The graph represents a network of 8,730 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 Wednesday, 16 November 2022 at 08:42 UTC.
The requested start date was Wednesday, 16 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 1-day, 0-hour, 7-minute period from Wednesday, 02 November 2022 at 12:12 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 : 8730
Unique Edges : 4898
Edges With Duplicates : 9096
Total Edges : 13994
Number of Edge Types : 5
Retweet : 4179
MentionsInRetweet : 4818
Replies to : 1205
Mentions : 1867
Tweet : 1925
Self-Loops : 1962
Reciprocated Vertex Pair Ratio : 0.00614070217594447
Reciprocated Edge Ratio : 0.0122064481889346
Connected Components : 2107
Single-Vertex Connected Components : 585
Maximum Vertices in a Connected Component : 2112
Maximum Edges in a Connected Component : 4371
Maximum Geodesic Distance (Diameter) : 43
Average Geodesic Distance : 14.182707
Graph Density : 9.89053486180612E-05
Modularity : 0.588925
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 8,730 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 Wednesday, 16 November 2022 at 08:42 UTC.
The requested start date was Wednesday, 16 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 1-day, 0-hour, 7-minute period from Wednesday, 02 November 2022 at 12:12 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:
[1090] covid,19 [737] î,î [412] ãƒ,ム[251] caught,covid [236] past,years [231] mfs,haven't [231] covid,once [231] once,past [231] haven't,caught [230] redlightning420,mfs Top Word Pairs in Tweet in G1:
[149] î,î [135] covid,19 [43] ãƒ,ム[18] long,covid [16] æ,æ [16] ç,æ [15] covid,vaccine [14] during,covid [12] îºî,î [11] zero,covid Top Word Pairs in Tweet in G2:
[244] caught,covid [231] once,past [231] mfs,haven't [231] past,years [231] haven't,caught [231] covid,once [230] redlightning420,mfs [13] people,caught [13] believe,many [13] covid,realise Top Word Pairs in Tweet in G3:
[27] covid,19 [19] tour,15 [19] warped,tour [19] 18,27 [19] canada,18 [19] code,invited [19] invited,warped [19] biked,canada [19] wrote,code [19] 15,biked Top Word Pairs in Tweet in G4:
[38] highest,death [38] death,tolls [37] hancock,isnâ [37] celebrity,heâ [37] heâ,health [37] secretary,oversaw [37] oversaw,uk [37] having,one [37] isnâ,celebrity [37] matt,hancock Top Word Pairs in Tweet in G5:
[29] publient,brochures [29] services,renseignement [29] nouvelle,zã [29] brochures,disant [29] lande,services [29] renseignement,publient [29] zã,lande [28] maintenir,rã [28] onne,amis [28] s'il,soupã Top Word Pairs in Tweet in G6:
[30] long,covid [27] covid,19 [12] 35,million [12] immediate,family [12] estimated,35 [12] lost,immediate [12] family,member [12] americans,long [12] million,americans [12] million,lost Top Word Pairs in Tweet in G7:
[117] covid,19 [59] nonq,pcr [58] shows,42 [58] pcr,test [58] 19,nonq [58] test,covid [58] peer,reviewed [58] reviewed,study [58] 42,false [58] rate,covid Top Word Pairs in Tweet in G8:
[33] excess,deaths [32] doctors,sounding [32] alarms,mysterious [32] increase,deaths [32] mysterious,increase [32] massive,spikes [32] deaths,massive [32] spikes,excess [32] european,doctors [32] sounding,alarms Top Word Pairs in Tweet in G9:
[148] manuelrico,hoy [98] impedã,trasladar [98] dã,gobierno [98] gobierno,ayuso [98] trasladar,hospital [98] aprobã,protocolo [98] protocolo,impedã [98] ayuso,aprobã [97] residentes,mã [97] hospital,residentes Top Word Pairs in Tweet in G10:
[20] during,covid [20] mental,health [13] profemilyoster,draseemmalhotra [12] covid,response [10] uptick,mental [10] word,profemilyoster [10] defend,people [10] put,word [10] health,professionals [10] popular,defend Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G10:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: