The graph represents a network of 10,780 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, 14 November 2022 at 09:38 UTC.
The requested start date was Monday, 14 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 2-day, 0-hour, 3-minute period from Tuesday, 01 November 2022 at 12:16 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 : 10780
Unique Edges : 5999
Edges With Duplicates : 11546
Total Edges : 17545
Number of Edge Types : 5
Retweet : 5315
MentionsInRetweet : 6147
Replies to : 1431
Mentions : 2220
Tweet : 2432
Self-Loops : 2477
Reciprocated Vertex Pair Ratio : 0.00534473543559594
Reciprocated Edge Ratio : 0.0106326422115896
Connected Components : 2547
Single-Vertex Connected Components : 720
Maximum Vertices in a Connected Component : 3075
Maximum Edges in a Connected Component : 6504
Maximum Geodesic Distance (Diameter) : 44
Average Geodesic Distance : 13.897728
Graph Density : 8.09396956667443E-05
Modularity : 0.585274
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 10,780 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, 14 November 2022 at 09:38 UTC.
The requested start date was Monday, 14 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 2-day, 0-hour, 3-minute period from Tuesday, 01 November 2022 at 12:16 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:
[1287] covid,19 [737] î,î [476] ãƒ,ム[252] caught,covid [248] during,covid [236] past,years [232] once,past [231] mfs,haven't [231] covid,once [231] haven't,caught Top Word Pairs in Tweet in G1:
[160] covid,19 [149] î,î [53] ãƒ,ム[21] long,covid [17] æ,æ [17] ç,æ [17] during,covid [16] covid,vaccine [12] zero,covid [12] îºî,î Top Word Pairs in Tweet in G2:
[113] health,secretary [102] matt,hancock [84] former,health [56] secretary,oversaw [53] celebrityâ,heâ [53] uk,having [53] isnâ,celebrityâ [53] heâ,former [53] highest,death [53] oversaw,uk Top Word Pairs in Tweet in G3:
[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 G4:
[30] crise,covid [23] covid,19 [22] non,vaccinã [18] rã,intã [18] intã,grer [17] scandale,gestion [17] soignants,non [17] gestion,criminelle [17] yvan,rioufol [15] covid,cnews Top Word Pairs in Tweet in G5:
[29] brochures,disant [29] zã,lande [29] lande,services [29] publient,brochures [29] services,renseignement [29] nouvelle,zã [29] renseignement,publient [28] s'il,soupã [28] soupã,onne [28] onne,amis Top Word Pairs in Tweet in G6:
[21] theatlantic,forget [21] during,covid [20] mental,health [19] cdc,director [17] covid,response [16] tested,positive [16] vaxxed,cdc [16] 5x,vaxxed [16] covid,again [16] positive,covid Top Word Pairs in Tweet in G7:
[32] excess,deaths [31] doctors,sounding [31] alarms,mysterious [31] increase,deaths [31] mysterious,increase [31] massive,spikes [31] deaths,massive [31] spikes,excess [31] european,doctors [31] sounding,alarms Top Word Pairs in Tweet in G8:
[48] powell,covid [48] ago,tweeted [48] nyt,obit [48] read,nyt [48] author,julie [48] weeks,ago [48] beloved,author [48] obit,beloved [48] tweeted,bunch [48] julie,powell Top Word Pairs in Tweet in G9:
[30] covid,19 [19] warped,tour [19] invited,warped [19] canada,18 [19] read,write [19] write,wrote [19] 15,biked [19] tour,15 [19] biked,canada [19] 18,27 Top Word Pairs in Tweet in G10:
[28] white,supremacist [25] covid,decisions [25] officials,made [25] made,'disastrous' [25] ingrahamangle,amnesty [25] 'disastrous',covid [25] amnesty,officials [21] covid,19 [13] œamnestyâ,those [13] explain,œamnestyâ Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: