The graph represents a network of 8,284 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, 23 November 2022 at 08:43 UTC.
The requested start date was Wednesday, 23 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, 9-minute period from Monday, 21 November 2022 at 12:10 UTC to Tuesday, 22 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 : 8284
Unique Edges : 4333
Edges With Duplicates : 9241
Total Edges : 13574
Number of Edge Types : 5
Retweet : 4261
MentionsInRetweet : 4800
Tweet : 1974
Mentions : 1511
Replies to : 1028
Self-Loops : 2003
Reciprocated Vertex Pair Ratio : 0.0032908856774932
Reciprocated Edge Ratio : 0.00656018254420993
Connected Components : 2008
Single-Vertex Connected Components : 661
Maximum Vertices in a Connected Component : 2005
Maximum Edges in a Connected Component : 4059
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.117724
Graph Density : 0.000102191354564768
Modularity : 0.568834
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,284 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, 23 November 2022 at 08:43 UTC.
The requested start date was Wednesday, 23 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, 9-minute period from Monday, 21 November 2022 at 12:10 UTC to Tuesday, 22 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:
[1206] covid,19 [207] died,suddenly [196] george,soros [192] legitimize,instruments [192] instruments,control [192] 19,helped [192] helped,legitimize [182] manuelrico,hoy [173] soros,covid [168] quiet,part Top Word Pairs in Tweet in G1:
[173] covid,19 [18] #economia,#arredamento [18] #arredamento,#governo [18] più,#casaitaliaradio [18] #casa,#home [18] #governo,#politicaitaliana [18] #news,#economia [18] #radio,#casa [18] #covid,#news [18] leggi,più Top Word Pairs in Tweet in G2:
[91] covid,jab [91] pfizer,covid [91] concludes,death [91] year,old [91] coroner,concludes [91] weeks,pfizer [91] boy,weeks [91] public,concern [91] 14,year [91] old,boy Top Word Pairs in Tweet in G3:
[180] covid,19 [165] george,soros [165] soros,covid [163] helped,legitimize [163] legitimize,instruments [163] quiet,part [163] control,saying [163] 19,helped [163] instruments,control [163] part,loud Top Word Pairs in Tweet in G4:
[38] crise,covid [34] covid,19 [31] faire,vacciner [31] contre,covid [30] veulent,faire [29] covid,leur [29] bienvenue,monde [29] vacciner,contre [29] juge,parents [29] monde,après Top Word Pairs in Tweet in G5:
[157] died,suddenly [68] suddenly,trending [58] conspiracy,nuts [54] heart,damage [52] lifelong,athlete [52] friend,recently [52] suddenly,heart [52] 37,lifelong [52] damage,having [52] covid,37 Top Word Pairs in Tweet in G6:
[182] manuelrico,hoy [119] ayuso,aprobó [119] aprobó,protocolo [119] gobierno,ayuso [119] días,gobierno [119] trasladar,hospital [119] impedía,trasladar [119] hospital,residentes [119] protocolo,impedía [114] residentes,vulnerab Top Word Pairs in Tweet in G7:
[102] covid,19 [60] nuevos,contagios [52] contra,covid [51] recuerda,usar [51] esfuerzo,propio [51] bioseguridad,esfuerzo [51] resfriado,recuerda [51] usar,medidas [51] gripe,resfriado [51] medidas,bioseguridad Top Word Pairs in Tweet in G8:
[47] covid,cases [29] past,two [29] cases,past [29] lot,states [29] getting,hit [29] states,getting [29] sound,lot [29] weeks,sound [29] two,weeks [29] hit,hard Top Word Pairs in Tweet in G9:
[44] jones,trump [44] alex,jones [44] fact,check [44] covid,hypochondriacs [44] ruined,more [44] cernovich,covid [44] trump,combined [44] check,obvious [44] combined,fact [44] hypochondriacs,ruined Top Word Pairs in Tweet in G10:
[12] thought,covered [12] covered,indemnity [12] vaccines,thought [12] australia,administered [12] doctor,australia [12] administered,#covid [12] #covid,vaccines [12] oops,doctor [11] thejikky,oops [11] indemnity,schem 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 G8:
Top Replied-To in G9:
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: