The graph represents a network of 10,270 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 Wednesday, 13 October 2021 at 07:22 UTC.
The requested start date was Wednesday, 13 October 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 4-day, 0-hour, 5-minute period from Friday, 08 October 2021 at 12:12 UTC to Tuesday, 12 October 2021 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 : 10270
Unique Edges : 5254
Edges With Duplicates : 11962
Total Edges : 17216
Number of Edge Types : 5
Retweet : 5450
MentionsInRetweet : 6217
Tweet : 3411
Mentions : 1742
Replies to : 396
Self-Loops : 3447
Reciprocated Vertex Pair Ratio : 0.00647571606475716
Reciprocated Edge Ratio : 0.0128681019549616
Connected Components : 3120
Single-Vertex Connected Components : 1119
Maximum Vertices in a Connected Component : 1185
Maximum Edges in a Connected Component : 2758
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 10.336654
Graph Density : 7.66337801361487E-05
Modularity : 0.544652
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,270 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 Wednesday, 13 October 2021 at 07:22 UTC.
The requested start date was Wednesday, 13 October 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 4-day, 0-hour, 5-minute period from Friday, 08 October 2021 at 12:12 UTC to Tuesday, 12 October 2021 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:
[6405] covid,19 [543] 19,vaccine [461] contra,covid [199] 19,pandemic [144] natural,immunity [144] greg,abbott [142] vaccine,mandates [140] against,covid [112] 19,vaccination [105] immunity,covid Top Word Pairs in Tweet in G1:
[1030] covid,19 [66] 19,vaccine [61] contra,covid [49] 19,pandemic [18] against,covid [17] during,covid [17] 19,vaccines [16] mental,health [16] kachin,state [16] #whatshappeninginmyanmar,#oct12coup Top Word Pairs in Tweet in G2:
[196] covid,19 [72] time,educate [72] educate,engage [72] engage,time [72] time,enforce [72] enforce,law [72] law,saya [72] saya,telah [72] telah,minta [72] minta,laporan Top Word Pairs in Tweet in G3:
[104] covid,19 [22] labour,leader [21] skynews,covid [16] 19,vaccine [15] 2012,mine [15] mine,000 [15] 000,miles [15] miles,away [15] away,wuhan [15] wuhan,mini Top Word Pairs in Tweet in G4:
[138] covid,19 [47] natural,immunity [34] immunity,covid [34] 19,twenty [34] twenty,nine [34] nine,scientific [34] scientific,studies [34] studies,share [34] share,employers [34] employers,health Top Word Pairs in Tweet in G5:
[111] covid,19 [43] contra,covid [43] prevención,clave [42] pueblo,venezolano [41] luego,finalizada [41] finalizada,jornada [41] jornada,simulacro [41] simulacro,electoral [41] electoral,envío [41] envío,acostumbrado Top Word Pairs in Tweet in G6:
[37] médecin,convoqué [37] convoqué,par [37] par,conseil [37] conseil,l'ordre [36] l'ordre,parce [36] parce,qu [36] qu,traite [36] traite,covid [36] covid,ce [36] ce,genre Top Word Pairs in Tweet in G7:
[58] covid,19 [39] issued,executive [39] executive,order [38] vaccine,mandates [36] entity,texas [36] gregabbott_tx,issued [34] order,prohibiting [34] prohibiting,vaccine [34] mandates,entity [34] texas,added Top Word Pairs in Tweet in G8:
[107] covid,19 [47] greg,abbott [47] 19,vaccine [38] safe,always [38] always,remain [38] remain,voluntary [38] voluntary,never [38] never,forced [37] abbott,tonight [37] tonight,covid Top Word Pairs in Tweet in G9:
[75] covid,19 [23] contra,covid [15] 19,vaccine [9] sputnik,news [9] news,approve [9] approve,russia's [9] russia's,#sputnikv [9] #sputnikv,covid [9] vaccine,end [9] end,year Top Word Pairs in Tweet in G10:
[82] covid,19 [34] expressing,concern [34] long,covid [33] dear,sajid [33] sajid,javid [33] javid,expressing [33] concern,long [33] covid,numbers [33] numbers,ignoring [33] ignoring,huge Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: