The graph represents a network of 12,016 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 12 November 2021 at 08:59 UTC.
The requested start date was Friday, 12 November 2021 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 2-day, 0-hour, 2-minute period from Tuesday, 09 November 2021 at 12:17 UTC to Thursday, 11 November 2021 at 12:19 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 : 12016
Unique Edges : 7049
Edges With Duplicates : 11737
Total Edges : 18786
Number of Edge Types : 5
Retweet : 5247
MentionsInRetweet : 6097
Tweet : 3499
Mentions : 2862
Replies to : 1081
Self-Loops : 3545
Reciprocated Vertex Pair Ratio : 0.00658032170461667
Reciprocated Edge Ratio : 0.0130746082805852
Connected Components : 3537
Single-Vertex Connected Components : 1002
Maximum Vertices in a Connected Component : 1862
Maximum Edges in a Connected Component : 3946
Maximum Geodesic Distance (Diameter) : 37
Average Geodesic Distance : 13.632599
Graph Density : 6.67510596219883E-05
Modularity : 0.585201
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,016 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 12 November 2021 at 08:59 UTC.
The requested start date was Friday, 12 November 2021 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 2-day, 0-hour, 2-minute period from Tuesday, 09 November 2021 at 12:17 UTC to Thursday, 11 November 2021 at 12:19 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
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:
[2384] covid,19 [231] contra,covid [205] covid,vaccine [174] 19,vaccine [159] aaron,rodgers [121] against,covid [95] positive,covid [95] covid,cases [91] 14,650 [76] tested,positive Top Word Pairs in Tweet in G1:
[361] covid,19 [33] contra,covid [24] covid,vaccine [21] 19,vaccine [11] pandemi,covid [10] covid,vaccines [9] positive,covid [9] covid,deaths [9] 19,pandemic [9] casos,covid Top Word Pairs in Tweet in G2:
[63] seulement,hospitalisations [63] hospitalisations,étaient [63] étaient,liées [63] liées,#covid [62] chiffres,#atih [62] #atih,2020 [62] 2020,seulement [62] #covid,réa [62] réa,donné [61] herstalle,chiffres Top Word Pairs in Tweet in G3:
[37] covid,19 [33] original,antigenic [30] sars,cov [24] florida,covid [21] great,introduction [21] introduction,original [21] antigenic,referred [21] referred,talk [21] talk,florida [21] covid,summit Top Word Pairs in Tweet in G4:
[57] saturday,marks [57] marks,year [57] year,admitted [57] admitted,icu [57] icu,acute [57] acute,respiratory [57] respiratory,failure [57] failure,26 [57] 26,things [57] things,probably Top Word Pairs in Tweet in G5:
[18] nhs,staff [17] covid,19 [10] nhs,covid [10] uk,govt [8] geoffrey,cox [8] thinking,109 [8] 109,children [8] children,parents [8] parents,watching [8] watching,children Top Word Pairs in Tweet in G6:
[53] breaking,report [49] chuckcallesto,breaking [30] report,michigan's [30] michigan's,saginaw [30] saginaw,township [30] township,community [30] community,school [30] school,system [30] system,closes [30] closes,large Top Word Pairs in Tweet in G7:
[21] covid,19 [7] peter,doshi [5] covid,vaccine [5] temps,d'injecter [5] d'injecter,peu [5] peu,d'esprit [5] d'esprit,critique [5] critique,ce [5] ce,débat [5] débat,pr Top Word Pairs in Tweet in G8:
[22] covid,19 [13] mask,mandates [13] covid,passports [12] covid,cases [10] germany,draconian [10] draconian,restrictions [10] restrictions,mask [10] mandates,covid [10] passports,europe [10] europe,result Top Word Pairs in Tweet in G9:
[4] tony__heller,richienrg [4] usehead_heart,tonybaduy [4] skepticalmutant,paulwady [4] paulwady,andrewlazarus4 [4] andrewlazarus4,thisisnothappen [4] andylumm,fillmorewhite [4] shared_facts,rcprentice [4] rcprentice,bigbruce1972 [4] bigbruce1972,rrevnews [4] rrevnews,maureenstroud Top Word Pairs in Tweet in G10:
[20] positive,covid [19] fifteen,thousand [19] thousand,eight [19] eight,hundred [19] hundred,nine [19] nine,deaths [19] deaths,within [19] within,60 [19] 60,days [19] days,positive 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: