The graph represents a network of 3,040 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, 19 January 2021 at 11:46 UTC.
The requested start date was Tuesday, 19 January 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, 12-hour, 8-minute period from Tuesday, 05 January 2021 at 01:36 UTC to Monday, 18 January 2021 at 13:44 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 : 3040
Unique Edges : 1591
Edges With Duplicates : 4097
Total Edges : 5688
Number of Edge Types : 5
Tweet : 374
Retweet : 1625
MentionsInRetweet : 2087
Mentions : 1185
Replies to : 417
Self-Loops : 383
Reciprocated Vertex Pair Ratio : 0.00896712055795417
Reciprocated Edge Ratio : 0.0177748518762344
Connected Components : 464
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 1306
Maximum Edges in a Connected Component : 3152
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.658209
Graph Density : 0.000328839126443948
Modularity : 0.527792
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 3,040 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, 19 January 2021 at 11:46 UTC.
The requested start date was Tuesday, 19 January 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, 12-hour, 8-minute period from Tuesday, 05 January 2021 at 01:36 UTC to Monday, 18 January 2021 at 13:44 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:
[1226] sars,cov [598] coronavirus,ncov [563] novel,coronavirus [551] ncov,sars [530] one,year [530] year,ago [530] ago,today [530] today,chinese [530] chinese,scientists [530] scientists,posted Top Word Pairs in Tweet in G1:
[519] novel,coronavirus [517] sars,cov [516] one,year [516] year,ago [516] ago,today [516] today,chinese [516] chinese,scientists [516] scientists,posted [516] posted,first [516] first,sequences Top Word Pairs in Tweet in G2:
[167] nextstrain,clade [166] variant,emerging [166] lineage,described [164] trvrb,variant [107] thanks,#opendata [107] #opendata,sharing [107] sharing,gisaid [107] gisaid,we've [107] we've,updated [107] #covid19,#sarscov2 Top Word Pairs in Tweet in G3:
[161] sars,cov [68] covid,19 [44] scholars,portal [40] ç,æ [27] ncov,19 [25] chadox1,ncov [25] 2019,ncov [23] 2021,01 [22] articles,covid [22] 19,scholars Top Word Pairs in Tweet in G4:
[132] false,disinformation [132] disinformation,properly [132] properly,worn [132] worn,masks [132] masks,depending [132] depending,whether [132] whether,fabric [132] fabric,medical [132] medical,masks [132] masks,cut Top Word Pairs in Tweet in G5:
[149] sars,cov [45] great,published [45] published,guidance [45] guidance,sars [45] cov,sequencing [45] sequencing,analysis [45] analysis,public [45] public,health [45] health,response [45] response,recognises Top Word Pairs in Tweet in G6:
[75] thread,sars [75] sars,ncov [75] ncov,attaaaggtt [75] attaaaggtt,tataccttcc [75] tataccttcc,caggtaacaa [75] caggtaacaa,accaaccaac [75] accaaccaac,tttcgatctc [75] tttcgatctc,ttgtagatct [75] ttgtagatct,61 [75] 61,gttctctaaa Top Word Pairs in Tweet in G7:
[7] sars,cov [7] covid,19 [5] coronavirus,disease [5] disease,2019 [5] 2019,covid [5] 19,cdcgov [4] cov,variants [3] el_lingotazzo,marichu321 [3] marichu321,cdcgov [3] cdcgov,explica Top Word Pairs in Tweet in G8:
[6] sars,cov [4] gunshipdiplomat,lizthefizzywhiz [4] lizthefizzywhiz,edwest [3] scientific,evidence [3] cooljamm55,gunshipdiplomat [3] interim,guidance [3] large,randomized [3] randomized,community [3] community,based [3] based,trial Top Word Pairs in Tweet in G9:
[19] once,again [19] again,1st [19] 1st,dec [19] dec,2020 [19] 2020,œat [19] œat,present [19] present,limited [19] limited,inconsistent [18] covidsensebloke,once [18] inconsistent,sciâ Top Word Pairs in Tweet in G10:
[7] jarkkohelenius,takenincontext [7] takenincontext,nypost [6] nypost,ok [6] ok,here's [6] here's,45 [6] 45,studies [6] studies,same [6] same,agency [6] agency,otherwise [6] otherwise,one Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
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: