The graph represents a network of 9,687 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, 24 June 2022 at 07:19 UTC.
The requested start date was Friday, 24 June 2022 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 2-day, 0-hour, 14-minute period from Tuesday, 21 June 2022 at 12:03 UTC to Thursday, 23 June 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 : 9687
Unique Edges : 5170
Edges With Duplicates : 12007
Total Edges : 17177
Number of Edge Types : 5
Retweet : 5418
MentionsInRetweet : 6374
Tweet : 2726
Replies to : 489
Mentions : 2170
Self-Loops : 2792
Reciprocated Vertex Pair Ratio : 0.00730276547348258
Reciprocated Edge Ratio : 0.0144996434513905
Connected Components : 2642
Single-Vertex Connected Components : 1098
Maximum Vertices in a Connected Component : 1294
Maximum Edges in a Connected Component : 2715
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.331489
Graph Density : 8.96744544464749E-05
Modularity : 0.54832
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,687 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, 24 June 2022 at 07:19 UTC.
The requested start date was Friday, 24 June 2022 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 2-day, 0-hour, 14-minute period from Tuesday, 21 June 2022 at 12:03 UTC to Thursday, 23 June 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:
[6244] covid,19 [311] 19,vaccine [304] 19,pandemic [291] contra,covid [229] 19,vaccines [126] inflation,biden's [126] biden's,fault [126] fault,covid [126] pandemic,trump's [125] dorothy1parker,inflation Top Word Pairs in Tweet in G1:
[1035] covid,19 [55] 19,vaccine [42] 19,pandemic [33] contra,covid [26] 19,cases [24] 19,vaccines [23] #covid,19 [19] casos,covid [18] pandemi,covid [16] 19,vaccination Top Word Pairs in Tweet in G2:
[391] covid,19 [97] contra,covid [88] 19,venezuela [79] medidas,bioseguridad [79] métodos,preventivos [75] uso,adecuado [75] adecuado,mascarilla [75] gbluisrosalesm,#covid_19 [72] nuevos,casos [62] mascarilla,indica Top Word Pairs in Tweet in G3:
[148] covid,19 [63] prolongation,certificat [45] contre,covid [41] nancy,suis [41] suis,anti [41] anti,vax [41] vax,médecin [41] médecin,suspendu [41] suspendu,car [41] car,non Top Word Pairs in Tweet in G4:
[131] covid,19 [84] safe,effective [83] united,states [83] 19,vaccines [76] vaccines,kids [73] folks,united [73] states,became [73] became,first [73] first,country [73] country,world Top Word Pairs in Tweet in G5:
[128] covid,19 [127] 19,pandemic [126] inflation,biden's [126] biden's,fault [126] fault,covid [126] pandemic,trump's [125] dorothy1parker,inflation Top Word Pairs in Tweet in G6:
[55] covid,19 [35] sajidjavid,yesterday [35] yesterday,bbc [35] bbc,covid [35] covid,vaccines [35] vaccines,saved [35] saved,millions [35] millions,lives [35] lives,justify [35] justify,moderna Top Word Pairs in Tweet in G7:
[84] covid,19 [21] guidelines,continue [19] cdc,covid [19] continue,cause [19] cause,significant [19] significant,disruption [19] disruption,children [19] children,education [19] education,working [19] working,parents Top Word Pairs in Tweet in G8:
[23] covid,19 [8] aged,11 [8] 11,years [8] years,doses [6] expected,covid [6] 19,omicron [6] omicron,sub [6] sub,lineages [6] lineages,ba [6] ba,ba Top Word Pairs in Tweet in G9:
[104] covid,19 [102] salamat,sa [102] sa,13 [102] 13,trillion [102] trillion,utang [102] utang,higit [102] higit,69 [102] 69,000 [102] 000,namatay [102] namatay,dahil Top Word Pairs in Tweet in G10:
[36] compared,those [36] those,first [36] first,infection [36] infection,reinfection [36] reinfection,led [34] extremely,important [34] important,paper [34] paper,outcomes [34] outcomes,covid [34] covid,reinfection Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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