The graph represents a network of 10,427 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 Thursday, 13 January 2022 at 08:29 UTC.
The requested start date was Thursday, 13 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, 4-minute period from Monday, 10 January 2022 at 12:13 UTC to Wednesday, 12 January 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 : 10427
Unique Edges : 5409
Edges With Duplicates : 12108
Total Edges : 17517
Number of Edge Types : 5
Retweet : 5418
MentionsInRetweet : 6104
Mentions : 1935
Replies to : 391
Tweet : 3669
Self-Loops : 3743
Reciprocated Vertex Pair Ratio : 0.00523494952012963
Reciprocated Edge Ratio : 0.0104153750774953
Connected Components : 3255
Single-Vertex Connected Components : 1175
Maximum Vertices in a Connected Component : 476
Maximum Edges in a Connected Component : 1034
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.081698
Graph Density : 7.41869091757773E-05
Modularity : 0.541775
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,427 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 Thursday, 13 January 2022 at 08:29 UTC.
The requested start date was Thursday, 13 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, 4-minute period from Monday, 10 January 2022 at 12:13 UTC to Wednesday, 12 January 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:
[6905] covid,19 [279] contra,covid [225] wear,mask [223] positive,covid [209] 19,forced [207] same,time [204] forced,wear [204] mask,glasses [204] glasses,same [204] time,entitled Top Word Pairs in Tweet in G1:
[1048] covid,19 [38] 19,cases [36] contra,covid [31] positive,covid [28] national,focus [28] focus,reinstate [28] reinstate,covid [28] 19,srd [28] srd,grant [28] grant,2022 Top Word Pairs in Tweet in G2:
[205] covid,19 [203] 19,forced [203] forced,wear [203] wear,mask [203] mask,glasses [203] glasses,same [203] same,time [203] time,entitled [203] entitled,condensation [202] triniliciousd,covid Top Word Pairs in Tweet in G3:
[76] covid,19 [23] india,began [23] began,administering [23] administering,precaution [23] precaution,doses [23] doses,kudos [23] kudos,those [23] those,vaccinated [23] vaccinated,today [23] today,request Top Word Pairs in Tweet in G4:
[101] covid,19 [43] contra,covid [30] plan,vacunación [29] lucha,contra [24] vacunación,masiva [24] casos,covid [23] masiva,bienestar [23] bienestar,pueblo [23] pueblo,prioridad [23] prioridad,avanzamos Top Word Pairs in Tweet in G5:
[42] covid,19 [32] #3èdose,reste [32] reste,obligatoire [32] obligatoire,valider [32] valider,votre [32] votre,pass [32] pass,même [32] même,avez [32] avez,eu [32] eu,covid Top Word Pairs in Tweet in G6:
[85] covid,19 [19] variante,ómicron [18] doctormacias,covid [15] 19,sabemos [15] sabemos,ningún [15] ningún,virus [15] virus,transmitido [15] transmitido,globalmente [15] globalmente,historia [15] historia,mundo Top Word Pairs in Tweet in G7:
[36] cells,common [36] common,colds [33] months,ago [32] anyone,mentioned [32] mentioned,20 [32] 20,months [32] ago,blasted [32] blasted,being [32] being,conspiracy [32] conspiracy,theorist Top Word Pairs in Tweet in G8:
[70] covid,19 [38] gravité,épidémie [38] épidémie,covid [38] 19,devrait [38] devrait,évaluer [38] évaluer,nombre [38] nombre,contaminations [38] contaminations,incidence [37] alicedesbiolles,gravité [37] incidence,indicat Top Word Pairs in Tweet in G9:
[74] covid,19 [10] omicron,variant [9] tested,positive [9] supreme,court [9] court,australian [9] australian,open [9] open,tennis [9] tennis,courts [9] courts,french [9] french,president Top Word Pairs in Tweet in G10:
[66] covid,19 [27] skynews,covid [25] 19,cells [25] cells,common [25] common,colds [25] colds,protect [25] protect,against [25] against,coronavirus [25] coronavirus,infection [25] infection,study Top Replied-To in Entire Graph:
Top Replied-To in G3:
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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 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 G9:
Top Tweeters in G10: