The graph represents a network of 718 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 Monday, 19 September 2022 at 10:00 UTC.
The requested start date was Monday, 19 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 11-day, 9-hour, 34-minute period from Monday, 05 September 2022 at 01:27 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 : 718
Unique Edges : 306
Edges With Duplicates : 1655
Total Edges : 1961
Number of Edge Types : 5
Replies to : 68
Mentions : 188
Tweet : 79
Retweet : 799
MentionsInRetweet : 827
Self-Loops : 83
Reciprocated Vertex Pair Ratio : 0.00158478605388273
Reciprocated Edge Ratio : 0.00316455696202532
Connected Components : 113
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 202
Maximum Edges in a Connected Component : 1271
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.050138
Graph Density : 0.00122764691942207
Modularity : 0.323742
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 718 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 Monday, 19 September 2022 at 10:00 UTC.
The requested start date was Monday, 19 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 11-day, 9-hour, 34-minute period from Monday, 05 September 2022 at 01:27 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:
[641] informe,diario [641] diario,#covid_19 [641] casos,nuevos [641] casos,activos [630] ministeriosalud,informe [522] fallecidos,registrados [319] #covid_19,septiembre [197] nuevos,19 [173] activos,fallecidos [162] nuevos,20 Top Word Pairs in Tweet in G1:
[641] informe,diario [641] diario,#covid_19 [641] casos,nuevos [641] casos,activos [630] ministeriosalud,informe [522] fallecidos,registrados [319] #covid_19,septiembre [197] nuevos,19 [173] 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:
[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 G5:
[26] sars,cov [19] ç,æ [13] æ,ÿæÿ [12] covid,19 [10] ç,ç [9] sars,ncov [9] spike,protein [8] ÿæÿ,ç [8] ncov,associated [8] associated,systemic 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:
[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 Word Pairs in Tweet in G8:
[8] 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 G9:
[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 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: