The graph represents a network of 12,144 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 Monday, 24 January 2022 at 09:42 UTC.
The requested start date was Monday, 24 January 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, 1-minute period from Wednesday, 19 January 2022 at 12:19 UTC to Friday, 21 January 2022 at 12:20 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 : 12144
Unique Edges : 7089
Edges With Duplicates : 11466
Total Edges : 18555
Number of Edge Types : 5
Retweet : 5271
MentionsInRetweet : 6061
Tweet : 3830
Mentions : 2384
Replies to : 1009
Self-Loops : 3866
Reciprocated Vertex Pair Ratio : 0.00405523893029373
Reciprocated Edge Ratio : 0.00807772077284139
Connected Components : 4004
Single-Vertex Connected Components : 1072
Maximum Vertices in a Connected Component : 396
Maximum Edges in a Connected Component : 920
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.565788
Graph Density : 6.21233875586893E-05
Modularity : 0.581313
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,144 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 Monday, 24 January 2022 at 09:42 UTC.
The requested start date was Monday, 24 January 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, 1-minute period from Wednesday, 19 January 2022 at 12:19 UTC to Friday, 21 January 2022 at 12:20 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:
[1875] covid,19 [214] covid,tests [213] contra,covid [150] free,covid [144] covid,cases [132] covid,restrictions [119] positive,covid [110] tested,positive [101] long,covid [92] boris,johnson Top Word Pairs in Tweet in G1:
[284] covid,19 [20] contra,covid [17] casos,covid [14] teste,covid [12] positive,covid [11] long,covid [10] covid,cases [10] covid,test [9] tested,positive [8] pra,covid Top Word Pairs in Tweet in G2:
[28] covid,19 [19] mauritius,one [19] one,first [19] first,countries [19] countries,send [19] send,covid [19] covid,vaccines [17] covid,positive [13] रह,ह [12] under,vaccine Top Word Pairs in Tweet in G3:
[41] covid,19 [38] covid,cases [21] day,day [19] increasing,day [18] cases,increasing [18] #stopofflineexams,#stopofflineclasses [16] offline,exam [13] #stopofflineclasses,#studentslivesmatter [12] jee,2022 [11] postpone,gate Top Word Pairs in Tweet in G4:
[13] annoncer,calendrier [12] athlète,sarah [12] sarah,atcho [12] atcho,souffre [12] souffre,péricardite [12] péricardite,journal [12] journal,suisse [12] suisse,matin [12] matin,rapporte [12] rapporte,ceci Top Word Pairs in Tweet in G5:
[22] covid,19 [17] contre,covid [16] japon,être [16] être,vacciné [16] vacciné,contre [16] covid,faut [16] faut,faire [16] faire,demande [16] demande,signer [16] signer,obligatoirement Top Word Pairs in Tweet in G6:
[50] year,old [27] last,night [25] tell,year [25] old,11 [25] 11,year [25] old,siblings [25] siblings,dad [25] dad,died [25] died,last [25] night,month Top Word Pairs in Tweet in G7:
[23] long,covid [13] scientists,health [13] health,leaders [13] leaders,warn [13] warn,danger [13] danger,england [13] england,covid [13] covid,restrictions [13] restrictions,end [12] dom_perrottet,nswcho Top Word Pairs in Tweet in G8:
[17] something,deeply [17] deeply,broken [17] broken,covid [17] covid,policy [17] policy,more [17] more,vaccine [17] vaccine,doses [17] doses,arm [17] arm,more [17] more,layers Top Word Pairs in Tweet in G9:
[10] covid,restrictions [6] uk,office [6] office,national [6] national,statistics [6] statistics,ons [6] ons,admitted [6] admitted,#statisticallysignificant [6] #statisticallysignificant,increase [6] increase,deaths [6] deaths,males Top Word Pairs in Tweet in G10:
[12] hong,kong [10] covid,19 [8] plan,covid [6] hamster,cull [5] podcast,discussing [5] discussing,tory [5] tory,mp [5] mp,christian [5] christian,wakeford's [5] wakeford's,defection 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:
Top Tweeters in G1:
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Top Tweeters in G10: