The graph represents a network of 2,955 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 September 2021 at 10:42 UTC.
The requested start date was Saturday, 11 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 11-hour, 0-minute period from Saturday, 28 August 2021 at 00:35 UTC to Tuesday, 07 September 2021 at 11:36 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 2955
Unique Edges : 1991
Edges With Duplicates : 2422
Total Edges : 4413
Number of Edge Types : 5
Retweet : 992
MentionsInRetweet : 1357
Tweet : 454
Replies to : 511
Mentions : 1099
Self-Loops : 483
Reciprocated Vertex Pair Ratio : 0.0112739571589628
Reciprocated Edge Ratio : 0.0222965440356745
Connected Components : 699
Single-Vertex Connected Components : 240
Maximum Vertices in a Connected Component : 212
Maximum Edges in a Connected Component : 595
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.435387
Graph Density : 0.000308280263533229
Modularity : 0.636071
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 2,955 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 11 September 2021 at 10:42 UTC.
The requested start date was Saturday, 11 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 10-day, 11-hour, 0-minute period from Saturday, 28 August 2021 at 00:35 UTC to Tuesday, 07 September 2021 at 11:36 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[1924] sars,cov [232] mers,cov [215] covid,19 [202] cov,sars [187] cov,mers [166] ø,ø [114] î,î [108] hiroshi_tsuji,呼吸器系ウイルスの空気感染を裏付ける確かな証拠がある [108] 呼吸器系ウイルスの空気感染を裏付ける確かな証拠がある,他にライノ [108] 他にライノ,アデノ Top Word Pairs in Tweet in G1:
[364] sars,cov [60] î,î [58] covid,19 [42] mers,cov [33] respiratory,syndrome [32] cov,sars [25] virus,sars [22] virus,corona [21] cov,dan [20] acute,respiratory Top Word Pairs in Tweet in G2:
[223] sars,cov [111] cov,mers [111] mers,cov [111] cov,sars [106] hiroshi_tsuji,呼吸器系ウイルスの空気感染を裏付ける確かな証拠がある [106] 呼吸器系ウイルスの空気感染を裏付ける確かな証拠がある,他にライノ [106] 他にライノ,アデノ [106] アデノ,エンテロ [106] エンテロ,sars [106] cov,2等 Top Word Pairs in Tweet in G3:
[4] sars,cov [2] academicshards,ajl037 [2] ajl037,richykirsh [2] richykirsh,tonybaduy [2] tonybaduy,andrewlazarus4 [2] andrewlazarus4,mcfunny [2] mcfunny,domisa6 [2] domisa6,takethatct [2] takethatct,thc1001 [2] thc1001,cooljamm55 Top Word Pairs in Tweet in G4:
[14] sars,cov [4] pinte,terrasse [4] #passsanitaire,#vaccin [4] #vaccin,#covid_19 [4] #covid_19,#covidiots [4] #covidiots,#antipasssanitaire [4] #antipasssanitaire,#mensonges [4] #mensonges,j'ai [4] cov,donc [3] tous,mes Top Word Pairs in Tweet in G5:
[68] fermi,tutti [68] questa,storia [68] storia,fosse [68] fosse,vera [68] vera,sarebbe [68] sarebbe,sensazionale [68] sensazionale,questo [68] questo,sito [68] sito,evince [68] dal,2005 Top Word Pairs in Tweet in G6:
[25] sars,cov [4] cov,mers [4] mers,cov [3] gaat,over [3] against,sars [3] over,sars [2] met,zich [2] zich,meebrengt [2] ade,met [2] covid,19 Top Word Pairs in Tweet in G7:
[40] wiv1,cov [38] sars,cov [36] ðÿž,âž [36] âž,wiv1 [36] cov,similar [36] similar,sars [36] sars,ready [36] ready,human [36] human,emergency [36] emergency,baric Top Word Pairs in Tweet in G8:
[16] sars,cov [11] researchers,noted [11] noted,previous [11] previous,study [11] study,found [11] found,certain [11] certain,anti [11] anti,spike [11] spike,proteins [11] proteins,covid Top Word Pairs in Tweet in G9:
[36] sars,cov [20] 13orangesbc,billybee9991 [20] billybee9991,sonia_elijah [20] sonia_elijah,smackenziekerr [20] smackenziekerr,sharpiedj [20] sharpiedj,johnboweactor [20] johnboweactor,birdgroupuk [20] birdgroupuk,chrismartenson [18] drakchaurasia,13orangesbc [17] chrismartenson,please Top Word Pairs in Tweet in G10:
[2] 0francisfurter0,shashatheitch22 [2] shashatheitch22,luisafontana [2] luisafontana,bluebobhmueller [2] bluebobhmueller,mikerjohnson777 [2] mikerjohnson777,avestige1 [2] avestige1,tbiadvice [2] tbiadvice,queenmary2970 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: