The graph represents a network of 2,835 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 Friday, 06 August 2021 at 10:01 UTC.
The requested start date was Friday, 06 August 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 11-day, 11-hour, 25-minute period from Friday, 23 July 2021 at 00:14 UTC to Tuesday, 03 August 2021 at 11:40 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 : 2835
Unique Edges : 1727
Edges With Duplicates : 2318
Total Edges : 4045
Number of Edge Types : 5
Retweet : 812
MentionsInRetweet : 937
Replies to : 549
Mentions : 1426
Tweet : 321
Self-Loops : 346
Reciprocated Vertex Pair Ratio : 0.00883534136546185
Reciprocated Edge Ratio : 0.017515923566879
Connected Components : 593
Single-Vertex Connected Components : 156
Maximum Vertices in a Connected Component : 214
Maximum Edges in a Connected Component : 633
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.740716
Graph Density : 0.000312655970148325
Modularity : 0.637621
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,835 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 Friday, 06 August 2021 at 10:01 UTC.
The requested start date was Friday, 06 August 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 11-day, 11-hour, 25-minute period from Friday, 23 July 2021 at 00:14 UTC to Tuesday, 03 August 2021 at 11:40 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:
[948] sars,cov [482] 2019,ncov [420] yani,gt [319] covid,19 [256] ncov,pcr [212] cov,2019 [211] fda,influenza [211] influenza,yani [211] grip,ile [211] ile,covid Top Word Pairs in Tweet in G1:
[416] yani,gt [208] fda,influenza [208] influenza,yani [208] gt,grip [208] grip,ile [208] ile,covid [208] covid,19 [208] 19,yani [208] gt,corona'yı [208] corona'yı,ayırt Top Word Pairs in Tweet in G2:
[150] sars,cov [60] 2019,ncov [34] coronavirus,2019 [33] cdc,2019 [32] novel,coronavirus [31] 2019,novel [31] ncov,time [31] pcr,diagnostic [30] time,pcr [20] diagnostic,panel Top Word Pairs in Tweet in G3:
[13] sars,cov [7] michael63746953,crabb_vicki [7] crabb_vicki,dk25769559 [7] dk25769559,brucefo43322941 [7] brucefo43322941,radiocolor [7] radiocolor,bigbopp75348974 [7] mariomoney23,bayouskeeter [7] redpanda74,littlelishka [7] littlelishka,entrepreneurfg [6] july,2020 Top Word Pairs in Tweet in G4:
[93] sars,cov [85] cov,の新規変異株について [72] 感染,伝播性の増加や抗原性の変化が懸念される新型コロナウイルス [72] 伝播性の増加や抗原性の変化が懸念される新型コロナウイルス,sars [72] の新規変異株について,第10報 [71] influenzer3,感染 [13] 感染,伝播性の増加や抗原性の変化が懸念される [13] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [13] 新型コロナウイルス,sars [13] の新規変異株について,第11報 Top Word Pairs in Tweet in G5:
[19] sars,cov [14] lab,alert [14] alert,changes [14] changes,cdc [14] cdc,pcr [14] pcr,sars [14] cov,testing [13] testing,cdcgov [11] 2019,ncov [9] wider,issue Top Word Pairs in Tweet in G6:
[61] これはpcr検査をもうやらないよ,というわけではない [61] というわけではない,先程のサイトでcdcは他のfdaの承認を受けた検査法 [61] 先程のサイトでcdcは他のfdaの承認を受けた検査法,特にcdcはインフルエンザシーズンに向けてsars [61] 特にcdcはインフルエンザシーズンに向けてsars,cov [61] cov,2とインフルエンザa [61] 2とインフルエンザa,bを同時に検出できるようなリアルタイムrt [60] sukunabikona7,これはpcr検査をもうやらないよ [60] bを同時に検出できるようなリアルタイムrt,pc [2] agstbrwsh,sadodentist [2] sadodentist,yq8pa58lhtbeztk Top Word Pairs in Tweet in G7:
[52] times,first [52] first,dose [29] systemic,side [29] side,effects [28] effects,more [28] more,common [28] common,times [27] sars,cov [26] dose,chadox1 [26] chadox1,ncov Top Word Pairs in Tweet in G8:
[43] transmission,sars [43] sars,cov [43] cov,inhalation [43] inhalation,virus [43] virus,air [43] air,farther [43] farther,six [43] six,feet [43] feet,infectious [43] infectious,source Top Word Pairs in Tweet in G9:
[38] javier,gonzález [38] gonzález,javitouree10 [38] javitouree10,li [38] li,suspés [38] suspés,compte [38] compte,feia [38] feia,poc [38] poc,seguia [38] seguia,fer [38] fer,fil Top Word Pairs in Tweet in G10:
[33] günümü,23 [33] 23,ocak [33] ocak,2020'de [33] 2020'de,yayınladığımız [33] yayınladığımız,zamanki [33] zamanki,adıyla [33] adıyla,2019 [33] 2019,ncov [33] ncov,sars [33] sars,cov Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: