The graph represents a network of 10,223 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 Monday, 25 October 2021 at 07:21 UTC.
The requested start date was Monday, 25 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 2-day, 0-hour, 4-minute period from Friday, 22 October 2021 at 12:13 UTC to Sunday, 24 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 : 10223
Unique Edges : 5323
Edges With Duplicates : 12046
Total Edges : 17369
Number of Edge Types : 5
Retweet : 5441
MentionsInRetweet : 6177
Tweet : 3301
Mentions : 2000
Replies to : 450
Self-Loops : 3369
Reciprocated Vertex Pair Ratio : 0.00450779727095517
Reciprocated Edge Ratio : 0.00897513644633111
Connected Components : 2965
Single-Vertex Connected Components : 1089
Maximum Vertices in a Connected Component : 1856
Maximum Edges in a Connected Component : 4195
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 9.512712
Graph Density : 7.889989451242E-05
Modularity : 0.545055
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,223 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 Monday, 25 October 2021 at 07:21 UTC.
The requested start date was Monday, 25 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 2-day, 0-hour, 4-minute period from Friday, 22 October 2021 at 12:13 UTC to Sunday, 24 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:
[6241] covid,19 [415] 19,vaccine [279] contra,covid [180] against,covid [174] 19,vaccines [170] 19,pandemic [147] 19,vaccination [134] 19,cases [128] 19,deaths [115] public,health Top Word Pairs in Tweet in G1:
[997] covid,19 [59] 19,vaccine [47] against,covid [44] contra,covid [37] vaccinated,against [33] 19,vaccination [31] 19,pandemic [31] national,news [31] news,effort [31] effort,more Top Word Pairs in Tweet in G2:
[103] nurses,doctors [103] doctors,technicians [103] technicians,first [103] first,responders [103] responders,gone [103] gone,above [103] above,beyond [103] beyond,provide [103] provide,care [103] care,comfort Top Word Pairs in Tweet in G3:
[124] covid,19 [35] 19,vaccine [32] narendramodi,ji [31] 19,vaccination [31] pm,narendramodi [29] 100,crore [27] vaccine,makers [25] vaccination,drive [24] india,remarkable [22] remarkable,covid Top Word Pairs in Tweet in G4:
[217] covid,19 [74] 19,vaccine [31] doses,covid [24] pfizer,kid [24] kid,size [24] size,doses [24] vaccine,safe [24] safe,nearly [24] nearly,91 [24] 91,effective Top Word Pairs in Tweet in G5:
[155] covid,19 [65] propagación,covid [61] sistema,permitirá [61] permitirá,controlar [61] controlar,propagación [61] 19,sumado [50] sumado,medidas [44] contra,covid [28] 19,venezuela [26] lucha,contra Top Word Pairs in Tweet in G6:
[104] covid,19 [61] retweet,agree [59] rob_kimbell,support [35] support,covid [35] 19,passports [35] passports,retweet [34] expecte02304588,breaking [26] support,punishing [26] punishing,penalising [26] penalising,covid Top Word Pairs in Tweet in G7:
[57] italy,facing [57] facing,over [57] over,16 [57] 16,workforce [57] workforce,being [57] being,unemployed [57] unemployed,banned [57] banned,working [57] working,unless [57] unless,comply Top Word Pairs in Tweet in G8:
[80] covid,19 [54] doctormacias,covid [52] covid,bolsonaro [52] bolsonaro,acusado [52] acusado,brasil [52] brasil,investigación [52] investigación,senado [52] senado,desastroso [52] desastroso,manejo [52] manejo,covid Top Word Pairs in Tweet in G9:
[37] possible,surrisque [37] surrisque,myocardites [34] myocardites,après [34] après,2è [34] 2è,dose [34] dose,surtout [34] surtout,chez [34] chez,hommes [34] hommes,jeunes [34] jeunes,vient Top Word Pairs in Tweet in G10:
[3] covid,19 [2] browningneelyn,andylumm [2] andylumm,temple_surly [2] swedishchf,burgerlab12 [2] burgerlab12,bebert701 [2] bebert701,rtheatheist [2] rtheatheist,jneill [2] jneill,ghoppe [2] ghoppe,livetogro [2] livetogro,mdrisette Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
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 G9:
Top Tweeters in G10: