The graph represents a network of 1,516 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 Saturday, 29 May 2021 at 11:14 UTC.
The requested start date was Saturday, 29 May 2021 at 00:01 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, 16-hour, 29-minute period from Saturday, 15 May 2021 at 18:04 UTC to Friday, 28 May 2021 at 10:33 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 : 1516
Unique Edges : 968
Edges With Duplicates : 1350
Total Edges : 2318
Number of Edge Types : 5
Retweet : 527
MentionsInRetweet : 741
Tweet : 190
Replies to : 240
Mentions : 620
Self-Loops : 195
Reciprocated Vertex Pair Ratio : 0.00854092526690392
Reciprocated Edge Ratio : 0.0169371912491179
Connected Components : 301
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 217
Maximum Edges in a Connected Component : 564
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.687834
Graph Density : 0.000616961432290986
Modularity : 0.620791
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,516 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 Saturday, 29 May 2021 at 11:14 UTC.
The requested start date was Saturday, 29 May 2021 at 00:01 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, 16-hour, 29-minute period from Saturday, 15 May 2021 at 18:04 UTC to Friday, 28 May 2021 at 10:33 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:
[451] sars,cov [140] covid,19 [128] cov,lineages [127] lineages,recently [127] recently,classified [127] classified,variants [127] variants,interest [127] interest,investigations [127] investigations,underway [127] underway,determine Top Word Pairs in Tweet in G1:
[133] sars,cov [127] cov,lineages [127] lineages,recently [127] recently,classified [127] classified,variants [127] variants,interest [127] interest,investigations [127] investigations,underway [127] underway,determine [125] cdcgov,sars Top Word Pairs in Tweet in G2:
[75] sars,cov [57] covid,19 [40] scholars,portal [26] #covid19,#covid [26] #corona,#coronavirus [26] #coronavirus,#virus [26] #virus,#novel [26] #novel,#ncov [22] 2021,05 [20] articles,covid Top Word Pairs in Tweet in G3:
[4] sars,cov [3] sars,ncov [3] cdc,scientific [3] scientific,brief [3] brief,sars [3] cov,transmission [3] transmission,top [3] top,list [3] list,modes [3] modes,transmission Top Word Pairs in Tweet in G4:
[80] thanks,#opendata [80] #opendata,sharing [80] sharing,gisaid [80] gisaid,we've [80] we've,updated [80] #covid19,#sarscov2 [80] #sarscov2,sequences [70] nextstrain,thanks [13] updated,12646 [13] 12646,#covid19 Top Word Pairs in Tweet in G6:
[36] 美國,cdc [36] cdc,已於 [36] 已於,2021 [36] 2021,將武肺傳播方式增列氣溶膠傳播 [36] 將武肺傳播方式增列氣溶膠傳播,aerosol [36] aerosol,transmission [36] transmission,你需要知道的是 [36] 你需要知道的是,不論室內室外 [36] 不論室內室外,有無冷氣 [36] 有無冷氣,只要有人在附近 Top Word Pairs in Tweet in G7:
[26] インド中心にひろがっている変異系統については国立感染症研究所のこの第二報がわかりやすい,しかしまだ [26] しかしまだ,変異 [26] 変異,株 [26] 株,使っとるな [26] 使っとるな,sars [26] sars,cov [26] cov,2の変異株b [26] 2の変異株b,617系統について [26] 617系統について,第２報 [26] 第２報,co Top Word Pairs in Tweet in G8:
[39] conclusions,vaccination [39] vaccination,against [39] against,sars [39] sars,cov [39] cov,remains [39] remains,critical [39] critical,control [39] control,covid [39] covid,19 [39] 19,pandemic Top Word Pairs in Tweet in G9:
[24] lawrencesellin,ann95657173 [24] ann95657173,cover [24] cover,confirms [24] confirms,monkey [24] monkey,a3 [24] a3,lab [24] lab,carrying [24] carrying,sars [24] sars,tried [24] tried,open Top Word Pairs in Tweet in G10:
[3] trob_actor,jacquelinegault [3] jacquelinegault,potus [2] dylanleidig,trob_actor [2] science,states Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: