The graph represents a network of 5,894 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 12:32 UTC.
The tweets in the network were tweeted over the 1099-day, 21-hour, 15-minute period from Thursday, 06 February 2020 at 22:46 UTC to Friday, 10 February 2023 at 20:01 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 : 5894
Unique Edges : 3168
Edges With Duplicates : 11038
Total Edges : 14206
Number of Edge Types : 9
Retweet : 3028
MentionsInRetweet : 3544
Replies to : 1668
MentionsInReplyTo : 4535
Tweet : 909
Quote : 103
MentionsInQuoteReply : 30
Mentions : 346
MentionsInQuote : 43
Self-Loops : 1371
Reciprocated Vertex Pair Ratio : 0.0395250976856026
Reciprocated Edge Ratio : 0.0760445279745554
Connected Components : 734
Single-Vertex Connected Components : 299
Maximum Vertices in a Connected Component : 3554
Maximum Edges in a Connected Component : 9981
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.593227
Graph Density : 0.000199145823629641
Modularity : 0.476044
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,894 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 2/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 February 2023 at 12:32 UTC.
The tweets in the network were tweeted over the 1099-day, 21-hour, 15-minute period from Thursday, 06 February 2020 at 22:46 UTC to Friday, 10 February 2023 at 20:01 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:
[2358] sars,ncov [1132] genetic,code [1132] 5',caps [1132] permanent,installation [1132] nucleoside,3' [1132] foreign,genetic [1132] synthetic,nucleoside [1132] protein,ubiquitous [1132] 3',5' [1132] caps,permanent Top Word Pairs in Tweet in G1:
[1089] synthetic,nucleoside [1089] genetic,code [1089] 3',5' [1089] code,synthetic [1089] nucleoside,3' [1089] permanent,installation [1089] caps,permanent [1089] foreign,genetic [1089] installation,protein [1089] 5',caps Top Word Pairs in Tweet in G2:
[209] making,very [209] evidence,piling [209] things,each [209] very,sad [209] data,evidence [209] each,stand [209] sad,things [209] piling,making [208] stand,fro [208] 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 [50] sars,ncov [48] aka,covid [47] corona,virus [30] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[270] sars,ncov [46] covid,19 [41] p53,brca [39] subunit,sars [39] protein,p53 [39] s2,subunit [38] suppressor,protein [38] tumor,suppressor [38] ncov,interacts [38] interacts,tumor Top Word Pairs in Tweet in G5:
[203] sars,ncov [67] covid,19 [38] 19,sars [23] batshit,conspiracy [22] conspiracy,theories [22] influenza,orthomyxoviridae [15] virus,sars [14] different,virus [12] ncov,19 [11] baltinomore2016,globeandmail Top Word Pairs in Tweet in G6:
[149] sars,ncov [127] unité,s2 [127] ncov,interagit [125] s2,protéine [125] protéine,spike [125] gènes,suppresseurs [125] interagit,fortement [125] suppresseurs,tumeurs [125] spike,sars [125] tumeurs,p53 Top Word Pairs in Tweet in G7:
[93] sars,ncov [48] one,two [46] same,sars [46] saying,flu [46] keep,saying [46] flu,one [46] dgbassani,same [46] ncov,keep [45] two,immunod [45] deepwokeagent,dgbassani Top Word Pairs in Tweet in G8:
[103] アポトーシス,を誘導していた [103] ncov,2には [103] nature,新たな発見 [103] プログラム死,アポトーシス [103] sars,ncov [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] 打つ,罹る [103] 凝集,し [103] 神経を壊すよう,プログラムされている [103] 新たな発見,sars Top Word Pairs in Tweet in G9:
[107] sars,ncov [8] water,droplet [7] microns,sars [7] 12,microns [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:
[100] few,years [100] observe,last [100] last,few [100] saw,many [100] years,saw [98] parveenkaswan,'one [98] 'one,health' [77] many,virus [76] tomorrows,#worldenvironmentday [76] #worldenvironmentday,observe Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G4:
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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:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: