The graph represents a network of 5,714 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 Thursday, 26 March 2020 at 08:30 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 7-hour, 52-minute period from Monday, 23 March 2020 at 02:34 UTC to Wednesday, 25 March 2020 at 10:27 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 : 5714
Unique Edges : 6270
Edges With Duplicates : 566
Total Edges : 6836
Number of Edge Types : 4
MentionsInRetweet : 4919
Replies to : 575
Mentions : 727
Tweet : 615
Self-Loops : 615
Reciprocated Vertex Pair Ratio : 0.00317619525242394
Reciprocated Edge Ratio : 0.00633227795367439
Connected Components : 884
Single-Vertex Connected Components : 310
Maximum Vertices in a Connected Component : 1709
Maximum Edges in a Connected Component : 2386
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.227474
Graph Density : 0.000183831176505438
Modularity : 0.840995
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 5,714 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 Thursday, 26 March 2020 at 08:30 UTC.
The requested start date was Thursday, 26 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 7-hour, 52-minute period from Monday, 23 March 2020 at 02:34 UTC to Wednesday, 25 March 2020 at 10:27 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:
[4776] sars,cov [957] re,sars [955] drop,23 [955] 23,mar [955] mar,'20 [955] '20,waiting [955] waiting,seen [955] seen,many [955] many,anons [955] anons,2007 Top Word Pairs in Tweet in G1:
[876] drop,23 [876] 23,mar [876] mar,'20 [876] '20,waiting [876] waiting,seen [876] seen,many [876] many,anons [876] anons,2007 [876] 2007,doc [876] doc,re Top Word Pairs in Tweet in G2:
[663] sars,cov [587] jordan_sather_,report [587] report,sars [587] cov,research [587] research,done [587] done,bats [587] bats,china [587] china,see [587] see,strain [587] strain,bond Top Word Pairs in Tweet in G3:
[503] virus,similares [503] sars,cov [502] año,2007 [502] 2007,presencia [502] presencia,virus [502] similares,sars [502] cov,murciélagos [502] murciélagos,junto [502] junto,cultura [502] cultura,comer Top Word Pairs in Tweet in G4:
[423] sars,cov [61] mers,cov [54] covid,19 [36] respiratory,syndrome [29] cov,sars [25] severe,acute [25] acute,respiratory [24] coronavirus,sars [16] cov,mers [13] cov,covid Top Word Pairs in Tweet in G5:
[102] sars,cov [51] italy,struggles [51] struggles,realdonaldtrump [51] realdonaldtrump,mentions [51] mentions,chloroquine [51] chloroquine,hydroxychloroquine [51] hydroxychloroquine,treatments [51] treatments,sars [50] aranganathan72,italy [45] study,showing Top Word Pairs in Tweet in G6:
[141] turns,chloroquine [141] chloroquine,anti [141] anti,malaria [141] malaria,drug [141] drug,known [141] known,science [141] science,effective [141] effective,agent [141] agent,capable [141] capable,both Top Word Pairs in Tweet in G7:
[138] sars,cov [97] 3c,protease [96] inhibition,sars [96] cov,3c [96] protease,activity [96] activity,theaflavin [96] theaflavin,digallate [96] digallate,tf3 [96] tf3,interesting [95] drjasonfung,inhibition Top Word Pairs in Tweet in G8:
[86] 11,os [86] os,usa [86] usa,já [86] já,estavam [86] estavam,alertas [86] alertas,pesquisas [86] pesquisas,em [86] em,wuhan [86] wuhan,2007 [86] 2007,vejam Top Word Pairs in Tweet in G9:
[83] bomby,lubią [83] lubią,wybuchnąć [83] wybuchnąć,rok [83] rok,2007 [83] 2007,pismo [83] pismo,naukowe [83] naukowe,microbiology [83] microbiology,review [83] review,pisało [83] pisało,obecność Top Word Pairs in Tweet in G10:
[147] sars,cov [63] existing,diagnostic [63] diagnostic,assays [63] assays,sars [63] cov,detect [63] detect,antibodies [63] antibodies,patients [63] patients,diagnosed [63] diagnosed,covid [63] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: