The graph represents a network of 11,664 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, 22 January 2021 at 09:13 UTC.
The requested start date was Friday, 22 January 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, 0-minute period from Tuesday, 19 January 2021 at 13:46 UTC to Thursday, 21 January 2021 at 13:47 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 : 11664
Unique Edges : 6395
Edges With Duplicates : 11894
Total Edges : 18289
Number of Edge Types : 5
Tweet : 3366
Retweet : 5512
MentionsInRetweet : 6424
Replies to : 822
Mentions : 2165
Self-Loops : 3404
Reciprocated Vertex Pair Ratio : 0.00507446221731936
Reciprocated Edge Ratio : 0.010097684118099
Connected Components : 3649
Single-Vertex Connected Components : 1024
Maximum Vertices in a Connected Component : 1159
Maximum Edges in a Connected Component : 2306
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.945898
Graph Density : 6.69743118560366E-05
Modularity : 0.573177
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 11,664 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, 22 January 2021 at 09:13 UTC.
The requested start date was Friday, 22 January 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, 0-minute period from Tuesday, 19 January 2021 at 13:46 UTC to Thursday, 21 January 2021 at 13:47 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:
[3235] covid,19 [524] contra,covid [239] 400,000 [175] covid,over [175] น,covid [169] fondo,humanitario [167] once,covid [166] over,starting [166] starting,sound [166] sound,lot Top Word Pairs in Tweet in G1:
[411] covid,19 [44] contra,covid [26] covid,vaccine [22] 19,vaccine [18] 400,000 [13] china,virus [10] #covid,19 [10] casos,covid [10] during,covid [9] anti,covid Top Word Pairs in Tweet in G2:
[204] covid,19 [150] fondo,humanitario [144] humanitario,banco [142] banco,medicinas [126] crea,fondo [115] contra,covid [113] #vacunasparalospueblos,crea [111] medicinas,través [102] día,#vacunasparalospueblos [91] #20ene,etiqueta Top Word Pairs in Tweet in G3:
[87] 400,000 [83] lost,covid [81] 000,americans [80] americans,ve [80] ve,lost [74] tonight,washington [74] washington,nation [74] nation,came [74] came,together [74] together,honor Top Word Pairs in Tweet in G4:
[28] india,deeply [28] deeply,honoured [28] honoured,long [28] long,trusted [28] trusted,partner [28] partner,meeting [28] meeting,healthcare [28] healthcare,needs [28] needs,global [28] global,community Top Word Pairs in Tweet in G5:
[166] once,covid [166] covid,over [166] over,starting [166] starting,sound [166] sound,lot [166] lot,win [166] win,lottery [165] _kiranxx,once [3] pls,show [3] show,more Top Word Pairs in Tweet in G6:
[157] ช,นเคยบอกแล [157] นเคยบอกแล,วว [157] วว,าท [157] าท,กอย [157] กอย,างบนโลกเป [157] างบนโลกเป,นของอ [157] นของอ,จ [157] จ,นหมดยกเว [157] นหมดยกเว,น [157] น,covid Top Word Pairs in Tweet in G7:
[118] president,trump [85] yamiche,president [59] trump,left [59] left,field [59] field,expected [59] expected,president [59] trump,last [59] last,presidential [59] presidential,speech [59] speech,both Top Word Pairs in Tweet in G8:
[45] covid,19 [27] 000,americans [27] americans,died [27] died,covid [27] vaccine,distribution [27] distribution,plan [26] president,biden [26] biden,attending [26] attending,ceremonies [26] ceremonies,today Top Word Pairs in Tweet in G9:
[116] covid,19 [59] positive,covid [57] aislarme,contacto [57] contacto,estrecho [57] estrecho,último [57] último,test [57] test,hicieron [57] hicieron,dio [57] dio,positivo [57] positivo,covid Top Word Pairs in Tweet in G10:
[42] covid,19 [32] nothing,rework [32] rework,going [32] going,build [32] build,everything [32] everything,scratch [23] scratch,gt [23] gt,sources [23] sources,told [23] told,cnn Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G7:
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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 G9:
Top Tweeters in G10: