The graph represents a network of 752 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, 18 September 2022 at 10:15 UTC.
The requested start date was Sunday, 18 September 2022 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, 9-hour, 29-minute period from Sunday, 04 September 2022 at 01:33 UTC to Friday, 16 September 2022 at 11:02 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 : 752
Unique Edges : 329
Edges With Duplicates : 1678
Total Edges : 2007
Number of Edge Types : 5
Replies to : 74
Mentions : 199
Tweet : 92
Retweet : 807
MentionsInRetweet : 835
Self-Loops : 96
Reciprocated Vertex Pair Ratio : 0.00152439024390244
Reciprocated Edge Ratio : 0.0030441400304414
Connected Components : 123
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 206
Maximum Edges in a Connected Component : 1280
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.137694
Graph Density : 0.00116334249369635
Modularity : 0.330413
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 752 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, 18 September 2022 at 10:15 UTC.
The requested start date was Sunday, 18 September 2022 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, 9-hour, 29-minute period from Sunday, 04 September 2022 at 01:33 UTC to Friday, 16 September 2022 at 11:02 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:
[646] informe,diario [646] diario,#covid_19 [646] casos,nuevos [646] casos,activos [630] ministeriosalud,informe [527] fallecidos,registrados [324] #covid_19,septiembre [197] nuevos,19 [173] activos,fallecidos [162] nuevos,20 Top Word Pairs in Tweet in G1:
[638] informe,diario [638] diario,#covid_19 [638] casos,nuevos [638] casos,activos [627] ministeriosalud,informe [519] fallecidos,registrados [318] #covid_19,septiembre [196] nuevos,19 [172] activos,fallecidos [162] nuevos,20 Top Word Pairs in Tweet in G2:
[106] ç,æ [106] æ,ÿæÿ [106] šã,æ [53] ÿæÿ,ç [53] ç,ˆã [53] ˆã,šã [53] ÿæÿ,ム[53] ãƒ,æ [53] æ,æ [53] æ,åš Top Word Pairs in Tweet in G4:
[27] sars,cov [19] ç,æ [16] sars,ncov [16] covid,19 [13] æ,ÿæÿ [10] ç,ç [9] spike,protein [8] ncov,spike [8] ÿæÿ,ç [8] ncov,associated Top Word Pairs in Tweet in G5:
[47] open,data [47] data,resources [47] resources,nextstrain [47] nextstrain,resource [47] resource,lets [47] lets,track [46] tryangregory,open [46] track,evolutio Top Word Pairs in Tweet in G6:
[15] update,japan [15] japan,cases [15] cases,different [15] different,flights [15] flights,arrived [15] arrived,different [15] different,dates [15] dates,epidemiological [14] mildanalyst,update [13] epidemiological,liâ Top Word Pairs in Tweet in G7:
[9] sars,cov [7] oms,12 [7] 12,09 [7] 09,22 [7] 22,sigue [7] sigue,siendo [7] siendo,fundamental [7] fundamental,quedarse [7] quedarse,casa [7] casa,síntomas Top Word Pairs in Tweet in G8:
[5] public,health [4] sars,cov [3] beth_something,torontomet [3] torontomet,public [3] health,published [3] published,feature [3] feature,covid19 [3] covid19,hvac [3] hvac,systems [3] systems,buildings Top Word Pairs in Tweet in G9:
[2] hatoyamayukio,ozawa_jimusho [2] ozawa_jimusho,tassotakuya [2] tassotakuya,akisumitomo [2] akisumitomo,ichikazeroka [2] ichikazeroka,shiikazuo [2] shiikazuo,cdp2017 [2] cdp2017,edanoyukio0531 [2] edanoyukio0531,dpfpnews [2] æ,åž [2] åž,ムTop Replied-To in Entire Graph:
Top Replied-To in G3:
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:
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: