The graph represents a network of 10,495 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 Tuesday, 12 October 2021 at 07:23 UTC.
The requested start date was Tuesday, 12 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 5-day, 0-hour, 4-minute period from Wednesday, 06 October 2021 at 12:13 UTC to Monday, 11 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 : 10495
Unique Edges : 5362
Edges With Duplicates : 11892
Total Edges : 17254
Number of Edge Types : 5
Retweet : 5410
MentionsInRetweet : 6023
Mentions : 1878
Tweet : 3513
Replies to : 430
Self-Loops : 3563
Reciprocated Vertex Pair Ratio : 0.00690867981409371
Reciprocated Edge Ratio : 0.0137225548902196
Connected Components : 3292
Single-Vertex Connected Components : 1134
Maximum Vertices in a Connected Component : 928
Maximum Edges in a Connected Component : 1918
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.88523
Graph Density : 7.27837127919827E-05
Modularity : 0.542765
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,495 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 Tuesday, 12 October 2021 at 07:23 UTC.
The requested start date was Tuesday, 12 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 5-day, 0-hour, 4-minute period from Wednesday, 06 October 2021 at 12:13 UTC to Monday, 11 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:
[6391] covid,19 [439] contra,covid [423] 19,vaccine [214] 19,vaccination [176] 19,pandemic [173] î,î [166] against,covid [147] àª,ઠ[141] time,educate [141] educate,engage Top Word Pairs in Tweet in G1:
[985] covid,19 [97] î,î [65] contra,covid [53] 19,vaccine [45] 19,pandemic [19] 19,vaccination [18] #coronavirus,#covid_19 [18] ø,ù [18] mental,health [17] 19,cases Top Word Pairs in Tweet in G2:
[233] covid,19 [141] time,educate [141] educate,engage [141] engage,time [141] time,enforce [141] enforce,law [141] law,saya [141] saya,telah [141] telah,minta [141] minta,laporan Top Word Pairs in Tweet in G3:
[227] covid,19 [100] 19,vaccination [92] uk,judge [92] judge,orders [92] orders,government [92] government,provide [92] provide,evidence [92] evidence,court [92] court,justifies [92] justifies,covid Top Word Pairs in Tweet in G4:
[157] covid,19 [76] contra,covid [58] pueblo,venezolano [44] prevención,clave [43] simulacro,electoral [42] luego,finalizada [42] finalizada,jornada [42] jornada,simulacro [42] electoral,envío [42] envío,acostumbrado Top Word Pairs in Tweet in G5:
[83] looking,happening [83] happening,australia [83] australia,confidently [83] confidently,world [83] world,war [83] war,upon [82] realcandaceo,looking [82] upon,mid [40] covid,19 [8] 19,vaccine Top Word Pairs in Tweet in G6:
[39] covid,19 [22] millions,personnes [21] étude,française [21] plus,22 [21] 22,millions [21] fait,#passsanitaire [21] #passsanitaire,soit [21] soit,maintenu [21] maintenu,alors [21] alors,qu'il Top Word Pairs in Tweet in G7:
[31] covid,19 [6] vaccinated,against [6] salud,mental [4] against,covid [4] urgent,pregnant [4] pregnant,recently [4] recently,pregnant [4] pregnant,plan [4] plan,pregnant [4] pregnant,vaccinated Top Word Pairs in Tweet in G8:
[52] huge,problem [52] problem,merck [52] merck,developed [52] developed,covid [52] covid,drug [52] drug,19 [52] 19,million [52] million,government [52] government,funding [52] funding,drug Top Word Pairs in Tweet in G9:
[76] 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 Word Pairs in Tweet in G10:
[53] covid,19 [34] ø,ø [26] ø,ù [24] ù,ø [20] against,covid [18] ªvery,strangeâ [18] strangeâ,wuhan [18] wuhan,started [18] started,mass [18] mass,purchasing Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: