The graph represents a network of 8,961 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 09 December 2022 at 08:16 UTC.
The requested start date was Friday, 09 December 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, 18-minute period from Tuesday, 06 December 2022 at 11:59 UTC to Thursday, 08 December 2022 at 12:17 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 : 8961
Unique Edges : 4380
Edges With Duplicates : 11881
Total Edges : 16261
Number of Edge Types : 5
Retweet : 5370
MentionsInRetweet : 6013
Replies to : 592
Mentions : 1640
Tweet : 2646
Self-Loops : 2729
Reciprocated Vertex Pair Ratio : 0.00552486187845304
Reciprocated Edge Ratio : 0.010989010989011
Connected Components : 2414
Single-Vertex Connected Components : 1040
Maximum Vertices in a Connected Component : 2122
Maximum Edges in a Connected Component : 4614
Maximum Geodesic Distance (Diameter) : 43
Average Geodesic Distance : 12.065332
Graph Density : 9.2937451177324E-05
Modularity : 0.515332
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,961 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 09 December 2022 at 08:16 UTC.
The requested start date was Friday, 09 December 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, 18-minute period from Tuesday, 06 December 2022 at 11:59 UTC to Thursday, 08 December 2022 at 12:17 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-19
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:
[5964] covid,19 [310] 19,vaccine [296] 19,vaccines [276] contra,covid [221] 19,mejor [220] combate,covid [220] mascarilla,vacunas [220] combinación,mascarilla [220] consciente,cuídate [220] mejor,combinación Top Word Pairs in Tweet in G1:
[1002] covid,19 [56] 19,vaccine [42] 19,pandemic [30] contra,covid [23] casos,covid [22] 19,booster [21] vaccine,mandate [20] 19,vaccines [18] 19,restrictions [17] vaksinasi,covid Top Word Pairs in Tweet in G2:
[667] covid,19 [211] combate,covid [211] combinación,mascarilla [211] mascarilla,vacunas [211] #prevención,combate [211] mejor,combinación [211] 19,mejor [211] vacunas,sé [211] consciente,cuídate [211] sé,consciente Top Word Pairs in Tweet in G3:
[204] covid,19 [62] 19,related [61] 19,vaccines [46] today,discuss [46] researchers,today [46] meeting,global [46] medical,researchers [46] current,science [46] global,doctors [46] discuss,current Top Word Pairs in Tweet in G4:
[138] covid,19 [43] vaccins,covid [40] rencontrer,eurodéputés [40] pdg,#pfizer [40] eurodéputés,michelerivasi [40] 19,pdg [40] #pfizer,refuse [38] sudradio,vaccins [31] 19,vaccines [27] web,médias Top Word Pairs in Tweet in G5:
[95] covid,19 [90] 19,relief [90] desantis,used [90] sponsor,don [90] fund,illegal [90] trafficking,operation [90] relief,funds [90] interest,covid [90] funds,fund [90] operation,sponsor Top Word Pairs in Tweet in G6:
[135] covid,19 [22] excess,mortality [20] group,actuaries [20] institute,released [20] actuaries,institute [20] released,update [20] analysis,today [20] update,excess [20] 19,mortality [20] mortality,working Top Word Pairs in Tweet in G7:
[107] following,#twitterfiles [107] obtained,documents [107] secret,twitter [107] breaking,following [107] #twitterfiles,afl [107] uncovering,secret [107] twitter,portal [107] afl,obtained [107] documents,uncovering [106] america1stlegal,breaking Top Word Pairs in Tweet in G8:
[117] covid,19 [110] govt,created [109] lab,china [109] wuhan,lab [109] function,research [109] created,covid [109] 19,funding [109] gain,function [109] research,wuhan [109] know,govt Top Word Pairs in Tweet in G9:
[98] covid,19 [77] 18,29 [73] 29,yr [73] young,adults [73] cause,net [73] net,clinical [73] 19,boosters [73] read,paper [73] harm,young [73] adults,18 Top Word Pairs in Tweet in G10:
[109] covid,19 [21] margaret,keenan [21] person,world [21] ago,today [21] becomes,1st [21] world,receive [21] vaccine,clinical [21] keenan,becomes [21] 1st,person [21] clinical,trials Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: