The graph represents a network of 11,611 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 Tuesday, 15 June 2021 at 07:34 UTC.
The requested start date was Tuesday, 15 June 2021 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 3-day, 0-hour, 1-minute period from Friday, 11 June 2021 at 12:21 UTC to Monday, 14 June 2021 at 12:22 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 : 11611
Unique Edges : 6590
Edges With Duplicates : 11809
Total Edges : 18399
Number of Edge Types : 5
Retweet : 5401
MentionsInRetweet : 6309
Tweet : 3574
Mentions : 2274
Replies to : 841
Self-Loops : 3615
Reciprocated Vertex Pair Ratio : 0.00483038752881765
Reciprocated Edge Ratio : 0.00961433409810991
Connected Components : 3600
Single-Vertex Connected Components : 1059
Maximum Vertices in a Connected Component : 1818
Maximum Edges in a Connected Component : 3832
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 12.257753
Graph Density : 6.78987247457804E-05
Modularity : 0.575641
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,611 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 Tuesday, 15 June 2021 at 07:34 UTC.
The requested start date was Tuesday, 15 June 2021 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 3-day, 0-hour, 1-minute period from Friday, 11 June 2021 at 12:21 UTC to Monday, 14 June 2021 at 12:22 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:
[3060] covid,19 [312] contra,covid [204] 19,vaccine [176] covid,vaccine [154] covid,killing [150] many,lives [150] lives,many [149] killing,many [149] many,dreams [149] dreams,opportunities Top Word Pairs in Tweet in G1:
[392] covid,19 [39] covid,vaccine [35] contra,covid [22] 19,vaccine [19] anti,covid [12] casos,covid [10] kasus,covid [9] 19,cases [9] teste,covid [8] 19,vaccination Top Word Pairs in Tweet in G2:
[39] covid,19 [19] covid,pandemic [15] covid,test [14] doing,covid [13] test,prior [13] prior,autopsy [13] autopsy,norm [13] norm,considering [13] considering,current [13] current,situation Top Word Pairs in Tweet in G3:
[31] covid,19 [16] build,back [10] mark_j_harper,uksciencechief [10] uksciencechief,covid [10] covid,forever [10] forever,variants [10] variants,mutations [10] mutations,appear [10] appear,rest [10] rest,time Top Word Pairs in Tweet in G4:
[148] covid,killing [148] killing,many [148] many,lives [148] lives,many [148] many,dreams [148] dreams,opportunities [147] teeronnn,covid [3] week,patients [3] patients,died [3] died,covid Top Word Pairs in Tweet in G5:
[56] #covid,vaccine [55] second,dose [53] thread,19 [53] 19,year [53] year,old [53] old,simone [53] simone,scott [53] scott,excited [53] excited,second [53] dose,moderna_tx Top Word Pairs in Tweet in G6:
[10] contra,covid [10] covid,19 [7] vejam,lucrativa [7] lucrativa,indústria [7] indústria,cloroquina [7] cloroquina,defendida [7] defendida,jairbolsonaro [7] jairbolsonaro,uma [7] uma,amiga [7] amiga,disse Top Word Pairs in Tweet in G7:
[64] covid,19 [22] berehat,sambil [22] sambil,dengar [22] dengar,wifey [22] wifey,berleter [22] berleter,pasal [22] pasal,uni [22] uni,friend [22] friend,waktu [22] waktu,raya Top Word Pairs in Tweet in G8:
[29] covid,19 [17] contra,covid [8] 500,mil [8] mil,dosis [8] lucha,contra [8] ministro,salud [8] salud,alvaradoc_salud [8] alvaradoc_salud,recibe [8] recibe,8vo [8] 8vo,cargamento Top Word Pairs in Tweet in G9:
[36] covid,19 [14] virtually,hospitalized [14] hospitalized,covid [14] 19,patients [14] patients,one [14] one,thing [14] thing,common [14] common,unvaccinated [13] msnbc,virtually [11] judge,texas Top Word Pairs in Tweet in G10:
[29] covid,19 [29] virtually,hospitalized [29] hospitalized,covid [29] patients,one [29] one,thing [29] thing,common [29] common,unvaccinated [19] 19,patients [18] nbcnews,virtually [10] covid,patients Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: