The graph represents a network of 2,512 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 April 2021 at 10:03 UTC.
The requested start date was Sunday, 18 April 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 12-day, 12-hour, 37-minute period from Sunday, 04 April 2021 at 00:49 UTC to Friday, 16 April 2021 at 13:27 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 : 2512
Unique Edges : 1410
Edges With Duplicates : 3166
Total Edges : 4576
Number of Edge Types : 5
Retweet : 1172
MentionsInRetweet : 1485
Tweet : 386
Replies to : 297
Mentions : 1236
Self-Loops : 405
Reciprocated Vertex Pair Ratio : 0.00594732370433305
Reciprocated Edge Ratio : 0.0118243243243243
Connected Components : 501
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 623
Maximum Edges in a Connected Component : 1338
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.4318
Graph Density : 0.00037541822351082
Modularity : 0.538604
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,512 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 April 2021 at 10:03 UTC.
The requested start date was Sunday, 18 April 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 12-day, 12-hour, 37-minute period from Sunday, 04 April 2021 at 00:49 UTC to Friday, 16 April 2021 at 13:27 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-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:
[1250] sars,cov [237] science,brief [234] fomite,transmission [227] brief,sars [217] cov,surface [201] surface,fomite [193] cov,variants [186] 10,000 [177] driven,more [177] more,contagious Top Word Pairs in Tweet in G1:
[219] sars,cov [178] cov,variants [173] driven,more [173] more,contagious [173] contagious,sars [169] current,increase [169] increase,#covid19 [169] #covid19,cases [169] cases,driven [168] cdcgov,current Top Word Pairs in Tweet in G2:
[207] sars,cov [62] fomite,transmission [55] cov,surface [55] surface,fomite [55] transmission,indoor [55] indoor,community [55] community,environments [52] science,brief [50] brief,sars [44] environments,cdc Top Word Pairs in Tweet in G3:
[99] sars,cov [97] 10,000 [96] cdc,risque [96] risque,d'infection [96] d'infection,par [96] par,sars [96] cov,fomites [96] fomites,faible [96] faible,généralement [96] généralement,inférieur Top Word Pairs in Tweet in G4:
[69] sars,cov [48] science,brief [48] brief,sars [48] cov,surface [48] surface,fomite [31] fomite,transmission [31] transmission,indoor [31] indoor,community [31] community,environments [28] influenzer3,science Top Word Pairs in Tweet in G5:
[46] thanks,#opendata [46] #opendata,sharing [46] sharing,gisaid [46] #covid19,#sarscov2 [37] nextstrain,thanks [33] gisaid,we've [33] we've,updated [33] #sarscov2,sequences [13] gisaid,updated [13] #sarscov2,seqs Top Word Pairs in Tweet in G6:
[11] burgerlab12,numbers_truth [11] numbers_truth,nycweatherrepor [11] nycweatherrepor,double_o_sebun [11] double_o_sebun,carlsmythe [11] mcfunny,angelifrankie [11] _drcjm_,lilelectronblue [11] lilelectronblue,and_nothingelse [11] and_nothingelse,hcornea [11] hcornea,monstatofu [11] monstatofu,houseofgab Top Word Pairs in Tweet in G7:
[67] sars,cov [62] fomite,transmission [45] science,brief [45] brief,sars [45] cov,surface [45] surface,fomite [42] munskydd,är [42] är,långt [42] långt,viktigare [42] viktigare,än Top Word Pairs in Tweet in G8:
[57] powietrze,jest [57] jest,główną [57] główną,droga [57] droga,rozprzestrzeniania [57] rozprzestrzeniania,się [57] się,wirusa [57] wirusa,sars [57] sars,cov [57] cov,jednak [57] jednak,zakażenia Top Word Pairs in Tweet in G9:
[2] bassistold,alawnguy [2] alawnguy,jetson77 [2] jetson77,synyster63 [2] topleveltroll3,sun58valencia [2] sun58valencia,fishngritz21 [2] fishngritz21,gigibuddapdx [2] gigibuddapdx,thumper18560818 [2] thumper18560818,vincegottalotta [2] catlady111310,saline_trick [2] saline_trick,philipemskinne1 Top Word Pairs in Tweet in G10:
[34] sars,cov [28] anti,sars [28] cov,spike [28] spike,protein [28] protein,anti [27] update,anti [26] follow,previous [26] previous,#preprint [26] #preprint,lab [26] lab,nejm Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: