,อม [130] due,covid Top Word Pairs in Tweet in G1:
[959] covid,19 [90] 05,2021 [90] 12,05 [88] available,appointments [88] appointments,detected [88] detected,provider [88] registration,link [88] 2021,07 [87] link,12 [82] provider,walgreens Top Word Pairs in Tweet in G2:
[172] covid,19 [40] express,gratitude [40] nursing,staff [39] 19,patients [38] international,nurses [38] nurses,day [38] day,day [38] day,express [38] gratitude,hardworking [38] hardworking,nursing Top Word Pairs in Tweet in G3:
[118] covid,19 [32] contra,covid [19] nuevos,casos [16] lucha,contra [15] 19,venezuela [14] importante,tener [14] tener,cuenta [14] prevención,covid [13] medidas,prevención [13] etiqueta,día Top Word Pairs in Tweet in G4:
[121] covid,19 [44] 19,vaccine [38] news,good [38] good,bad [38] bad,mixed [38] mixed,national [38] national,covid [38] 19,test [38] test,positivity [38] positivity,rate Top Word Pairs in Tweet in G5:
[147] covid,19 [77] 19,second [77] second,wave [62] thank,mpl [62] mpl,sports [62] sports,foundation [62] foundation,generous [62] generous,contribution [62] contribution,crore [62] crore,fight Top Word Pairs in Tweet in G6:
[44] covid,19 [18] 19,vaccine [18] uttar,pradesh [13] pradesh,state [9] case,finding [9] misquoted,b1 [9] b1,617 [9] 617,more [9] more,transmissible [9] transmissible,based Top Word Pairs in Tweet in G7:
[130] covid,19 [59] fauci,helped [59] helped,fund [59] fund,covid [59] 19,virus [59] virus,china [59] china,coordinated [59] coordinated,pr [59] pr,campaign [59] campaign,covid Top Word Pairs in Tweet in G8:
[54] covid,19 [24] relief,groups [24] groups,nepal [24] nepal,asking [24] asking,climbers [24] climbers,mount [24] mount,everest [24] everest,hand [24] hand,over [24] over,used Top Word Pairs in Tweet in G9:
[30] covid,19 [16] video,granma_digital [16] contra,covid [12] candidatos,vacunales [12] vacunales,cubanos [9] #12demayo,felicitamos [9] felicitamos,personal [9] personal,enfermería [9] enfermería,esforzado [9] esforzado,mantener Top Word Pairs in Tweet in G10:
[36] covid,19 [19] maharashtra,congress [19] congress,leader [19] leader,arrested [19] arrested,assaulting [19] assaulting,duty [19] duty,covid [19] 19,nodal [19] nodal,officer [19] officer,over Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: