The graph represents a network of 6,003 Twitter users whose recent tweets contained "SARS-COV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 11:55 UTC.
The tweets in the network were tweeted over the 2007-day, 6-hour, 36-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 11 March 2023 at 00:28 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6003
Unique Edges : 4014
Edges With Duplicates : 12216
Total Edges : 16230
Number of Edge Types : 9
Retweet : 3221
MentionsInRetweet : 3963
Quote : 161
Tweet : 706
MentionsInQuote : 94
MentionsInReplyTo : 5566
Replies to : 2101
Mentions : 247
MentionsInQuoteReply : 171
Self-Loops : 1465
Reciprocated Vertex Pair Ratio : 0.0493686868686869
Reciprocated Edge Ratio : 0.0940921670075803
Connected Components : 751
Single-Vertex Connected Components : 217
Maximum Vertices in a Connected Component : 3495
Maximum Edges in a Connected Component : 11190
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.583546
Graph Density : 0.000230668848625782
Modularity : 0.485051
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,003 Twitter users whose recent tweets contained "SARS-COV", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 11:55 UTC.
The tweets in the network were tweeted over the 2007-day, 6-hour, 36-minute period from Sunday, 10 September 2017 at 17:51 UTC to Saturday, 11 March 2023 at 00:28 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[5306] sars,cov [400] cov,infected [396] viral,persistence [389] persistence,inside [387] realcheckmarker,viral [371] inside,sars [368] specific,cd8 [368] epithelium,reservoirs [368] cov,specific [368] reservoirs,cause Top Word Pairs in Tweet in G1:
[1274] sars,cov [346] viral,persistence [339] persistence,inside [337] realcheckmarker,viral [324] cov,infected [323] inside,sars [323] reservoirs,cause [323] exhaustion,sars [323] epithelium,reservoirs [323] specific,cd8 Top Word Pairs in Tweet in G2:
[412] sars,cov [56] creation,sars [54] evidence,creation [34] sars,covs [29] defuse,grant [28] cov,infected [26] human,optimized [25] acknowledging,sars [25] took,longest [25] cherry,picking Top Word Pairs in Tweet in G3:
[244] #sarscov2,#xbb15 [240] sars,cov [238] show,distance [231] both,genetic [231] distance,#sarscov2 [231] question,both [231] #xbb15,same [231] open,question [231] antigenic,data [231] data,show Top Word Pairs in Tweet in G4:
[342] sars,cov [38] cov,sars [34] against,sars [31] covid,19 [28] spike,protein [27] spike,s1 [26] mers,cov [25] cov,vitro [25] cov,pseudovirus [25] s1,igys Top Word Pairs in Tweet in G5:
[158] sars,cov [148] cov,aislado [114] aislado,secuenciado [113] secuenciado,familiar [113] protocolos,oms [113] conocido,mataron [113] mataron,protocolos [113] familiar,conocido [112] oms,lamentabl [112] escorpianodel76,sars Top Word Pairs in Tweet in G6:
[133] sars,cov [91] mers,cov [90] iancopeland5,sars [90] lab,antivaxers [90] hear,regions [90] created,lab [90] cov,created [90] regions,prone [90] cov,mers [90] antivaxers,hear Top Word Pairs in Tweet in G7:
[134] ll,know [134] cov,ll [134] chicken,farms [134] burning,more [134] sars,cov [134] farms,burning [134] know,chicken [134] menthol,sars [134] more,look [134] look,menthol Top Word Pairs in Tweet in G8:
[44] sars,cov [27] jtmayes3,richykirsh [27] frenchg11623069,theroyalrant [27] zeetubesii,wendyorent [25] richykirsh,zeetubesii [23] paramaniac9,goz421 [23] acmeatomicace,giannmi [23] rickeyh64219156,ianb_67 [23] giannmi,saluce65 [23] sasquatch4eva,rickeyh64219156 Top Word Pairs in Tweet in G9:
[74] sars,cov [16] chimeric,virus [15] liz_churchill8,january [15] 2020,wow [15] list,essential [15] essential,medications [15] hydroxychlorinquine,listed [15] wow,hydroxychlorinquine [15] 14,2020 [15] january,14 Top Word Pairs in Tweet in G10:
[112] confermare,nel [112] certe,cose [112] dicevo,confermare [112] giugno,2021 [112] ma,precauzione [112] precauzione,certe [112] lavoravo,ministero [112] 2021,lavoravo [112] ministero,salute [112] salute,ma Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: