The graph represents a network of 11,263 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 Thursday, 26 May 2022 at 09:26 UTC.
The requested start date was Thursday, 26 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 2-day, 0-hour, 3-minute period from Monday, 23 May 2022 at 12:16 UTC to Wednesday, 25 May 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 : 11263
Unique Edges : 6631
Edges With Duplicates : 11204
Total Edges : 17835
Number of Edge Types : 5
Retweet : 5237
MentionsInRetweet : 6186
Tweet : 2901
Replies to : 1118
Mentions : 2393
Self-Loops : 2942
Reciprocated Vertex Pair Ratio : 0.00632233176168024
Reciprocated Edge Ratio : 0.012565222021084
Connected Components : 3209
Single-Vertex Connected Components : 1013
Maximum Vertices in a Connected Component : 1440
Maximum Edges in a Connected Component : 3141
Maximum Geodesic Distance (Diameter) : 37
Average Geodesic Distance : 11.883983
Graph Density : 7.40358783968699E-05
Modularity : 0.590614
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,263 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 Thursday, 26 May 2022 at 09:26 UTC.
The requested start date was Thursday, 26 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 2-day, 0-hour, 3-minute period from Monday, 23 May 2022 at 12:16 UTC to Wednesday, 25 May 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:
[1642] covid,19 [258] long,covid [174] covid,tests [165] manuelrico,hoy [165] during,covid [162] biden,cdc [162] cdc,requires [162] requires,covid [162] tests,citizens [162] citizens,return Top Word Pairs in Tweet in G1:
[272] covid,19 [30] during,covid [18] pandemi,covid [17] underestimating,prevalence [17] prevalence,covid' [17] covid',americans [17] americans,plan [17] plan,summer [17] summer,despite [17] despite,surge Top Word Pairs in Tweet in G2:
[82] guidance,followed [56] carolinelucas,borisjohnson [55] borisjohnson,officially [55] officially,lied [55] lied,parliament [55] parliament,guidance [55] followed,#suegray [55] #suegray,whatever [55] whatever,initial [54] initial,int Top Word Pairs in Tweet in G3:
[162] biden,cdc [162] cdc,requires [162] requires,covid [162] covid,tests [162] tests,citizens [162] citizens,return [162] return,country [162] country,abroad [162] abroad,strand [161] bucksexton,biden Top Word Pairs in Tweet in G4:
[24] digan,dije [24] dije,vuelven [24] vuelven,casos [24] casos,positivos [24] positivos,covid [23] ayudamedicamx,digan [23] dif,sinaloa [23] sinaloa,san [23] san,luis [23] luis,potosí Top Word Pairs in Tweet in G5:
[16] saw,jake [16] jake,tapper [16] tapper,tested [16] tested,positive [16] positive,covid [16] covid,recently [16] recently,refused [16] refused,isolate [16] isolate,staff [16] staff,made Top Word Pairs in Tweet in G6:
[18] effets,secondaires [15] secondaires,vaccin [15] mai,2022 [14] quand,vraie [14] vraie,commission [14] commission,enquête [14] enquête,parlementaire [14] parlementaire,large [14] large,tenace [14] tenace,transparente Top Word Pairs in Tweet in G7:
[165] manuelrico,hoy [127] días,gobierno [127] gobierno,ayuso [127] ayuso,aprobó [127] aprobó,protocolo [127] protocolo,impedía [127] impedía,trasladar [127] trasladar,hospital [127] hospital,residentes [121] residentes,vulnerab Top Word Pairs in Tweet in G8:
[55] whilst,country [55] country,one [55] one,highest [55] highest,death [55] death,rates [49] statement,#suegrayreport [49] #suegrayreport,whilst [48] covidjusticeuk,statement [15] don,care [15] care,#partygate Top Word Pairs in Tweet in G9:
[22] viruela,mono [21] falsos,vacunados [16] covid,viruela [14] lista,falsos [11] vacuna,covid [11] suerte,áfrica [11] áfrica,ve [11] ve,afectada [11] afectada,covid [11] mono,estoy Top Word Pairs in Tweet in G10:
[17] government,cancel [17] cancel,pending [17] pending,covid [17] covid,restriction [17] restriction,breaches [17] breaches,refund [17] refund,fines [17] fines,people [17] people,paid [17] paid,restrictions Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G8:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: