The graph represents a network of 3,537 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, 07 December 2021 at 14:51 UTC.
The requested start date was Tuesday, 07 December 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, 31-minute period from Tuesday, 23 November 2021 at 01:14 UTC to Tuesday, 07 December 2021 at 00:46 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 : 3537
Unique Edges : 2053
Edges With Duplicates : 4915
Total Edges : 6968
Number of Edge Types : 5
Tweet : 396
Mentions : 1283
Replies to : 353
Retweet : 2040
MentionsInRetweet : 2896
Self-Loops : 416
Reciprocated Vertex Pair Ratio : 0.00298284862043251
Reciprocated Edge Ratio : 0.00594795539033457
Connected Components : 437
Single-Vertex Connected Components : 192
Maximum Vertices in a Connected Component : 2005
Maximum Edges in a Connected Component : 4898
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.112992
Graph Density : 0.000322623666808669
Modularity : 0.558772
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,537 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, 07 December 2021 at 14:51 UTC.
The requested start date was Tuesday, 07 December 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, 31-minute period from Tuesday, 23 November 2021 at 01:14 UTC to Tuesday, 07 December 2021 at 00:46 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:
[1945] sars,cov [562] testing,sars [561] cov,2の変異株b [560] timrunshismouth,work [560] work,lab [560] lab,majority [560] majority,labs [560] labs,testing [560] cov,zero [560] zero,capability Top Word Pairs in Tweet in G1:
[565] sars,cov [558] timrunshismouth,work [558] work,lab [558] lab,majority [558] majority,labs [558] labs,testing [558] testing,sars [558] cov,zero [558] zero,capability [558] capability,telling Top Word Pairs in Tweet in G2:
[247] time,lapse [247] genomic,epidemiology [247] epidemiology,sars [247] sars,cov [247] cov,2020 [247] 2020,wuhan [247] wuhan,strain [247] strain,notice [247] notice,omicron [247] omicron,makes Top Word Pairs in Tweet in G3:
[196] sars,cov [100] cov,2の変異株b [55] covid,19 [51] オミクロン株,について [50] 2の変異株b,529系統 [50] について,第２報 [49] 529系統,オミクロン株 [48] scholars,portal [47] 2の変異株b,529系統について [43] 529系統について,第１報 Top Word Pairs in Tweet in G4:
[190] sars,cov [189] cov,2の変異株b [181] 2の変異株b,529系統 [181] 529系統,オミクロン株 [181] オミクロン株,について [181] について,第２報 [179] オミクロン株,の11月28日時点におけるリスク評価 [179] の11月28日時点におけるリスク評価,前半は専門的すぎて難しいですが [179] 前半は専門的すぎて難しいですが,後半の [179] 後半の,評価 Top Word Pairs in Tweet in G5:
[136] long,branch [135] branch,appear [135] appear,artifact [135] artifact,subsampling [135] subsampling,covariants [135] covariants,focal [135] focal,build [135] build,pulls [135] pulls,related [135] related,genomes Top Word Pairs in Tweet in G6:
[141] sars,cov [133] 国立感染症研究所から,ο株についてまとまった報告あり [133] ο株についてまとまった報告あり,興味深いのは香港の話 [133] 興味深いのは香港の話,ab2例とも2回接種後 [133] ab2例とも2回接種後,ホテル隔離中にa [133] ホテル隔離中にa,b感染させた [133] b感染させた,aがマスクせず部屋のドア開けたくらいしか接点なし [133] aがマスクせず部屋のドア開けたくらいしか接点なし,環境から25 [133] 環境から25,87検体陽性 [133] 87検体陽性,sars Top Word Pairs in Tweet in G7:
[157] sars,cov [156] cov,2の変異株b [114] 2の変異株b,529系統 [114] 529系統,オミクロン株 [83] motoisuzuki,sars [63] オミクロン株,について [63] について,第２報 [52] 過去最も多様性があり,感染 [52] 感染,伝播性の増加 [52] 伝播性の増加,既存ワクチン効果の低下 Top Word Pairs in Tweet in G8:
[97] sars,cov [90] 11,30 [90] 30,government [90] government,sars [90] cov,interagency [90] interagency,group [90] group,classifies [90] classifies,#omicronvariant [90] #omicronvariant,variant [90] variant,concern Top Word Pairs in Tweet in G9:
[22] scientific,briefing [20] briefing,cdc [18] little,light [18] light,reading [18] grumpyolddoc,juliahb1 [15] juliahb1,little [15] reading,call [15] call,pointless [15] pointless,pieces [15] pieces,cloth Top Word Pairs in Tweet in G10:
[5] sars,cov [4] infection,fatality [4] fatality,rate [4] rate,ifr [4] ifr,represents [4] represents,proportion [4] proportion,people [4] people,infected [3] covid,19 [3] covid,19's Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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:
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: