The graph represents a network of 11,359 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, 12 May 2022 at 09:27 UTC.
The requested start date was Thursday, 12 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, 09 May 2022 at 12:16 UTC to Wednesday, 11 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 : 11359
Unique Edges : 6393
Edges With Duplicates : 11293
Total Edges : 17686
Number of Edge Types : 5
Retweet : 5208
MentionsInRetweet : 6095
Mentions : 2223
Tweet : 2935
Replies to : 1225
Self-Loops : 2974
Reciprocated Vertex Pair Ratio : 0.0049185703355558
Reciprocated Edge Ratio : 0.00978899282140526
Connected Components : 3232
Single-Vertex Connected Components : 951
Maximum Vertices in a Connected Component : 823
Maximum Edges in a Connected Component : 1704
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 9.917689
Graph Density : 7.12627430984622E-05
Modularity : 0.586418
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,359 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, 12 May 2022 at 09:27 UTC.
The requested start date was Thursday, 12 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, 09 May 2022 at 12:16 UTC to Wednesday, 11 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:
[1600] covid,19 [274] long,covid [225] more,covid [221] 40b,ukraine [221] baby,formula [218] biden,spend [218] spend,40b [218] ukraine,10b [218] 10b,more [218] covid,meanwhile Top Word Pairs in Tweet in G1:
[256] covid,19 [19] long,covid [18] zero,covid [17] positive,covid [16] obligatoire,transports [15] tested,positive [15] contra,covid [14] sera,plus [14] plus,obligatoire [12] 16,mai Top Word Pairs in Tweet in G2:
[215] biden,spend [215] spend,40b [215] 40b,ukraine [215] ukraine,10b [215] 10b,more [215] more,covid [215] covid,meanwhile [215] meanwhile,american [215] american,mother [215] mother,buy Top Word Pairs in Tweet in G3:
[34] l'oms,admet [31] ministre,santé [29] cour,suprême [28] l'espagne,désormais [28] désormais,9e [28] 9e,pays [28] pays,poursuivre [28] poursuivre,ministre [28] santé,justice [28] justice,gagner Top Word Pairs in Tweet in G4:
[21] long,covid [17] test,positivity [17] positivity,rate [17] rate,covid [17] covid,ticked [17] ticked,10 [17] 10,indicates [17] indicates,increased [17] increased,transmission [17] transmission,make Top Word Pairs in Tweet in G5:
[165] manuelrico,hoy [120] días,gobierno [120] gobierno,ayuso [120] ayuso,aprobó [120] aprobó,protocolo [120] protocolo,impedía [120] impedía,trasladar [120] trasladar,hospital [120] hospital,residentes [116] residentes,vulnerab Top Word Pairs in Tweet in G6:
[9] called,12 [9] 12,dental [9] dental,offices [9] offices,today [9] today,find [9] find,covid [9] covid,safe [9] safe,one [9] one,100 [9] 100,take Top Word Pairs in Tweet in G7:
[11] white,house [8] virtual,summit [7] danish,siddiqui [6] pm,narendramodi [6] narendramodi,participate [6] participate,second [6] second,global [6] global,covid [6] covid,virtual [6] summit,12 Top Word Pairs in Tweet in G8:
[9] clear,day [9] day,restrictions [9] restrictions,didn [9] didn,alter [9] alter,covid [9] covid,data [9] data,didn [9] didn,scientist [9] scientist,professor [8] essexpr,clear Top Word Pairs in Tweet in G9:
[50] breaking,gofundme [50] gofundme,shut [50] shut,down [50] down,campaign [50] campaign,raise [50] raise,money [50] money,year [50] year,old [50] old,girl [50] girl,injured Top Word Pairs in Tweet in G10:
[33] mandating,covid [33] covid,recovered [33] recovered,staff [33] staff,vaccinated [33] vaccinated,universities [33] universities,hospitals [33] hospitals,denied [33] denied,natural [33] natural,immunity [33] immunity,infection Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: