The graph represents a network of 4,566 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, 03 January 2021 at 10:05 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 12-day, 12-hour, 17-minute period from Sunday, 20 December 2020 at 01:20 UTC to Friday, 01 January 2021 at 13:38 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 : 4566
Unique Edges : 2583
Edges With Duplicates : 4574
Total Edges : 7157
Number of Edge Types : 5
Retweet : 1930
MentionsInRetweet : 2312
Tweet : 557
Replies to : 700
Mentions : 1658
Self-Loops : 582
Reciprocated Vertex Pair Ratio : 0.00538011695906433
Reciprocated Edge Ratio : 0.0107026523964635
Connected Components : 733
Single-Vertex Connected Components : 297
Maximum Vertices in a Connected Component : 1854
Maximum Edges in a Connected Component : 3538
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.264652
Graph Density : 0.000206200503843111
Modularity : 0.614207
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,566 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, 03 January 2021 at 10:05 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 12-day, 12-hour, 17-minute period from Sunday, 20 December 2020 at 01:20 UTC to Friday, 01 January 2021 at 13:38 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:
[1530] sars,cov [322] genomic,characterisation [321] preliminary,genomic [320] characterisation,emergent [319] lineage,uk [318] variants,significantly [318] significantly,reduce [318] reduce,vaccine [318] vaccine,efficacy [318] efficacy,2021 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 [19] sars,cov Top Word Pairs in Tweet in G2:
[255] 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:
[256] wil,men [256] men,nog [256] nog,paar [256] paar,mutaties [256] mutaties,sars [256] sars,cov [256] cov,virus [256] virus,heb [256] heb,nòg [256] nòg,paar Top Word Pairs in Tweet in G4:
[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 G5:
[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 G6:
[94] 感染性の増加が懸念されるsars,cov [58] 2020,12 [52] 新型コロナウイルスsars,cov [51] cov,2のゲノム分子疫学調査 [50] cov,2新規変異株について [45] 2のゲノム分子疫学調査,2020年10月26日現在 [45] 後者なら現在冬の北半球のさらなる脅威となり,変異がrbd領域に多い事からはその可能性が高いのかもしれません [45] 変異がrbd領域に多い事からはその可能性が高いのかもしれません,日本では症例の1割でウイルスの遺伝子解析が行われていると記載されています [45] 日本では症例の1割でウイルスの遺伝子解析が行われていると記載されています,感染性の増加が懸念されるsars [44] influenzer3,後者なら現在冬の北半球のさらなる脅威となり Top Word Pairs in Tweet in G7:
[89] thanks,#opendata [89] #opendata,sharing [89] sharing,gisaid [89] gisaid,we've [89] we've,updated [89] #covid19,#sarscov2 [89] #sarscov2,sequences [84] nextstrain,thanks [24] updated,4534 [24] 4534,#covid19 Top Word Pairs in Tweet in G8:
[6] years,concern [6] concern,gmo [6] gmo,genetic [6] genetic,modify [6] modify,foods [6] foods,issue [6] issue,mrna [6] mrna,cdc [6] cdc,vaccine [6] vaccine,control Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[4] masks,work [2] sars,ncov 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 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:
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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: