The graph represents a network of 5,885 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 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 10:22 UTC.
The tweets in the network were tweeted over the 1094-day, 14-hour, 3-minute period from Thursday, 06 February 2020 at 22:46 UTC to Sunday, 05 February 2023 at 12:49 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 : 5885
Unique Edges : 3161
Edges With Duplicates : 11018
Total Edges : 14179
Number of Edge Types : 9
Retweet : 3029
MentionsInRetweet : 3545
Quote : 103
MentionsInReplyTo : 4514
Replies to : 1662
Tweet : 908
Mentions : 345
MentionsInQuoteReply : 30
MentionsInQuote : 43
Self-Loops : 1371
Reciprocated Vertex Pair Ratio : 0.0393072289156626
Reciprocated Edge Ratio : 0.075641211418635
Connected Components : 736
Single-Vertex Connected Components : 297
Maximum Vertices in a Connected Component : 3542
Maximum Edges in a Connected Component : 9942
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.579599
Graph Density : 0.000199293390713812
Modularity : 0.47611
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,885 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 2/7/2023 5:00:35 PM. The network was obtained from Twitter on Wednesday, 08 February 2023 at 10:22 UTC.
The tweets in the network were tweeted over the 1094-day, 14-hour, 3-minute period from Thursday, 06 February 2020 at 22:46 UTC to Sunday, 05 February 2023 at 12:49 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:
[2359] sars,ncov [1134] genetic,code [1134] 5',caps [1134] permanent,installation [1134] nucleoside,3' [1134] foreign,genetic [1134] synthetic,nucleoside [1134] protein,ubiquitous [1134] 3',5' [1134] caps,permanent Top Word Pairs in Tweet in G1:
[1091] synthetic,nucleoside [1091] genetic,code [1091] 3',5' [1091] code,synthetic [1091] nucleoside,3' [1091] permanent,installation [1091] caps,permanent [1091] foreign,genetic [1091] installation,protein [1091] 5',caps Top Word Pairs in Tweet in G2:
[207] sad,things [207] making,very [207] evidence,piling [207] very,sad [207] piling,making [207] each,stand [207] data,evidence [207] things,each [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 [49] sars,ncov [48] aka,covid [47] corona,virus [30] virus,family [27] pommedapie59,itsjillgardner Top Word Pairs in Tweet in G4:
[265] sars,ncov [45] covid,19 [41] p53,brca [39] protein,p53 [39] subunit,sars [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] influenza,orthomyxoviridae [22] conspiracy,theories [15] virus,sars [14] different,virus [12] ncov,19 [11] thedeluxesoyboy,baltinomore2016 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:
[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:
[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:
[97] few,years [97] observe,last [97] last,few [97] saw,many [97] years,saw [95] parveenkaswan,'one [95] 'one,health' [76] many,virus [75] tomorrows,#worldenvironmentday [75] #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 G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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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: