The graph represents a network of 11,742 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 03 January 2022 at 09:45 UTC.
The requested start date was Monday, 03 January 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, 1-minute period from Thursday, 30 December 2021 at 12:18 UTC to Saturday, 01 January 2022 at 12:19 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 : 11742
Unique Edges : 6182
Edges With Duplicates : 11849
Total Edges : 18031
Number of Edge Types : 5
Retweet : 5489
MentionsInRetweet : 6086
Tweet : 3753
Replies to : 977
Mentions : 1726
Self-Loops : 3787
Reciprocated Vertex Pair Ratio : 0.00375763269140442
Reciprocated Edge Ratio : 0.00748713149274684
Connected Components : 3887
Single-Vertex Connected Components : 989
Maximum Vertices in a Connected Component : 379
Maximum Edges in a Connected Component : 830
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.274299
Graph Density : 6.20036633226614E-05
Modularity : 0.563043
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,742 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 03 January 2022 at 09:45 UTC.
The requested start date was Monday, 03 January 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, 1-minute period from Thursday, 30 December 2021 at 12:18 UTC to Saturday, 01 January 2022 at 12:19 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
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:
[1590] covid,19 [248] covid,cases [165] covid,tests [160] tested,positive [152] positive,covid [140] 2022,covid [124] negative,things [124] things,2022 [123] swaggywille,negative [108] covid,test Top Word Pairs in Tweet in G1:
[212] covid,19 [23] covid,cases [17] positive,covid [14] casos,covid [14] 19,cases [13] covid,test [10] covid,positive [9] contra,covid [9] covid,vaccine [9] tested,positive Top Word Pairs in Tweet in G2:
[10] sajidjavid,dailymailuk [10] covid,19 [10] two,weeks [10] weeks,ago [10] we've,hearing [10] hearing,reassuring [10] reassuring,talk [10] talk,mini [10] mini,nightingales [10] nightingales,cope Top Word Pairs in Tweet in G3:
[124] negative,things [124] things,2022 [124] 2022,covid [124] covid,tests [123] swaggywille,negative Top Word Pairs in Tweet in G4:
[27] dr,malone [24] netherlands,government [24] government,banned [24] banned,fireworks [24] fireworks,punishment [24] punishment,disobeying [24] disobeying,covid [24] covid,law [24] law,people [24] people,showed Top Word Pairs in Tweet in G5:
[16] catching,covid [14] covid,19 [14] thread,vaccines [14] vaccines,vaccinated [14] vaccinated,people [14] people,catching [14] covid,vaccines [14] vaccines,developed [14] developed,against [13] jasmineforhd108,thread Top Word Pairs in Tweet in G6:
[15] little,over [15] over,month [15] month,ago [15] ago,shut [15] shut,down [15] down,labeled [15] labeled,misinformation [15] misinformation,network [15] network,tv [15] tv,vaccinated Top Word Pairs in Tweet in G7:
[17] covid,19 [17] last,year [10] relief,aspirants [8] during,covid [8] #extraattemptforall,#upscextraattempt [8] covid,cases [7] corona,relief [6] #upscextraattempt,#extraattemptforall [6] year,portal [6] portal,available Top Word Pairs in Tweet in G8:
[42] covid,19 [13] 19,cases [8] spread,covid [7] prime,minister [6] covid,cases [6] shortened,quarantines [6] quarantines,pose [6] pose,risk [6] risk,people [6] people,go Top Word Pairs in Tweet in G9:
[16] covid,19 [9] nhs,england [9] million,covid [7] remarkable,safety [7] safety,gt [7] gt,million [7] covid,vaccinations [7] vaccinations,children [7] children,age [7] age,11 Top Word Pairs in Tweet in G10:
[32] once,became [32] became,clear [32] clear,covid [32] covid,fact [32] fact,pagan [32] pagan,god [32] god,visiting [32] visiting,vengeance [32] vengeance,unwashed [32] unwashed,trump 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: