The graph represents a network of 8,898 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 Saturday, 26 November 2022 at 08:15 UTC.
The requested start date was Saturday, 26 November 2022 at 01:01 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, 18-minute period from Tuesday, 22 November 2022 at 11:59 UTC to Friday, 25 November 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 : 8898
Unique Edges : 4036
Edges With Duplicates : 12114
Total Edges : 16150
Number of Edge Types : 5
Retweet : 5580
MentionsInRetweet : 6156
Tweet : 2564
Replies to : 544
Mentions : 1306
Self-Loops : 2618
Reciprocated Vertex Pair Ratio : 0.0050985255615268
Reciprocated Edge Ratio : 0.0101453249245956
Connected Components : 2371
Single-Vertex Connected Components : 961
Maximum Vertices in a Connected Component : 1630
Maximum Edges in a Connected Component : 3457
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.652357
Graph Density : 9.21360876541356E-05
Modularity : 0.508007
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,898 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 Saturday, 26 November 2022 at 08:15 UTC.
The requested start date was Saturday, 26 November 2022 at 01:01 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, 18-minute period from Tuesday, 22 November 2022 at 11:59 UTC to Friday, 25 November 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:
[6089] covid,19 [581] contra,covid [479] vtvcanal8,#prevención [444] george,soros [434] 19,helped [434] helped,legitimize [420] legitimize,instruments [420] instruments,control [408] soros,covid [375] quiet,part Top Word Pairs in Tweet in G1:
[931] covid,19 [64] contra,covid [54] 19,pandemic [43] casos,covid [26] #covid,19 [23] 19,booster [19] 19,vaccine [19] during,covid [17] aumento,casos [17] pandemia,covid Top Word Pairs in Tweet in G2:
[429] covid,19 [406] george,soros [404] helped,legitimize [404] legitimize,instruments [404] 19,helped [404] instruments,control [371] soros,covid [369] quiet,part [369] control,saying [369] part,loud Top Word Pairs in Tweet in G3:
[619] covid,19 [474] vtvcanal8,#prevención [256] medidas,bioseguridad [220] recuerda,usar [220] bioseguridad,esfuerzo [220] resfriado,recuerda [220] usar,medidas [220] gripe,resfriado [220] presentas,gripe [219] esfuerzo,propio Top Word Pairs in Tweet in G4:
[85] douté,notre [85] avais,douté [85] système,santé [85] notre,système [85] confiance,totale [85] lequel,avais [85] jamais,avais [85] avais,confiance [85] santé,lequel [85] jusqu,#covid_19 Top Word Pairs in Tweet in G5:
[80] covid,19 [62] times,personally [62] fauci,several [62] origins,covid [62] several,times [62] attempted,ask [62] ask,fauci [62] answers,origins [62] personally,demand [62] demand,answers Top Word Pairs in Tweet in G6:
[58] covid,19 [32] fait,arrêt [31] trouvez,jeune [31] arrêt,cardiaque [31] covid,semaine [31] football,soit [31] semaine,dernière [31] cardiaque,jouant [31] jouant,football [31] jeune,fait Top Word Pairs in Tweet in G7:
[88] covid,19 [17] 19,infections [16] areas,associated [16] associated,language [16] brain,changes [16] study,reveals [16] significant,brain [16] neuroimaging,study [16] changes,areas [16] language,comprehension Top Word Pairs in Tweet in G8:
[42] funded,gain [42] govt,funded [42] function,research [42] gain,function [41] wuhan,lab [41] lab,created [41] chinese,govt [41] come,clean [41] govt,come [41] research,wuhan Top Word Pairs in Tweet in G9:
[61] covid,19 [26] extrapolate,results [26] entire,population [26] population,2020 [26] vitamin,d3 [26] results,vitamin [26] d3,supplementation [26] supplementation,entire [25] quick,scream [25] 19,jabs Top Word Pairs in Tweet in G10:
[30] covid,19 [21] doctors',rights [21] victory,doctors' [18] peter,mccullough [18] dr,peter [17] lawsuits,surrounding [17] big,legal [17] flood,lawsuits [17] fda,hit [17] hit,flood Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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 G10: