The graph represents a network of 10,738 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, 26 November 2022 at 08:30 UTC.
The requested start date was Saturday, 26 November 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, 4-minute period from Tuesday, 22 November 2022 at 12:15 UTC to Friday, 25 November 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 : 10738
Unique Edges : 5760
Edges With Duplicates : 11589
Total Edges : 17349
Number of Edge Types : 5
Retweet : 5291
MentionsInRetweet : 6056
Tweet : 2561
Replies to : 1425
Mentions : 2016
Self-Loops : 2588
Reciprocated Vertex Pair Ratio : 0.00342617152961981
Reciprocated Edge Ratio : 0.00682894591915409
Connected Components : 2605
Single-Vertex Connected Components : 774
Maximum Vertices in a Connected Component : 2605
Maximum Edges in a Connected Component : 5425
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.084394
Graph Density : 7.87465731276378E-05
Modularity : 0.576733
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,738 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, 26 November 2022 at 08:30 UTC.
The requested start date was Saturday, 26 November 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, 4-minute period from Tuesday, 22 November 2022 at 12:15 UTC to Friday, 25 November 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:
[1473] covid,19 [205] contra,covid [194] long,covid [174] manuelrico,hoy [131] aprobó,protocolo [131] died,suddenly [131] gobierno,ayuso [131] días,gobierno [131] protocolo,impedía [131] trasladar,hospital Top Word Pairs in Tweet in G1:
[190] covid,19 [39] covid,covid [24] contra,covid [20] #economia,#arredamento [20] #arredamento,#governo [20] più,#casaitaliaradio [20] #casa,#home [20] #governo,#politicaitaliana [20] #news,#economia [20] #radio,#casa Top Word Pairs in Tweet in G2:
[52] covid,jab [51] pfizer,covid [51] concludes,death [51] year,old [51] coroner,concludes [51] weeks,pfizer [51] boy,weeks [51] public,concern [51] 14,year [51] old,boy Top Word Pairs in Tweet in G3:
[44] covid,19 [38] origins,covid [38] dr,fauci [36] attempted,ask [34] answers,origins [29] times,personally [29] demand,answers [29] fauci,several [29] several,times [29] ask,fauci Top Word Pairs in Tweet in G4:
[25] statut,vaccinal [24] covid,19 [21] eu,covid [17] juin,2021 [17] ministre,santé [17] covid,juin [16] personnes,décédées [16] dit,ceci [16] anti,covid [16] année,dernière Top Word Pairs in Tweet in G5:
[20] covid,19 [18] non,vaccinés [17] contre,covid [15] soignants,non [15] eu,covid [13] personnes,sont [12] corps,âmes [12] ce,emmanuel [12] fait,personnes [12] investies,corps Top Word Pairs in Tweet in G6:
[98] covid,19 [91] part,loud [91] helped,legitimize [91] soros,covid [91] legitimize,instruments [91] instruments,control [91] saying,quiet [91] george,soros [91] quiet,part [91] 19,helped Top Word Pairs in Tweet in G7:
[28] continued,lie [28] fauci,wrong [28] wrong,danger [28] lie,claiming [28] paper,masks [28] isn,unvaccinated [28] claiming,vaccines [28] vaccines,cloth [28] cloth,paper [28] ppl,continued Top Word Pairs in Tweet in G8:
[174] manuelrico,hoy [131] trasladar,hospital [131] aprobó,protocolo [131] gobierno,ayuso [131] hospital,residentes [131] impedía,trasladar [131] protocolo,impedía [131] ayuso,aprobó [131] días,gobierno [126] residentes,vulnerab Top Word Pairs in Tweet in G9:
[59] video,today [59] absolutely,nails [59] covid,scam [59] andrew,tate [59] one,andrew [59] tate,absolutely [59] nails,covid [59] today,make [59] watch,video [59] scam,90 Top Word Pairs in Tweet in G10:
[86] died,suddenly [42] suddenly,heart [32] suddenly,trending [32] heart,damage [31] having,covid [31] 37,lifelong [31] covid,37 [31] friend,recently [31] recently,died [31] damage,having Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G9:
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 G10: