The graph represents a network of 4,612 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, 17 November 2022 at 10:16 UTC.
The requested start date was Thursday, 17 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 8-minute period from Thursday, 03 November 2022 at 12:11 UTC to Thursday, 03 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 : 4612
Unique Edges : 2713
Edges With Duplicates : 4387
Total Edges : 7100
Number of Edge Types : 5
Retweet : 2032
MentionsInRetweet : 2369
Tweet : 1025
Replies to : 651
Mentions : 1023
Self-Loops : 1047
Reciprocated Vertex Pair Ratio : 0.00683491062039958
Reciprocated Edge Ratio : 0.0135770234986945
Connected Components : 1246
Single-Vertex Connected Components : 324
Maximum Vertices in a Connected Component : 200
Maximum Edges in a Connected Component : 369
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.831229
Graph Density : 0.000180100265532684
Modularity : 0.597944
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 4,612 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, 17 November 2022 at 10:16 UTC.
The requested start date was Thursday, 17 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 8-minute period from Thursday, 03 November 2022 at 12:11 UTC to Thursday, 03 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:
[552] î,î [511] covid,19 [147] ãƒ,ム[111] during,covid [104] long,covid [95] manuelrico,hoy [81] doctors,sounding [81] mysterious,increase [75] caught,covid [68] haven't,caught Top Word Pairs in Tweet in G1:
[126] î,î [73] covid,19 [18] ãƒ,ム[14] ç,æ [11] long,covid [10] æ,æ [10] îºî,î [9] covid,vaccine [8] ïƒî,î [8] î,îºî Top Word Pairs in Tweet in G2:
[29] ãªtre,dernier [29] maintenir,rã [29] lâ,instar [29] rã,gles [29] gles,insensã [29] vigueur,lâ [29] insensã,vigueur [29] #covid,pouvons [29] pays,monde [29] pouvons,ãªtre Top Word Pairs in Tweet in G3:
[32] excess,deaths [31] deaths,massive [31] alarms,mysterious [31] massive,spikes [31] european,doctors [31] increase,deaths [31] sounding,alarms [31] spikes,excess [31] mysterious,increase [31] doctors,sounding Top Word Pairs in Tweet in G4:
[68] covid,once [68] haven't,caught [68] past,years [68] caught,covid [68] mfs,haven't [68] once,past [67] redlightning420,mfs Top Word Pairs in Tweet in G5:
[95] manuelrico,hoy [56] impedã,trasladar [56] dã,gobierno [56] gobierno,ayuso [56] trasladar,hospital [56] aprobã,protocolo [56] protocolo,impedã [56] ayuso,aprobã [55] residentes,mã [55] hospital,residentes Top Word Pairs in Tweet in G6:
[7] covid,19 [4] nonq,pcr [3] reviewed,study [3] 42,false [3] shows,42 [3] study,shows [3] pcr,test [3] test,covid [3] rate,covid [3] breaking,peer Top Word Pairs in Tweet in G7:
[47] alarm,mysterious [47] patients,deaths [47] doctors,sounding [47] increase,patients [47] breakingðÿš,norwegian [47] norwegian,doctors [47] sounding,alarm [47] mysterious,increase [46] deaths,countriesâ [46] petersweden7,breakingðÿš Top Word Pairs in Tweet in G8:
[24] canada,still [24] vaccinated,covid [21] solutions,protect [21] big,pharma [21] several,days [21] cured,several [21] still,50 [21] one,year [21] #ivermectin,cured [21] year,ago Top Word Pairs in Tweet in G9:
[7] ƒ,facing [7] morning,everyone [7] soaring,costs [7] poverty,hunger [7] interest,rate [7] good,morning [7] facing,bleak [7] bleak,winter [7] costs,collapse [7] rate,rises Top Word Pairs in Tweet in G10:
[25] many,problems [21] covid,19 [20] 19,please [20] faced,many [20] problems,covid [17] understand,situation [17] need,subject [17] situation,faced [17] provide,subject [17] please,provide Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: