The graph represents a network of 11,024 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 Thursday, 01 September 2022 at 09:24 UTC.
The requested start date was Thursday, 01 September 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 Monday, 29 August 2022 at 12:15 UTC to Wednesday, 31 August 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 : 11024
Unique Edges : 6424
Edges With Duplicates : 11660
Total Edges : 18084
Number of Edge Types : 5
Retweet : 5332
MentionsInRetweet : 6352
Tweet : 2704
Mentions : 2421
Replies to : 1275
Self-Loops : 2746
Reciprocated Vertex Pair Ratio : 0.0051698670605613
Reciprocated Edge Ratio : 0.0102865540044085
Connected Components : 2845
Single-Vertex Connected Components : 815
Maximum Vertices in a Connected Component : 2252
Maximum Edges in a Connected Component : 4884
Maximum Geodesic Distance (Diameter) : 37
Average Geodesic Distance : 12.264261
Graph Density : 7.84001968703254E-05
Modularity : 0.582544
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 11,024 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 Thursday, 01 September 2022 at 09:24 UTC.
The requested start date was Thursday, 01 September 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 Monday, 29 August 2022 at 12:15 UTC to Wednesday, 31 August 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:
[1735] covid,19 [231] manuelrico,hoy [223] long,covid [157] días,gobierno [157] aprobó,protocolo [157] protocolo,impedía [157] impedía,trasladar [157] trasladar,hospital [157] hospital,residentes [155] gobierno,ayuso Top Word Pairs in Tweet in G1:
[225] covid,19 [23] contra,covid [14] long,covid [13] life,expectancy [12] due,covid [12] 19,pandemic [11] covid,vaccine [11] during,covid [11] covid,test [10] leggi,più Top Word Pairs in Tweet in G2:
[22] long,covid [17] isolation,period [15] rule,everyone [15] everyone,catches [15] catches,covid [15] covid,make [15] make,appointment [15] appointment,see [15] see,mp [15] mp,days Top Word Pairs in Tweet in G3:
[25] covid,19 [22] life,expectancy [14] re,tired [14] tired,covid [14] covid,yeah [14] yeah,tired [14] tired,ableism [14] ableism,eugenic [14] eugenic,society [14] society,poverty Top Word Pairs in Tweet in G4:
[231] manuelrico,hoy [157] días,gobierno [157] aprobó,protocolo [157] protocolo,impedía [157] impedía,trasladar [157] trasladar,hospital [157] hospital,residentes [155] gobierno,ayuso [155] ayuso,aprobó [149] residentes,vulnerab Top Word Pairs in Tweet in G5:
[20] conseil,défense [18] vaccin,covid [17] covid,19 [13] crise,énergétique [13] défense,l'énergie [13] attention,parents [13] parents,vaccin [13] covid,être [13] être,associé [13] associé,vaccin Top Word Pairs in Tweet in G6:
[21] covid,19 [14] uk,acted [14] acted,unlawfully [14] unlawfully,appointing [14] appointing,dido [14] dido,harding [14] harding,key [14] key,covid [14] covid,role [14] role,judges Top Word Pairs in Tweet in G7:
[54] covid,19 [46] myocarditis,men [45] undeniable,vaccine [45] vaccine,cause [45] cause,more [45] more,myocarditis [45] men,under [45] under,40 [45] 40,covid [45] 19,patrone Top Word Pairs in Tweet in G8:
[170] covid,19 [77] 19,venezuela [56] contra,covid [42] vtvcanal8,#prevención [41] lucha,contra [41] venezuela,registra [41] nuevos,contagios [36] #envideo,covid [36] venezuela,registró [36] casos,comunitarios Top Word Pairs in Tweet in G9:
[21] vaccin,pfizer [20] pfizer,non [20] non,recommandé [20] recommandé,aux [20] aux,femmes [18] covid,booster [17] tested,positive [17] positive,getting [17] getting,covid [17] covid,shots Top Word Pairs in Tweet in G10:
[73] matt,gaetz [73] gaetz,company [73] company,482k [73] 482k,ppp [73] ppp,loan [73] loan,actually [73] actually,exist [73] exist,covid [73] covid,loan [73] loan,fraud 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 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: