The graph represents a network of 10,824 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 Saturday, 13 August 2022 at 07:29 UTC.
The requested start date was Saturday, 13 August 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, 4-minute period from Wednesday, 10 August 2022 at 12:15 UTC to Friday, 12 August 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 : 10824
Unique Edges : 5754
Edges With Duplicates : 11885
Total Edges : 17639
Number of Edge Types : 5
Retweet : 5396
MentionsInRetweet : 6163
Tweet : 2680
Replies to : 1281
Mentions : 2119
Self-Loops : 2717
Reciprocated Vertex Pair Ratio : 0.00444099034084601
Reciprocated Edge Ratio : 0.0088427102907041
Connected Components : 2821
Single-Vertex Connected Components : 772
Maximum Vertices in a Connected Component : 2253
Maximum Edges in a Connected Component : 4762
Maximum Geodesic Distance (Diameter) : 39
Average Geodesic Distance : 14.21705
Graph Density : 7.72269971446071E-05
Modularity : 0.569431
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 10,824 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 Saturday, 13 August 2022 at 07:29 UTC.
The requested start date was Saturday, 13 August 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, 4-minute period from Wednesday, 10 August 2022 at 12:15 UTC to Friday, 12 August 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:
[1638] covid,19 [279] long,covid [185] manuelrico,hoy [178] white,list [176] covid,vaccine [141] contra,covid [137] días,gobierno [137] gobierno,ayuso [137] ayuso,aprobó [137] aprobó,protocolo Top Word Pairs in Tweet in G1:
[200] covid,19 [16] positive,covid [13] contra,covid [13] long,covid [12] during,covid [12] kim,jong [9] covid,vaccines [9] tested,positive [8] 19,pandemic [8] #womensmonth,part Top Word Pairs in Tweet in G2:
[89] vaccinated,unvaccinated [71] cdc,longer [69] nbsaphiermd,cdc [68] longer,differentiates [68] differentiates,between [68] between,covid [68] covid,vaccinated [68] unvaccinated,individuals [68] individuals,employee [68] employee,fired Top Word Pairs in Tweet in G3:
[32] cet,automne [29] f_philippot,allemagne [26] l'honneur,d'une [23] droits,différents [22] contre,covid [21] allemagne,déchaîne [21] déchaîne,restrictions [21] restrictions,covid [21] covid,système [21] système,fou Top Word Pairs in Tweet in G4:
[122] covid,19 [73] 19,mrna [55] harvard,comprova [55] comprova,eficácia [55] eficácia,hidroxicloroquina [49] estudos,randomizados [49] duplo,cego [46] urgente,harvard [46] hidroxicloroquina,em [46] em,estudos Top Word Pairs in Tweet in G5:
[191] covid,19 [60] vtvcanal8,#prevención [56] buenos,días [53] contra,covid [42] usa,tapabocas [39] llevar,covid [39] covid,casa [39] casa,cuida [39] cuida,familia [39] familia,usa Top Word Pairs in Tweet in G6:
[185] manuelrico,hoy [137] días,gobierno [137] gobierno,ayuso [137] ayuso,aprobó [137] aprobó,protocolo [137] protocolo,impedía [137] impedía,trasladar [137] trasladar,hospital [137] hospital,residentes [132] residentes,vulnerab Top Word Pairs in Tweet in G7:
[23] public,health [22] health,obsession [22] obsession,managing [22] managing,anxiety [22] anxiety,gaslighting [22] gaslighting,highest [22] highest,order [22] order,significant [21] youarelobbylud,public [21] significant,thre Top Word Pairs in Tweet in G8:
[104] learning,live [52] live,covid [52] covid,meant [52] meant,learning [52] live,basic [52] basic,precautions [52] precautions,masks [52] masks,enhanced [52] enhanced,air [52] air,handling Top Word Pairs in Tweet in G9:
[20] net,consumer [20] consumer,credit [20] credit,balances [20] balances,rising [20] rising,record [20] record,rates [20] rates,consumers [20] consumers,choose [20] choose,violence [20] violence,cut Top Word Pairs in Tweet in G10:
[32] cdc,finally [24] cdc,decided [24] decided,those [24] those,exposed [24] exposed,covid [24] covid,longer [24] longer,quarantine [24] quarantine,students [24] students,stay [24] stay,class Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
Top Mentioned in G3:
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Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: