The graph represents a network of 11,322 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 Monday, 06 June 2022 at 08:49 UTC.
The requested start date was Monday, 06 June 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, 01 June 2022 at 12:15 UTC to Friday, 03 June 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 : 11322
Unique Edges : 6709
Edges With Duplicates : 11141
Total Edges : 17850
Number of Edge Types : 5
Retweet : 5121
MentionsInRetweet : 6044
Tweet : 2959
Mentions : 2522
Replies to : 1204
Self-Loops : 2996
Reciprocated Vertex Pair Ratio : 0.00524176294394523
Reciprocated Edge Ratio : 0.0104288602745557
Connected Components : 3237
Single-Vertex Connected Components : 1053
Maximum Vertices in a Connected Component : 2279
Maximum Edges in a Connected Component : 4855
Maximum Geodesic Distance (Diameter) : 39
Average Geodesic Distance : 15.076187
Graph Density : 7.33130497181688E-05
Modularity : 0.592305
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,322 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 Monday, 06 June 2022 at 08:49 UTC.
The requested start date was Monday, 06 June 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, 01 June 2022 at 12:15 UTC to Friday, 03 June 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:
[1694] covid,19 [636] î,î [563] ãƒ,ム[285] long,covid [228] covid,still [220] weâ,ve [206] understand,covid [206] itâ,over [203] donâ,understand [203] still,spiking Top Word Pairs in Tweet in G1:
[262] covid,19 [181] î,î [51] ø,ø [33] àª,ઠ[25] long,covid [23] ø,ù [20] teste,covid [19] ù,ø [18] ãƒ,ム[16] îµî,î Top Word Pairs in Tweet in G2:
[200] donâ,understand [200] understand,covid [200] covid,still [200] still,spiking [200] spiking,weâ [200] weâ,ve [200] ve,tried [200] tried,everything [200] everything,pretending [200] pretending,itâ Top Word Pairs in Tweet in G3:
[70] contre,covid [30] vã,ran [29] 2021,vã [29] ran,vitamine [29] vitamine,dangereuse [29] dangereuse,d'utilitã [29] d'utilitã,contre [29] covid,quasi [29] quasi,interdite [29] interdite,pharmacie Top Word Pairs in Tweet in G4:
[23] long,covid [16] covid,19 [15] cost,living [14] uk,consumed [14] consumed,cost [14] living,crisis [14] crisis,borisjohnson [14] borisjohnson,sajidjavid [14] sajidjavid,quietly [14] quietly,preparing Top Word Pairs in Tweet in G5:
[121] covid,19 [105] recovery,covid [104] speedy,recovery [102] sonia,gandhi [101] congress,president [100] wishing,congress [100] president,smt [100] gandhi,ji [99] smt,sonia [98] ji,speedy Top Word Pairs in Tweet in G6:
[46] covid,19 [36] contre,covid [19] dã,cã [17] vaccin,contre [16] 19,ces [16] ces,soignants [16] soignants,rã [16] rã,vã [16] vã,lent [16] lent,avoir Top Word Pairs in Tweet in G7:
[159] manuelrico,hoy [120] dã,gobierno [120] gobierno,ayuso [120] ayuso,aprobã [120] aprobã,protocolo [120] protocolo,impedã [120] impedã,trasladar [120] trasladar,hospital [120] hospital,residentes [120] residentes,mã Top Word Pairs in Tweet in G8:
[65] covid,19 [47] speedy,recovery [42] tested,positive [40] positive,covid [34] sonia,gandhi [33] president,smt [32] smt,sonia [30] good,health [28] congress,president [23] recovery,covid Top Word Pairs in Tweet in G9:
[28] ethical,scientific [28] scientific,reason [28] reason,require [28] require,neg [28] neg,covid [28] covid,tests [28] tests,unvaxxed [28] unvaxxed,people [28] people,participate [28] participate,normal Top Word Pairs in Tweet in G10:
[21] covid,19 [16] covid,cases [15] long,covid [10] 100,children [9] more,100 [9] children,australia [9] australia,hospitalised [9] hospitalised,inflammatory [9] inflammatory,multisystem [9] multisystem,syndrome Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: