The graph represents a network of 3,577 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 January 2021 at 10:03 UTC.
The requested start date was Sunday, 17 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 12-day, 12-hour, 26-minute period from Sunday, 03 January 2021 at 01:15 UTC to Friday, 15 January 2021 at 13:42 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 : 3577
Unique Edges : 1741
Edges With Duplicates : 4463
Total Edges : 6204
Number of Edge Types : 5
Retweet : 1950
MentionsInRetweet : 2362
Tweet : 364
Replies to : 442
Mentions : 1086
Self-Loops : 372
Reciprocated Vertex Pair Ratio : 0.00570613409415121
Reciprocated Edge Ratio : 0.0113475177304965
Connected Components : 481
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 1267
Maximum Edges in a Connected Component : 2962
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.339824
Graph Density : 0.000275576811583326
Modularity : 0.563109
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 3,577 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 January 2021 at 10:03 UTC.
The requested start date was Sunday, 17 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 12-day, 12-hour, 26-minute period from Sunday, 03 January 2021 at 01:15 UTC to Friday, 15 January 2021 at 13:42 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-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:
[1150] sars,cov [564] coronavirus,ncov [535] ncov,sars [526] novel,coronavirus [516] one,year [516] year,ago [516] ago,today [516] today,chinese [516] chinese,scientists [516] scientists,posted Top Word Pairs in Tweet in G1:
[509] novel,coronavirus [507] sars,cov [506] one,year [506] year,ago [506] ago,today [506] today,chinese [506] chinese,scientists [506] scientists,posted [506] posted,first [506] first,sequences Top Word Pairs in Tweet in G2:
[409] before,fauci [409] fauci,freak [409] freak,re [409] re,viral [409] viral,strains [409] evidence,variants [408] ingrahamangle,before [361] strains,œcurrently [361] œcurrently,evidence [360] variants,câ Top Word Pairs in Tweet in G3:
[137] nextstrain,clade [136] variant,emerging [136] lineage,described [134] trvrb,variant [124] thanks,#opendata [124] #opendata,sharing [124] sharing,gisaid [124] gisaid,we've [124] we've,updated [124] #covid19,#sarscov2 Top Word Pairs in Tweet in G4:
[170] sars,cov [60] covid,19 [50] ç,æ [36] scholars,portal [26] ncov,19 [24] æ,ÿæÿ [24] chadox1,ncov [23] 2019,ncov [22] ç,ç [20] 2021,01 Top Word Pairs in Tweet in G5:
[131] false,disinformation [131] disinformation,properly [131] properly,worn [131] worn,masks [131] masks,depending [131] depending,whether [131] whether,fabric [131] fabric,medical [131] medical,masks [131] masks,cut Top Word Pairs in Tweet in G6:
[122] sars,cov [44] great,published [44] published,guidance [44] guidance,sars [44] cov,sequencing [44] sequencing,analysis [44] analysis,public [44] public,health [44] health,response [44] response,recognises Top Word Pairs in Tweet in G7:
[74] thread,sars [74] sars,ncov [74] ncov,attaaaggtt [74] attaaaggtt,tataccttcc [74] tataccttcc,caggtaacaa [74] caggtaacaa,accaaccaac [74] accaaccaac,tttcgatctc [74] tttcgatctc,ttgtagatct [74] ttgtagatct,61 [74] 61,gttctctaaa Top Word Pairs in Tweet in G8:
[10] sars,cov [9] covid,19 [6] coronavirus,disease [6] disease,2019 [6] 2019,covid [6] 19,cdcgov [4] cov,variants [3] el_lingotazzo,marichu321 [3] marichu321,cdcgov [3] cdcgov,explica Top Word Pairs in Tweet in G9:
[11] 20,21 [9] sars_ncov_2,aka [9] aka,covid [9] covid,19 [8] 19,20 [4] realdonaldtrump,potus [3] 21,pommedapie59 [3] pommedapie59,crimemind3 [3] crimemind3,sandidakar [3] theodjager,paratus2014 Top Word Pairs in Tweet in G10:
[4] quinazagga,sambraslow [3] cloth,masks [2] rebekahfaidia,kahnutsen [2] kahnutsen,cs806 [2] cs806,justalieutell [2] justalieutell,burgerfacemcta1 [2] burgerfacemcta1,sambraslow [2] sambraslow,wearing [2] wearing,mask [2] mask,literally Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 G4:
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: