The graph represents a network of 5,884 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 12:32 UTC.
The tweets in the network were tweeted over the 1092-day, 23-hour, 5-minute period from Thursday, 06 February 2020 at 22:46 UTC to Friday, 03 February 2023 at 21:52 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 : 5884
Unique Edges : 3160
Edges With Duplicates : 10996
Total Edges : 14156
Number of Edge Types : 9
Retweet : 3029
MentionsInRetweet : 3549
Quote : 102
MentionsInReplyTo : 4495
Replies to : 1649
Tweet : 911
Mentions : 349
MentionsInQuoteReply : 30
MentionsInQuote : 42
Self-Loops : 1370
Reciprocated Vertex Pair Ratio : 0.038855421686747
Reciprocated Edge Ratio : 0.0748042910988692
Connected Components : 740
Single-Vertex Connected Components : 301
Maximum Vertices in a Connected Component : 3544
Maximum Edges in a Connected Component : 9948
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.589852
Graph Density : 0.000199274476816388
Modularity : 0.47661
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,884 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 12:32 UTC.
The tweets in the network were tweeted over the 1092-day, 23-hour, 5-minute period from Thursday, 06 February 2020 at 22:46 UTC to Friday, 03 February 2023 at 21:52 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:
[2357] 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] code,synthetic [1089] nucleoside,3' [1089] genetic,code [1089] permanent,installation [1089] caps,permanent [1089] foreign,genetic [1089] protein,ubiquitous [1089] 3',5' [1089] synthetic,nucleoside [1089] installation,protein Top Word Pairs in Tweet in G2:
[206] sad,things [206] making,very [206] evidence,piling [206] very,sad [206] piling,making [206] each,stand [206] data,evidence [206] things,each [205] stand,fro [205] jesslovesmjk,data Top Word Pairs in Tweet in G3:
[99] 20,21 [92] 19,20 [63] sars_ncov_2,19 [61] south,africa [59] covid,19 [49] sars,ncov [47] aka,covid [47] corona,virus [30] virus,family [27] gt,gt Top Word Pairs in Tweet in G4:
[269] sars,ncov [45] covid,19 [41] p53,brca [39] s2,subunit [39] protein,p53 [39] subunit,sars [38] interacts,tumor [38] tumor,suppressor [38] ncov,interacts [38] suppressor,protein Top Word Pairs in Tweet in G5:
[202] 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] suppresseurs,tumeurs [125] interagit,fortement [125] s2,protéine [125] spike,sars [125] fortement,gènes [125] tumeurs,p53 [125] gènes,suppresseurs Top Word Pairs in Tweet in G7:
[91] sars,ncov [48] one,two [46] saying,flu [46] ncov,keep [46] dgbassani,same [46] same,sars [46] flu,one [46] keep,saying [45] two,immunod [45] deepwokeagent,dgbassani Top Word Pairs in Tweet in G8:
[112] sars,ncov [8] water,droplet [7] microns,sars [7] 12,microns [7] covid,19 [6] elimd101,esthercrawford [6] natural,immunity [6] esthercrawford,twitterblue [5] immuno,response [5] 05,12 Top Word Pairs in Tweet in G9:
[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 G10:
[103] few,years [103] observe,last [103] last,few [103] saw,many [103] years,saw [101] parveenkaswan,'one [101] 'one,health' [76] many,virus [75] tomorrows,#worldenvironmentday [75] #worldenvironmentday,observe 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 G8:
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: