The graph represents a network of 9,344 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, 15 October 2022 at 07:15 UTC.
The requested start date was Saturday, 15 October 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, 10-minute period from Wednesday, 12 October 2022 at 12:07 UTC to Friday, 14 October 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 : 9344
Unique Edges : 4486
Edges With Duplicates : 12428
Total Edges : 16914
Number of Edge Types : 5
Retweet : 5795
MentionsInRetweet : 6544
Tweet : 2294
Replies to : 528
Mentions : 1753
Self-Loops : 2362
Reciprocated Vertex Pair Ratio : 0.00576368876080692
Reciprocated Edge Ratio : 0.0114613180515759
Connected Components : 2066
Single-Vertex Connected Components : 791
Maximum Vertices in a Connected Component : 2691
Maximum Edges in a Connected Component : 5836
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.723707
Graph Density : 9.59439269601885E-05
Modularity : 0.540315
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 9,344 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, 15 October 2022 at 07:15 UTC.
The requested start date was Saturday, 15 October 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, 10-minute period from Wednesday, 12 October 2022 at 12:07 UTC to Friday, 14 October 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:
[6068] covid,19 [736] 19,vaccine [444] contra,covid [379] 450,million [353] doses,covid [348] billion,doses [347] purchase,billion [340] vaccine,450 [334] million,eu [322] eu,residents Top Word Pairs in Tweet in G1:
[736] covid,19 [41] 19,pandemic [38] contra,covid [33] 19,vaccine [23] 19,booster [23] 19,vaccines [17] during,covid [15] vacina,contra [14] pandemia,covid [13] updated,covid Top Word Pairs in Tweet in G2:
[133] covid,19 [101] vaccinés,manifestement [101] mises,garde [101] tous,vaccinés [101] retour,#covid_19 [101] manifestement,mises [101] explose,autour [101] autour,tous [101] #covid_19,explose [101] rentrée,retour Top Word Pairs in Tweet in G3:
[332] covid,19 [315] 19,vaccine [293] million,eu [293] billion,doses [293] 450,million [293] residents,biggest [293] purchase,billion [293] doses,covid [293] eu,residents [293] vaccine,450 Top Word Pairs in Tweet in G4:
[331] covid,19 [205] 19,venezuela [157] contra,covid [143] nuevos,contagios [136] 24,horas [134] últimas,24 [132] lucha,contra [132] contagios,últimas [132] venezuela,registra [101] 16,nuevos Top Word Pairs in Tweet in G5:
[157] covid,19 [141] 19,vaccine [114] pfizer,executive [86] 'this,scandalous' [86] executive,admits [86] prevent,transmission [86] tested,prevent [86] vaccine,never [86] never,tested [86] admits,covid Top Word Pairs in Tweet in G6:
[130] covid,19 [84] vaccin,covid [83] milliards,doses [83] 19,450 [83] doses,vaccin [81] l'achat,milliards [76] 450,millions [75] plus,grand [74] l'ue,plus [72] grand,scandale Top Word Pairs in Tweet in G7:
[33] covid,19 [14] faces,150 [14] bilderbilgers,influenced [14] response,covid [14] influenced,controlled [14] 150,bilderbilgers [14] names,faces [14] controlled,response [5] whether,scientific [5] body,recommended Top Word Pairs in Tweet in G8:
[134] covid,19 [93] diputado,holandés [93] baudet,expresó [93] urgente,diputado [93] thierry,baudet [93] 19,estuvo [93] expresó,pandemia [93] planeada,año [93] holandés,thierry [93] estuvo,planeada Top Word Pairs in Tweet in G9:
[75] covid,19 [47] lesson,everyone [47] 19,research [47] learned,covid [47] everyone,learned [46] drsimonegold,lesson [16] deal,canada [16] hospitalizations,study [16] covid,drug [16] 450m,deal Top Word Pairs in Tweet in G10:
[107] covid,19 [101] uk,rocket [101] rocket,third [101] cases,uk [101] 19,cases [100] skynews,covid [4] 84,days [4] high,risk [4] risk,individuals [4] early,84 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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