The graph represents a network of 11,734 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 Wednesday, 10 November 2021 at 08:50 UTC.
The requested start date was Wednesday, 10 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 Sunday, 07 November 2021 at 12:17 UTC to Tuesday, 09 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 : 11734
Unique Edges : 6819
Edges With Duplicates : 11906
Total Edges : 18725
Number of Edge Types : 5
Retweet : 5429
MentionsInRetweet : 6306
Tweet : 3271
Replies to : 1028
Mentions : 2691
Self-Loops : 3335
Reciprocated Vertex Pair Ratio : 0.00581757739455641
Reciprocated Edge Ratio : 0.0115678578806032
Connected Components : 3254
Single-Vertex Connected Components : 885
Maximum Vertices in a Connected Component : 2624
Maximum Edges in a Connected Component : 5703
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 11.949756
Graph Density : 7.03250296193888E-05
Modularity : 0.583246
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,734 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 Wednesday, 10 November 2021 at 08:50 UTC.
The requested start date was Wednesday, 10 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 Sunday, 07 November 2021 at 12:17 UTC to Tuesday, 09 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:
[2420] covid,19 [238] contra,covid [216] 19,vaccine [196] covid,vaccine [142] against,covid [138] aaron,rodgers [125] covid,patients [109] covid,cases [109] died,covid [89] 19,vaccines Top Word Pairs in Tweet in G1:
[319] covid,19 [34] contra,covid [17] covid,vaccine [16] 19,vaccine [10] aaron,rodgers [10] vaccine,mandate [9] last,year [9] against,covid [9] big,bird [9] #akudemokrat,bangkit Top Word Pairs in Tweet in G2:
[82] covid,patients [49] 500,fewer [49] fewer,covid [42] patients,hospital [39] fake,news [39] news,used [39] used,call [39] call,lying [39] lying,500 [38] berniespofforth,fake Top Word Pairs in Tweet in G3:
[22] covid,sont [22] morts,covid [21] covid,19 [21] sont,vaccinés [20] vaccination,covid [19] contre,covid [18] kamala,harris [18] harris,vaccin [18] vaccin,marche [18] marche,parce Top Word Pairs in Tweet in G4:
[89] covid,19 [62] 19,vaccine [54] vaccine,today [54] today,wing [54] wing,feeling [54] feeling,little [54] little,sore [54] sore,it'll [54] it'll,give [54] give,body Top Word Pairs in Tweet in G5:
[58] owen,paterson [33] covid,19 [27] paterson,randox [26] randox,awarded [22] angelarayner,randox [20] contracts,without [19] awarded,over [19] over,500m [18] facts,jimbethell [18] jimbethell,meeting Top Word Pairs in Tweet in G6:
[30] covid,19 [21] applying,brakes [21] brakes,warp [21] warp,speed [21] speed,covid [21] 19,vaccinations [21] vaccinations,children [21] children,long [21] long,term [21] term,side Top Word Pairs in Tweet in G7:
[43] covid,19 [19] covid,death [18] gap,covid [18] death,toll [18] toll,between [18] between,red [18] red,blue [18] blue,america [18] america,grown [18] grown,faster Top Word Pairs in Tweet in G8:
[53] breaking,report [49] chuckcallesto,breaking [28] aaron,rodgers [24] green,bay [24] bay,packers [24] packers,quarterback [24] covid,19 [23] report,state [23] state,farm [23] farm,continue Top Word Pairs in Tweet in G9:
[34] single,dose [34] dose,monoclonal [34] monoclonal,antibodies [34] antibodies,drug [34] drug,provides [34] provides,long [34] long,term [34] term,protection [34] protection,against [34] against,#covid19 Top Word Pairs in Tweet in G10:
[20] covid,19 [20] peter,doshi [19] revolution,televised [19] televised,lying [19] rises,against [19] against,covid [19] covid,mandates [14] mandates,#resist [14] temps,d'injecter [14] d'injecter,peu Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: