The graph represents a network of 8,479 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 Monday, 26 December 2022 at 08:16 UTC.
The requested start date was Monday, 26 December 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 3-day, 0-hour, 19-minute period from Thursday, 22 December 2022 at 11:58 UTC to Sunday, 25 December 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 : 8479
Unique Edges : 4253
Edges With Duplicates : 12256
Total Edges : 16509
Number of Edge Types : 5
Replies to : 468
Mentions : 1486
Retweet : 5546
MentionsInRetweet : 6317
Tweet : 2692
Self-Loops : 2804
Reciprocated Vertex Pair Ratio : 0.00384717431679491
Reciprocated Edge Ratio : 0.00766486057882913
Connected Components : 2269
Single-Vertex Connected Components : 966
Maximum Vertices in a Connected Component : 2479
Maximum Edges in a Connected Component : 6620
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 9.301035
Graph Density : 0.000105265410031099
Modularity : 0.511341
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,479 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 Monday, 26 December 2022 at 08:16 UTC.
The requested start date was Monday, 26 December 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 3-day, 0-hour, 19-minute period from Thursday, 22 December 2022 at 11:58 UTC to Sunday, 25 December 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:
[5758] covid,19 [439] 19,pandemic [335] effects,covid [332] many,families [329] 19,vaccine [329] fully,recover [328] families,fully [328] tigray,many [328] recover,devastating [328] devastating,effects Top Word Pairs in Tweet in G1:
[884] covid,19 [77] 250,million [69] 20,days [45] 19,infections [43] million,covid [42] million,people [40] infections,china [40] nearly,250 [40] leaked,doc [40] days,leaked Top Word Pairs in Tweet in G2:
[466] covid,19 [121] combate,covid [121] mascarilla,vacunas [121] consciente,cuídate [121] combinación,mascarilla [121] mejor,combinación [121] vacunas,sé [121] sé,consciente [121] 19,mejor [121] #prevención,combate Top Word Pairs in Tweet in G3:
[284] covid,19 [241] origin,covid [239] case,still [239] 19,read [239] read,thanks [239] sharing,documents [239] documents,more [239] still,doubts [239] renztom,sharing [239] doubts,origin Top Word Pairs in Tweet in G4:
[144] covid,19 [53] meeting,review [32] क,स [31] स,थ [31] narendramodi,chaired [30] 19,cases [30] health,ministers [29] level,meeting [29] high,level [28] chaired,meeting Top Word Pairs in Tweet in G5:
[199] florida,supreme [199] supreme,court [199] grand,jury [185] investigate,mrna [185] jury,investigate [164] mrna,covid [128] covid,19 [121] 19,vaccine [121] vaccine,manufacturers [118] court,approves Top Word Pairs in Tweet in G6:
[66] covid,19 [55] standards,authority [55] ruled,ads [55] advertising,standards [55] uk,advertising [55] 2020,uk [55] ads,claiming [55] prevent,spread [55] masks,prevent [55] march,2020 Top Word Pairs in Tweet in G7:
[345] covid,19 [329] many,families [328] recover,devastating [328] families,fully [328] fully,recover [328] devastating,effects [328] 19,pandemic [328] tigray,many [328] effects,covid [312] pandemic,top Top Word Pairs in Tweet in G8:
[56] covid,19 [26] grippe,aviaire [26] seront,vaccinées [26] prétexte,grippe [26] personnes,seront [26] fameux,poison [26] vaccinées,fameux [26] poison,covid [26] 19,personnes [26] aviaire,volailles Top Word Pairs in Tweet in G9:
[52] desantis,recibe [52] corte,suprema [52] aprobación,corte [52] recibe,aprobación [52] puso,bueno [52] gobernador,desantis [52] suprema,florida [52] bueno,gobernador [52] florida,formar [52] formar,gran Top Word Pairs in Tweet in G10:
[40] covid,19 [17] grand,jury [16] cour,suprême [15] vaccins,#covid19 [15] international,etats [15] enquêter,vaccins [15] autorise,grand [15] suprême,#floride [15] #floride,autorise [15] etats,unis Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
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: