The graph represents a network of 5,011 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 Tuesday, 05 January 2021 at 10:06 UTC.
The requested start date was Sunday, 03 January 2021 at 01:01 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, 23-hour, 15-minute period from Sunday, 20 December 2020 at 01:20 UTC to Sunday, 03 January 2021 at 00:36 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 : 5011
Unique Edges : 2894
Edges With Duplicates : 5030
Total Edges : 7924
Number of Edge Types : 5
Retweet : 2113
MentionsInRetweet : 2570
Tweet : 619
Replies to : 784
Mentions : 1838
Self-Loops : 647
Reciprocated Vertex Pair Ratio : 0.00546792849631966
Reciprocated Edge Ratio : 0.0108763856933696
Connected Components : 787
Single-Vertex Connected Components : 313
Maximum Vertices in a Connected Component : 2023
Maximum Edges in a Connected Component : 3873
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.449336
Graph Density : 0.000190439316935875
Modularity : 0.616705
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,011 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 Tuesday, 05 January 2021 at 10:06 UTC.
The requested start date was Sunday, 03 January 2021 at 01:01 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, 23-hour, 15-minute period from Sunday, 20 December 2020 at 01:20 UTC to Sunday, 03 January 2021 at 00:36 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-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:
[1575] sars,cov [322] genomic,characterisation [321] preliminary,genomic [320] characterisation,emergent [319] variants,significantly [319] significantly,reduce [319] reduce,vaccine [319] vaccine,efficacy [319] efficacy,2021 [319] 2021,rollout Top Word Pairs in Tweet in G1:
[305] concerned,variants [305] variants,significantly [305] significantly,reduce [305] reduce,vaccine [305] vaccine,efficacy [305] efficacy,2021 [305] 2021,rollout [304] trvrb,concerned [304] rollout,circul [20] sars,cov Top Word Pairs in Tweet in G2:
[260] sars,cov [72] ncov,2019 [71] genomic,characterisation [70] preliminary,genomic [70] cov,lineage [70] defined,novel [70] novel,set [70] set,spike [70] 2019,genomic [69] characterisation,emergent Top Word Pairs in Tweet in G3:
[255] wil,men [255] men,nog [255] nog,paar [255] paar,mutaties [255] mutaties,sars [255] sars,cov [255] cov,virus [255] virus,heb [255] heb,nòg [255] nòg,paar Top Word Pairs in Tweet in G4:
[123] 感染性の増加が懸念されるsars,cov [108] 新型コロナウイルスsars,cov [106] cov,2のゲノム分子疫学調査 [106] 2020,12 [94] 2のゲノム分子疫学調査,2020年10月26日現在 [93] 12,11 [85] 速報掲載日,2020 [78] 2020年10月26日現在,速報掲載日 [78] cov,2新規変異株について [47] 11,新型コロナウイルス Top Word Pairs in Tweet in G5:
[195] sars,cov [169] preliminary,genomic [169] genomic,characterisation [169] characterisation,emergent [169] emergent,sars [169] cov,lineage [169] lineage,uk [169] uk,defined [169] defined,novel [169] novel,set Top Word Pairs in Tweet in G6:
[175] spread,sars [175] sars,cov [174] cdc,experimental [174] experimental,epidemiological [174] epidemiological,data [174] data,support [174] support,community [174] community,masking [174] masking,reduce [174] reduce,spread Top Word Pairs in Tweet in G7:
[111] thanks,#opendata [111] #opendata,sharing [111] sharing,gisaid [111] gisaid,we've [111] we've,updated [111] #covid19,#sarscov2 [111] #sarscov2,sequences [105] nextstrain,thanks [24] updated,4534 [24] 4534,#covid19 Top Word Pairs in Tweet in G8:
[4] masks,work [3] sars,ncov [2] covid,19 [2] 19,sars [2] novel,coronavirus [2] cdc,website Top Word Pairs in Tweet in G9:
[6] aka,covid [6] covid,19 [6] years,concern [6] concern,gmo [6] gmo,genetic [6] genetic,modify [6] modify,foods [6] foods,issue [6] issue,mrna [6] mrna,cdc Top Word Pairs in Tweet in G10:
[2] kubej9,slimjimjohn1 [2] slimjimjohn1,kent_nye [2] kent_nye,_kel_varnsen_ [2] _kel_varnsen_,gurleysgrl [2] gurleysgrl,raginxcajun [2] raginxcajun,jencages [2] jencages,cloudzzz757 [2] cloudzzz757,r0xie_f0x [2] r0xie_f0x,hrt6017 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G7:
Top Mentioned in G8:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: