The graph represents a network of 9,056 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 Tuesday, 31 May 2022 at 07:19 UTC.
The requested start date was Tuesday, 31 May 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 3-day, 0-hour, 16-minute period from Friday, 27 May 2022 at 12:00 UTC to Monday, 30 May 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 : 9056
Unique Edges : 4583
Edges With Duplicates : 11725
Total Edges : 16308
Number of Edge Types : 5
Retweet : 5197
MentionsInRetweet : 5862
Tweet : 3093
Mentions : 1707
Replies to : 449
Self-Loops : 3241
Reciprocated Vertex Pair Ratio : 0.00764192139737991
Reciprocated Edge Ratio : 0.0151679306608884
Connected Components : 2621
Single-Vertex Connected Components : 1031
Maximum Vertices in a Connected Component : 1334
Maximum Edges in a Connected Component : 2926
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 10.133786
Graph Density : 9.00464963815552E-05
Modularity : 0.516417
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,056 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 Tuesday, 31 May 2022 at 07:19 UTC.
The requested start date was Tuesday, 31 May 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 3-day, 0-hour, 16-minute period from Friday, 27 May 2022 at 12:00 UTC to Monday, 30 May 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:
[5998] covid,19 [302] 19,pandemic [292] 19,vaccine [244] #covid19,#covid_19 [237] contra,covid [213] #covid_19,#covidー19 [209] pandemi,covid [176] puan,peduli [176] peduli,wong [176] wong,cilik Top Word Pairs in Tweet in G1:
[1214] covid,19 [177] pandemi,covid [176] puan,peduli [176] peduli,wong [176] wong,cilik [131] puan,maharani [82] maharani,puan [76] kader,pdip [76] pdip,bersama [76] bersama,puan Top Word Pairs in Tweet in G2:
[83] covid,19 [83] île,réunion [83] réunion,grosse [83] grosse,surprise [83] surprise,ce [83] ce,matin [83] matin,voir [83] voir,journal [83] journal,quotidien [83] quotidien,27 Top Word Pairs in Tweet in G3:
[113] covid,19 [94] pm,cares [92] cares,children [91] children,scheme [69] lost,parents [65] parents,covid [60] 19,pandemic [56] those,lost [55] scheme,support [55] support,those Top Word Pairs in Tweet in G4:
[196] covid,19 [104] nuevos,casos [71] contra,covid [69] 19,venezuela [61] lucha,contra [53] casos,covid [51] venezuela,registra [51] casos,contagios [45] #prevención,uso [45] uso,adecuado Top Word Pairs in Tweet in G5:
[151] covid,19 [126] ว,รยา [126] รยา,จาง [117] ว,ว [80] wee,bnk48 [80] #weebnk48,#bnk48 [79] ประกาศเก,ยวก [79] ยวก,บผลตรวจ [79] บผลตรวจ,covid [79] 19,ของ Top Word Pairs in Tweet in G6:
[78] 31,milliards [76] #unioneuropéenne,ses [76] ses,deux [76] deux,responsables [76] responsables,#ursulavonderleyen [76] #ursulavonderleyen,#thierrybreton [76] #thierrybreton,auraient [76] auraient,surpayé [76] surpayé,31 [76] milliards,vaccins Top Word Pairs in Tweet in G7:
[77] covid,19 [32] nursing,home [32] home,chains [28] death,rates [24] 19,death [20] chains,worst [15] spending,billions [14] doug,ford [13] ford,spending [13] billions,expand Top Word Pairs in Tweet in G8:
[123] covid,19 [102] สถานการณ,covid [102] 19,ในประเทศไทย [102] ในประเทศไทย,ว [102] ว,นท [102] พฤษภาคม,2565 [102] 2565,#โคว [102] #โคว,ด19 [102] ด19,#covid19 [102] #covid19,#สถานการณ Top Word Pairs in Tweet in G9:
[33] thailand's,national [33] national,health [33] health,security [33] security,office [33] office,nhso [33] nhso,far [33] far,paid [33] paid,46m [33] 46m,compensation [33] compensation,12 Top Word Pairs in Tweet in G10:
[169] covid,19 [73] airline,demanded [73] demanded,removal [73] removal,covid [73] 19,precautions [73] precautions,unable [73] unable,run [73] run,full [73] full,flight [73] flight,schedule Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: