The graph represents a network of 10,508 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 Friday, 25 November 2022 at 08:53 UTC.
The requested start date was Friday, 25 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, 4-minute period from Monday, 21 November 2022 at 12:15 UTC to Wednesday, 23 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 : 10508
Unique Edges : 5609
Edges With Duplicates : 11550
Total Edges : 17159
Number of Edge Types : 5
Retweet : 5282
MentionsInRetweet : 5980
Tweet : 2507
Mentions : 1998
Replies to : 1392
Self-Loops : 2539
Reciprocated Vertex Pair Ratio : 0.00324602641593911
Reciprocated Edge Ratio : 0.00647104764029901
Connected Components : 2473
Single-Vertex Connected Components : 796
Maximum Vertices in a Connected Component : 2558
Maximum Edges in a Connected Component : 5212
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.328775
Graph Density : 8.11810380079421E-05
Modularity : 0.574081
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 10,508 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 Friday, 25 November 2022 at 08:53 UTC.
The requested start date was Friday, 25 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, 4-minute period from Monday, 21 November 2022 at 12:15 UTC to Wednesday, 23 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:
[1569] covid,19 [241] contra,covid [214] died,suddenly [211] george,soros [208] 19,helped [208] helped,legitimize [206] legitimize,instruments [206] instruments,control [189] soros,covid [187] long,covid Top Word Pairs in Tweet in G1:
[184] covid,19 [26] #economia,#arredamento [26] #arredamento,#governo [26] più,#casaitaliaradio [26] #casa,#home [26] #governo,#politicaitaliana [26] #news,#economia [26] #radio,#casa [26] contra,covid [26] #covid,#news Top Word Pairs in Tweet in G2:
[103] concludes,death [103] death,14 [103] significant,public [103] weeks,pfizer [103] pfizer,covid [103] old,boy [103] public,concern [103] covid,jab [103] jab,significant [103] 14,year Top Word Pairs in Tweet in G3:
[48] covid,19 [40] dr,fauci [36] origins,covid [35] attempted,ask [32] answers,origins [28] fauci,several [28] ask,fauci [28] demand,answers [28] several,times [28] white,house Top Word Pairs in Tweet in G4:
[187] covid,19 [174] soros,covid [174] george,soros [172] part,loud [172] helped,legitimize [172] legitimize,instruments [172] instruments,control [172] saying,quiet [172] quiet,part [172] 19,helped Top Word Pairs in Tweet in G5:
[159] died,suddenly [69] suddenly,trending [59] conspiracy,nuts [54] heart,damage [53] recently,died [53] covid,37 [53] suddenly,heart [53] having,covid [53] friend,recently [53] lifelong,athlete Top Word Pairs in Tweet in G6:
[58] dr,peter [55] peter,mccullough [42] covid,vaccines [27] oveta,fuller [27] emergency,use [27] authorisation,three [27] virologist,dr [27] dr,oveta [27] vaccines,died [27] use,authorisation Top Word Pairs in Tweet in G7:
[16] permanently,banned [16] member,congress [14] big,tech [14] banned,january [14] january,2022 [14] died,suddenly [14] 2022,violated [14] oligarchs,permanently [14] tech,oligarchs [14] congress,unelected Top Word Pairs in Tweet in G8:
[182] manuelrico,hoy [137] ayuso,aprobó [137] aprobó,protocolo [137] gobierno,ayuso [137] días,gobierno [137] trasladar,hospital [137] impedía,trasladar [137] hospital,residentes [137] protocolo,impedía [131] residentes,vulnerab Top Word Pairs in Tweet in G9:
[164] covid,19 [72] vtvcanal8,#prevención [63] nuevos,contagios [54] contra,covid [48] lucha,contra [45] 24,horas [45] últimas,24 [45] venezuela,registra [45] 19,venezuela [45] contagios,últimas Top Word Pairs in Tweet in G10:
[21] pfizer,moderna [19] two,weeks [19] first,covid [19] 18,million [19] getting,hit [19] covid,shot [19] weeks,sound [19] covid,cases [19] cases,past [19] more,18 Top Replied-To in Entire Graph:
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:
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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: