The graph represents a network of 8,986 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, 29 August 2022 at 07:16 UTC.
The requested start date was Monday, 29 August 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 3-day, 0-hour, 15-minute period from Thursday, 25 August 2022 at 12:02 UTC to Sunday, 28 August 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 : 8986
Unique Edges : 4698
Edges With Duplicates : 12183
Total Edges : 16881
Number of Edge Types : 5
Retweet : 5534
MentionsInRetweet : 6368
Replies to : 597
Tweet : 2491
Mentions : 1891
Self-Loops : 2567
Reciprocated Vertex Pair Ratio : 0.0066396163777204
Reciprocated Edge Ratio : 0.0131916452913155
Connected Components : 2315
Single-Vertex Connected Components : 864
Maximum Vertices in a Connected Component : 546
Maximum Edges in a Connected Component : 2742
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.16081
Graph Density : 0.000101400546277329
Modularity : 0.534656
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8,986 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, 29 August 2022 at 07:16 UTC.
The requested start date was Monday, 29 August 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 3-day, 0-hour, 15-minute period from Thursday, 25 August 2022 at 12:02 UTC to Sunday, 28 August 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:
[5902] covid,19 [477] contra,covid [240] 19,vaccine [222] medidas,bioseguridad [218] 19,pandemic [181] #covid,19 [155] 99,nuevos [152] nuevos,casos [147] 19,vaccines [145] lucha,contra Top Word Pairs in Tweet in G1:
[843] covid,19 [50] 19,pandemic [32] 19,vaccine [24] contra,covid [23] 19,vaccines [19] pfizer,biontech [19] louvre,france [19] france,miss [19] miss,days [19] days,traveling Top Word Pairs in Tweet in G2:
[1045] covid,19 [373] contra,covid [185] medidas,bioseguridad [144] 99,nuevos [138] vtvcanal8,#prevención [130] 19,venezuela [127] nuevos,casos [118] lucha,contra [117] 19,#cuídatedelacovid19 [107] #covid,19 Top Word Pairs in Tweet in G3:
[99] covid,19 [56] breaking,report [54] chuckcallesto,breaking [54] report,youtube [54] youtube,reverses [54] reverses,covid [54] 19,medical [54] medical,misinformation [54] misinformation,policy [54] policy,removes Top Word Pairs in Tweet in G4:
[41] covid,19 [30] soignant,suspendu [30] suspendu,marchait [30] marchait,vers [30] vers,l'elysée [30] l'elysée,pr [30] pr,être [30] être,entendu [30] entendu,par [30] par,macron Top Word Pairs in Tweet in G5:
[33] covid,19 [7] 19,sequelae [7] sequelae,long [7] long,term [7] term,effects [7] effects,predicted [7] predicted,problem [7] problem,#longcovid [7] #longcovid,predicted [7] 19,rebound Top Word Pairs in Tweet in G6:
[52] covid,19 [17] aux,#etatsunis [17] #etatsunis,choses [17] choses,évoluent [17] évoluent,toutes [17] toutes,publicités [17] publicités,vaccination [17] vaccination,médias [17] médias,doivent [17] doivent,être Top Word Pairs in Tweet in G7:
[60] covid,19 [19] 19,vaccine [19] stop,spread [18] vaccine,trials [18] trials,provides [18] provides,sterilizing [18] sterilizing,mucosal [18] mucosal,immunity [18] immunity,stop [18] spread,end Top Word Pairs in Tweet in G8:
[81] covid,19 [13] hazard,index [13] nursing,home [11] according,centers [11] centers,medicare [11] medicare,medicaid [11] medicaid,services [11] services,covid [11] 19,nursing [11] home,data Top Word Pairs in Tweet in G9:
[72] retweet,didn [72] didn,vaccinated [72] vaccinated,covid [72] covid,19 [72] 19,still [72] still,alive [72] alive,see [72] see,many [72] many,people [71] advobarryroux,retweet Top Word Pairs in Tweet in G10:
[48] covid,19 [10] andrejplenkovic,michealmartintd [10] michealmartintd,xavier_bettel [10] xavier_bettel,sanchezcastejon [10] sanchezcastejon,jacindaardern [10] jacindaardern,thanks [10] thanks,supporting [10] supporting,#vaccineequity [9] airborne,transmission [9] #vaccineequity,covid 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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Top Tweeters in G10: