The graph represents a network of 7,327 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 November 2020 at 10:29 UTC.
The requested start date was Friday, 06 November 2020 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, 5-hour, 41-minute period from Monday, 02 November 2020 at 19:19 UTC to Friday, 06 November 2020 at 01:00 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 : 7327
Unique Edges : 4144
Edges With Duplicates : 11406
Total Edges : 15550
Number of Edge Types : 5
Mentions : 2164
Replies to : 778
Retweet : 4945
MentionsInRetweet : 5985
Tweet : 1678
Self-Loops : 1701
Reciprocated Vertex Pair Ratio : 0.00636694386694387
Reciprocated Edge Ratio : 0.0126533247256294
Connected Components : 1213
Single-Vertex Connected Components : 574
Maximum Vertices in a Connected Component : 4013
Maximum Edges in a Connected Component : 10389
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 5.736806
Graph Density : 0.000144287369618337
Modularity : 0.496148
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,327 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 07 November 2020 at 10:29 UTC.
The requested start date was Friday, 06 November 2020 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, 5-hour, 41-minute period from Monday, 02 November 2020 at 19:19 UTC to Friday, 06 November 2020 at 01:00 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 : NCoV
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:
[1079] covid,19 [612] protect,yourself [601] yourself,others [427] 2019,ncov [382] feet,apart [376] stay,feet [367] help,protect [334] wash,hands [325] voting,locations [324] check,updated Top Word Pairs in Tweet in G1:
[355] protect,yourself [347] yourself,others [198] stay,feet [198] check,updated [198] updated,voting [198] voting,locations [198] locations,requirements [198] feet,apart [193] wash,hands [192] cdcgov,#vote Top Word Pairs in Tweet in G2:
[231] covid,19 [68] 2019,ncov [33] wear,mask [32] spread,covid [29] learn,more [26] protect,yourself [24] wash,hands [22] yourself,others [22] lung,something [22] something,bigger Top Word Pairs in Tweet in G3:
[215] datos,#covid19 [125] actualización,datos [116] sanidadgob,actualización [113] #covid19,españa [109] llegar,casa [90] frente,#covid19 [90] españa,primer [90] primer,caso [90] caso,inicial [90] inicial,actualizados Top Word Pairs in Tweet in G4:
[162] protect,yourself [159] yourself,others [120] help,protect [114] others,#covid19 [96] make,sure [89] time,leave [89] leave,home [89] home,make [89] sure,follow [89] follow,three Top Word Pairs in Tweet in G5:
[182] covid,19 [114] 10,días [113] pacientes,covid [113] 19,grave [113] grave,capacidad [113] capacidad,replicación [113] replicación,virus [113] virus,desaparece [113] desaparece,10 [113] días,tras Top Word Pairs in Tweet in G6:
[131] què,faig [131] faig,rebo [130] rebo,sms [130] sms,salut [130] salut,obre [130] obre,copia [130] copia,pin [130] pin,personal [130] personal,respectant [130] respectant,majúscules Top Word Pairs in Tweet in G7:
[78] travel,public [78] public,transportation [78] transportation,airplanes [78] airplanes,trains [78] trains,subways [78] subways,buses [78] buses,taxis [78] taxis,ride [78] ride,shares [78] shares,ships Top Word Pairs in Tweet in G8:
[324] 11,00 [176] #covid19,#covid19at [173] neuwirthe,#covid19 [162] gestern,11 [162] 00,heute [162] heute,11 [100] #covid19at,tag [100] tag,beginnt [100] beginnt,unerfreulichen [100] unerfreulichen,nachrichten Top Word Pairs in Tweet in G9:
[95] bull,consent [95] consent,comply [95] comply,property [95] property,people [94] drmadej,bull [19] camp,sector [16] covid,19 [16] 20,49 [16] 50,69 [16] sector,level Top Word Pairs in Tweet in G10:
[8] covid,19 [8] survival,rates [8] 19,99 [8] 99,997 [8] 997,20 [8] 20,49 [8] 49,99 [8] 99,98 [8] 98,50 [8] 50,69 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
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: