The graph represents a network of 5,832 Twitter users whose recent tweets contained "SARS-NCOV", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 11:09 UTC.
The tweets in the network were tweeted over the 1131-day, 16-hour, 20-minute period from Thursday, 06 February 2020 at 22:46 UTC to Tuesday, 14 March 2023 at 15:06 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 : 5832
Unique Edges : 3133
Edges With Duplicates : 10933
Total Edges : 14066
Number of Edge Types : 9
Retweet : 3029
MentionsInRetweet : 3560
Replies to : 1643
MentionsInReplyTo : 4412
Tweet : 917
Quote : 104
Mentions : 331
MentionsInQuoteReply : 35
MentionsInQuote : 35
Self-Loops : 1374
Reciprocated Vertex Pair Ratio : 0.0398357913942527
Reciprocated Edge Ratio : 0.0766193887995321
Connected Components : 728
Single-Vertex Connected Components : 302
Maximum Vertices in a Connected Component : 3591
Maximum Edges in a Connected Component : 10049
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.599499
Graph Density : 0.000201109250284476
Modularity : 0.475127
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,832 Twitter users whose recent tweets contained "SARS-NCOV", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 11:09 UTC.
The tweets in the network were tweeted over the 1131-day, 16-hour, 20-minute period from Thursday, 06 February 2020 at 22:46 UTC to Tuesday, 14 March 2023 at 15:06 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-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:
[2398] sars,ncov [1128] genetic,code [1128] 5',caps [1128] permanent,installation [1128] nucleoside,3' [1128] foreign,genetic [1128] synthetic,nucleoside [1128] protein,ubiquitous [1128] 3',5' [1128] caps,permanent Top Word Pairs in Tweet in G1:
[1084] code,synthetic [1084] nucleoside,3' [1084] genetic,code [1084] permanent,installation [1084] caps,permanent [1084] foreign,genetic [1084] protein,ubiquitous [1084] 3',5' [1084] synthetic,nucleoside [1084] installation,protein Top Word Pairs in Tweet in G2:
[207] making,very [207] evidence,piling [207] things,each [207] very,sad [207] data,evidence [207] each,stand [207] sad,things [207] piling,making [206] stand,fro [206] jesslovesmjk,data Top Word Pairs in Tweet in G3:
[99] 20,21 [93] 19,20 [63] sars_ncov_2,19 [62] south,africa [60] covid,19 [48] sars,ncov [48] aka,covid [47] corona,virus [30] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[281] sars,ncov [50] suppressor,protein [47] spike,protein [46] s2,subunit [46] subunit,sars [45] tumor,suppressor [43] covid,19 [43] p53,brca [41] silico,study [41] protein,p53 Top Word Pairs in Tweet in G5:
[205] sars,ncov [66] covid,19 [38] 19,sars [24] batshit,conspiracy [23] conspiracy,theories [22] influenza,orthomyxoviridae [16] virus,sars [14] different,virus [12] ncov,19 [11] baltinomore2016,globeandmail Top Word Pairs in Tweet in G6:
[151] sars,ncov [128] unité,s2 [128] ncov,interagit [126] suppresseurs,tumeurs [126] interagit,fortement [126] s2,protéine [126] spike,sars [126] fortement,gènes [126] tumeurs,p53 [126] gènes,suppresseurs Top Word Pairs in Tweet in G7:
[93] sars,ncov [49] one,two [47] same,sars [47] saying,flu [47] keep,saying [47] flu,one [47] dgbassani,same [47] ncov,keep [46] two,immunod [46] deepwokeagent,dgbassani Top Word Pairs in Tweet in G8:
[103] sars,ncov [103] 打つ,罹る [103] ncov,2には [103] プログラム死,アポトーシス [103] し,神経細胞の [103] アポトーシス,を誘導していた [103] 2には,凝集すると強い細胞毒性のあるアミロイドを高速で [103] 凝集すると強い細胞毒性のあるアミロイドを高速で,凝集 [103] 神経を壊すよう,プログラムされている [103] 神経細胞が殺される,打つ Top Word Pairs in Tweet in G9:
[105] sars,ncov [7] microns,sars [7] 12,microns [6] water,droplet [6] elimd101,esthercrawford [6] natural,immunity [6] esthercrawford,twitterblue [5] stevew928,elimd101 [5] contract,sars [5] microns,n99 Top Word Pairs in Tweet in G10:
[7] sars,ncov [3] covid,19 [2] worldmeetjohn,allison86435394 [2] fiski70,david_5705 [2] jestrbob,bucklynn123 [2] swordthechemist,hendog451 [2] allison86435394,avengerclitoris [2] golfergirl2018,repr13 [2] hendog451,flitesurgn [2] veritasever,arbiter04032000 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: