The graph represents a network of 2,433 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 Saturday, 10 April 2021 at 11:14 UTC.
The requested start date was Saturday, 10 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 13-day, 13-hour, 6-minute period from Saturday, 27 March 2021 at 00:31 UTC to Friday, 09 April 2021 at 13:37 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 : 2433
Unique Edges : 1393
Edges With Duplicates : 2649
Total Edges : 4042
Number of Edge Types : 5
Tweet : 383
Mentions : 1171
Retweet : 1006
MentionsInRetweet : 1181
Replies to : 301
Self-Loops : 406
Reciprocated Vertex Pair Ratio : 0.00364630811303555
Reciprocated Edge Ratio : 0.0072661217075386
Connected Components : 488
Single-Vertex Connected Components : 185
Maximum Vertices in a Connected Component : 371
Maximum Edges in a Connected Component : 996
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.079646
Graph Density : 0.000372144525926407
Modularity : 0.569647
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,433 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 Saturday, 10 April 2021 at 11:14 UTC.
The requested start date was Saturday, 10 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 13-day, 13-hour, 6-minute period from Saturday, 27 March 2021 at 00:31 UTC to Friday, 09 April 2021 at 13:37 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:
[1030] sars,cov [157] fomite,transmission [145] 10,000 [144] cov,surface [144] ncov,19 [143] science,brief [140] covid,19 [135] surface,fomite [135] chadox1,ncov [128] brief,sars Top Word Pairs in Tweet in G1:
[187] sars,cov [46] chadox1,ncov [46] ncov,19 [43] fomite,transmission [39] science,brief [39] cov,surface [39] surface,fomite [39] transmission,indoor [39] indoor,community [39] community,environments Top Word Pairs in Tweet in G2:
[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 G3:
[8] and_nothingelse,hcornea [8] hcornea,monstatofu [8] monstatofu,houseofgab [8] chrisjohnsonmd,lysandergrant [8] awithonelison,_mamadeb [8] kayvonpaul,stopvaxxedlies [8] stopvaxxedlies,beckyjohnson222 [8] beckyjohnson222,death_is_final [8] death_is_final,macbaird13 [8] macbaird13,100dianne Top Word Pairs in Tweet in G4:
[28] sars,cov [10] people,infected [9] principal,mode [9] mode,people [9] infected,sars [9] person,learning [9] learning,schools [9] schools,associated [9] associated,substantial [9] substantial,community Top Word Pairs in Tweet in G5:
[47] sars,cov [34] ワクチン本当に日本でもイスラエルと同様の効果が期待できるのだろうか,このe484k単独でワクチンは無効化されないが [34] このe484k単独でワクチンは無効化されないが,少なからず効果が減弱する可能性が指摘 [34] 少なからず効果が減弱する可能性が指摘,新型コロナウイルスsars [34] 新型コロナウイルスsars,cov [34] cov,spikeタンパク質 [34] spikeタンパク質,e484k変異を有するb [33] uwemon,ワクチン本当に日本でもイスラエルと同様の効果が期待できるのだろうか [22] 感染,伝播性の増加や抗原性の変化が懸念される [22] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス Top Word Pairs in Tweet in G6:
[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 G7:
[51] thanks,#opendata [51] #opendata,sharing [51] sharing,gisaid [51] #covid19,#sarscov2 [46] gisaid,we've [46] we've,updated [44] nextstrain,thanks [35] #sarscov2,sequences [16] #sarscov2,seqs [10] updated,11073 Top Word Pairs in Tweet in G8:
[55] powietrze,jest [55] jest,główną [55] główną,droga [55] droga,rozprzestrzeniania [55] rozprzestrzeniania,się [55] się,wirusa [55] wirusa,sars [55] sars,cov [55] cov,jednak [55] 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:
[2] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: