The graph represents a network of 4,496 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, 17 December 2020 at 12:22 UTC.
The requested start date was Thursday, 17 December 2020 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, 10-minute period from Thursday, 03 December 2020 at 01:09 UTC to Wednesday, 16 December 2020 at 13:19 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 : 4496
Unique Edges : 3230
Edges With Duplicates : 2786
Total Edges : 6016
Number of Edge Types : 5
Retweet : 1078
MentionsInRetweet : 1436
Replies to : 914
Mentions : 2106
Tweet : 482
Self-Loops : 491
Reciprocated Vertex Pair Ratio : 0.00342801175318315
Reciprocated Edge Ratio : 0.00683260126891166
Connected Components : 838
Single-Vertex Connected Components : 283
Maximum Vertices in a Connected Component : 1217
Maximum Edges in a Connected Component : 2087
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.24122
Graph Density : 0.000202775721541135
Modularity : 0.696916
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,496 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, 17 December 2020 at 12:22 UTC.
The requested start date was Thursday, 17 December 2020 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, 10-minute period from Thursday, 03 December 2020 at 01:09 UTC to Wednesday, 16 December 2020 at 13:19 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:
[788] sars,cov [375] chadox1,ncov [365] ncov,19 [350] safety,efficacy [347] efficacy,chadox1 [338] 19,vaccine [337] against,sars [319] vaccine,azd1222 [317] azd1222,against [291] cov,interim Top Word Pairs in Tweet in G1:
[253] sars,cov [160] ncov,19 [159] chadox1,ncov [153] 19,vaccine [153] against,sars [148] randomised,controlled [148] safety,efficacy [148] efficacy,chadox1 [148] interim,analysis [146] vaccine,azd1222 Top Word Pairs in Tweet in G2:
[110] masks,help [110] help,prevent [110] prevent,people [110] people,getting [110] getting,spreading [110] spreading,#covid19 [110] #covid19,masks [110] masks,effective [110] effective,widely [110] widely,used Top Word Pairs in Tweet in G3:
[5] michael33102236,realdonaldtrump [5] sars,cov [3] win,biggest [3] biggest,#covidiot [3] #covidiot,day [3] day,well [3] well,done [3] done,prize [3] prize,50 [3] 50,hours Top Word Pairs in Tweet in G4:
[4] sars,cov [4] drdavidsamadi,joebiden [3] amuse,joebiden [3] 100,effective [3] joebiden,go [3] 45,references [3] references,bottom [2] transition46,joebiden [2] 12,microns [2] nikegb7,joebiden Top Word Pairs in Tweet in G5:
[124] 新型コロナウイルスsars,cov [124] cov,2のゲノム分子疫学調査 [120] 感染研からゲノム解析の続報,陽性検体からも約1 [120] 陽性検体からも約1,1万のゲノム情報を確定 [120] 1万のゲノム情報を確定,第二波の7月以降から10月末まで [120] 第二波の7月以降から10月末まで,全て3月中旬以降ヨーロッパから流入した2系統に由来するものが占める [120] 全て3月中旬以降ヨーロッパから流入した2系統に由来するものが占める,新型コロナウイルスsars [119] kenmomd,感染研からゲノム解析の続報 [119] 2のゲノム分子疫学調査,2020年1 [29] airborne,infectionがあり得ることは既にcdcが指摘しており Top Word Pairs in Tweet in G6:
[107] mask,wearing [107] wearing,scientifically [107] scientifically,demonstrated [107] demonstrated,slow [107] slow,spread [107] spread,coronavirus [107] coronavirus,co [107] co,jze5hknblj [107] jze5hknblj,data [106] atrupar,mask Top Word Pairs in Tweet in G7:
[68] #covid19,#sarscov2 [66] thanks,#opendata [66] #opendata,sharing [66] sharing,gisaid [66] gisaid,we've [66] we've,updated [61] #sarscov2,sequences [55] nextstrain,thanks [12] updated,4362 [12] 4362,#covid19 Top Word Pairs in Tweet in G9:
[58] sars,cov [53] ncov,19 [52] against,sars [51] chadox1,ncov [50] 19,vaccine [50] azd1222,against [50] safety,efficacy [49] efficacy,chadox1 [49] cov,interim [48] vaccine,azd1222 Top Word Pairs in Tweet in G10:
[8] gmo,genetic [8] genetic,modified [8] modified,foods [8] foods,issue [8] issue,mrna [8] mrna,cdc [8] cdc,vaccine [7] years,concern [7] concern,gmo [7] vaccine,control Top Replied-To in Entire Graph:
Top Replied-To in G2:
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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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: