The graph represents a network of 9,424 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 08:54 UTC.
The requested start date was Monday, 10 August 2020 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 11-day, 22-hour, 14-minute period from Wednesday, 29 July 2020 at 01:42 UTC to Sunday, 09 August 2020 at 23:56 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 : 9424
Unique Edges : 4212
Edges With Duplicates : 12784
Total Edges : 16996
Number of Edge Types : 5
Retweet : 5859
MentionsInRetweet : 6808
Tweet : 541
Replies to : 1135
Mentions : 2653
Self-Loops : 595
Reciprocated Vertex Pair Ratio : 0.00634952630518041
Reciprocated Edge Ratio : 0.0126189283925889
Connected Components : 821
Single-Vertex Connected Components : 246
Maximum Vertices in a Connected Component : 5897
Maximum Edges in a Connected Component : 12108
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.546452
Graph Density : 0.000112440715534201
Modularity : 0.552517
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,424 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 August 2020 at 08:54 UTC.
The requested start date was Monday, 10 August 2020 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 11-day, 22-hour, 14-minute period from Wednesday, 29 July 2020 at 01:42 UTC to Sunday, 09 August 2020 at 23:56 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 : SARS-COV
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:
[5316] sars,cov [2992] dr,fauci [2943] years,ago [2924] ago,dr [2861] fifteen,years [2854] censorship,typically [2854] typically,preceded [2854] preceded,disinformation [2854] disinformation,campaign [2854] campaign,underway Top Word Pairs in Tweet in G1:
[2796] censorship,typically [2796] typically,preceded [2796] preceded,disinformation [2796] disinformation,campaign [2796] campaign,underway [2796] years,ago [2795] drsimonegold,censorship [2795] underway,fifteen [2795] fifteen,years [2795] ago,dr Top Word Pairs in Tweet in G2:
[425] sars,cov [167] pcr,sars [167] cov,negativo [167] negativo,bom [167] bom,dia [166] jairbolsonaro,pcr [41] cov,sars [34] covid,19 [30] vitro,studies [30] studies,shown Top Word Pairs in Tweet in G3:
[1074] sars,cov [1068] virus,sars [534] pasada,estudio [534] estudio,virus [534] cov,virus [534] cov,separaron [527] 200,virus [526] pmarsupia,pasada [526] separaron,genéticamente [526] genéticamente,hacia Top Word Pairs in Tweet in G4:
[659] sars,cov [326] both,chloroquine [326] chloroquine,derivative [326] derivative,molecule [326] molecule,hydroxychloroquine [326] hydroxychloroquine,vitro [326] vitro,activity [326] activity,against [326] against,sars [325] nejm,both Top Word Pairs in Tweet in G5:
[285] idea,whether [285] whether,banned [285] banned,science [285] science,particular [285] particular,strain [285] strain,cv [285] cv,seems [285] seems,pretty [285] pretty,well [285] well,settled Top Word Pairs in Tweet in G6:
[334] î,î [317] sars,cov [34] covid,19 [31] î,ïƒî [27] ø,ù [27] î,îµî [26] îµî,î [25] mers,cov [25] ù,ø [25] î,îµï Top Word Pairs in Tweet in G7:
[35] nih,2004 [35] 2004,chloroquine [35] chloroquine,old [35] old,antimalarial [35] antimalarial,drug [35] drug,considered [32] proud_libtard,utobian [32] utobian,one [32] one,2004 [32] 2004,nih Top Word Pairs in Tweet in G8:
[101] sars,cov [16] sars,cov2 [14] covid,19 [12] cov,sars [9] against,sars [8] cov,infection [6] literally,existing [6] existing,medical [6] medical,publications [6] publications,demonstrating Top Word Pairs in Tweet in G9:
[9] sars,cov [4] mers,cov [4] cov,sars [3] paprikalady,tqmka [3] tqmka,bananenrijperij [3] bananenrijperij,truepat89736316 [3] truepat89736316,oscarswild1 [3] oscarswild1,bridgetholmstro [3] covid,strains [3] 229e,alpha Top Word Pairs in Tweet in G10:
[4] sars,cov [2] truth_pilot,vickie627 [2] vickie627,madurosmustache [2] madurosmustache,leeroq3 [2] leeroq3,gpoopon [2] gpoopon,lor_blueeyes [2] lor_blueeyes,neodjt [2] neodjt,chrisg409ubc [2] chrisg409ubc,aleeyun_nvaazun [2] aleeyun_nvaazun,swbhfx Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G8:
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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 G3:
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Top Tweeters in G9:
Top Tweeters in G10: