The graph represents a network of 4,193 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 Thursday, 07 January 2021 at 12:23 UTC.
The requested start date was Thursday, 07 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, 12-hour, 8-minute period from Thursday, 24 December 2020 at 01:43 UTC to Wednesday, 06 January 2021 at 13:51 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 : 4193
Unique Edges : 2794
Edges With Duplicates : 3407
Total Edges : 6201
Number of Edge Types : 5
Tweet : 473
Replies to : 770
Mentions : 1882
Retweet : 1354
MentionsInRetweet : 1722
Self-Loops : 487
Reciprocated Vertex Pair Ratio : 0.00647410358565737
Reciprocated Edge Ratio : 0.0128649183572489
Connected Components : 632
Single-Vertex Connected Components : 199
Maximum Vertices in a Connected Component : 1265
Maximum Edges in a Connected Component : 2190
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.191176
Graph Density : 0.000229958873658934
Modularity : 0.659485
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,193 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 Thursday, 07 January 2021 at 12:23 UTC.
The requested start date was Thursday, 07 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, 12-hour, 8-minute period from Thursday, 24 December 2020 at 01:43 UTC to Wednesday, 06 January 2021 at 13:51 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:
[601] sars,cov [365] currently,evidence [351] 感染性の増加が懸念されるsars,cov [348] evidence,variants [344] before,fauci [344] fauci,freak [344] freak,re [344] re,viral [344] viral,strains [344] strains,currently Top Word Pairs in Tweet in G1:
[344] before,fauci [344] fauci,freak [344] freak,re [344] re,viral [344] viral,strains [344] strains,currently [344] currently,evidence [344] evidence,variants [343] ingrahamangle,before Top Word Pairs in Tweet in G2:
[113] sars,cov [76] cov,2新規変異株について [75] 感染性の増加が懸念されるsars,cov [61] covid,19 [44] scholars,portal [41] 2新規変異株について,第2報 [23] ncov,19 [23] #covid19,#sarscov2 [22] articles,covid [22] portal,périodiques Top Word Pairs in Tweet in G3:
[141] 感染性の増加が懸念されるsars,cov [84] cov,2新規変異株について [64] 2020,12 [48] 新型コロナウイルスsars,cov [48] cov,2のゲノム分子疫学調査 [48] 2のゲノム分子疫学調査,2020年10月26日現在 [46] 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 [46] 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 [46] 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 [45] 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 G4:
[28] sars,cov [21] covid,19 [13] emerging,sars [12] cov,variant [11] implications,emerging [11] variant,voc [11] voc,202012 [11] 202012,01 [11] 01,cdcgov [11] cdcgov,excelente Top Word Pairs in Tweet in G5:
[12] 'next,level [12] level,ignorant' [12] ignorant',tweet [12] tweet,filter [12] filter,picked [12] picked,tweet [12] tweet,win [12] win,biggest [12] biggest,#covidiot [11] #covidiot,day Top Word Pairs in Tweet in G6:
[68] thanks,#opendata [68] #opendata,sharing [68] sharing,gisaid [68] gisaid,we've [68] we've,updated [68] #covid19,#sarscov2 [68] #sarscov2,sequences [62] nextstrain,thanks [23] updated,13629 [23] 13629,#covid19 Top Word Pairs in Tweet in G7:
[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 G8:
[96] nature,fighting [96] fighting,back [96] back,natural [96] natural,degradation [96] degradation,cost [96] cost,dear [96] dear,last [96] last,decades [96] decades,major [96] major,viruses Top Word Pairs in Tweet in G9:
[4] oann,newsmax [4] sars,cov [4] years,concern [4] concern,gmo [4] gmo,genetic [4] genetic,modify [4] modify,foods [4] foods,issue [4] issue,mrna [4] mrna,cdc Top Word Pairs in Tweet in G10:
[7] aka,covid [7] covid,19 [6] sars,cov [5] 19,20 [5] 20,21 [3] south,africa [3] medical,oxygen [3] joys,angel [3] angel,dust [3] dust,same Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G10: