The graph represents a network of 3,552 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 November 2021 at 11:39 UTC.
The requested start date was Saturday, 20 November 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, 11-hour, 12-minute period from Saturday, 06 November 2021 at 01:13 UTC to Friday, 19 November 2021 at 12:26 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 : 3552
Unique Edges : 1915
Edges With Duplicates : 3672
Total Edges : 5587
Number of Edge Types : 5
Tweet : 403
Replies to : 590
Mentions : 1505
Retweet : 1395
MentionsInRetweet : 1694
Self-Loops : 429
Reciprocated Vertex Pair Ratio : 0.00941676792223572
Reciprocated Edge Ratio : 0.0186578393018357
Connected Components : 602
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 963
Maximum Edges in a Connected Component : 2274
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.683614
Graph Density : 0.000263455161723255
Modularity : 0.601541
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,552 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 20 November 2021 at 11:39 UTC.
The requested start date was Saturday, 20 November 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, 11-hour, 12-minute period from Saturday, 06 November 2021 at 01:13 UTC to Friday, 19 November 2021 at 12:26 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-COV
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:
[2415] sars,cov [177] met,ifr [173] cov,met [173] ifr,15 [172] vraag,waarom [172] waarom,normaal [172] normaal,verkoudheids [172] verkoudheids,griepvirus [172] griepvirus,sars [172] 15,vele Top Word Pairs in Tweet in G1:
[128] sars,cov [80] study,2017 [80] 2017,2021 [80] 2021,344 [80] 344,locations [80] locations,natural [80] natural,habitats [80] habitats,artificial [80] artificial,breeding [80] breeding,sites Top Word Pairs in Tweet in G2:
[180] sars,cov [176] met,ifr [173] cov,met [173] ifr,15 [172] vraag,waarom [172] waarom,normaal [172] normaal,verkoudheids [172] verkoudheids,griepvirus [172] griepvirus,sars [172] 15,vele Top Word Pairs in Tweet in G3:
[300] sars,cov [32] η,εξέλιξη [32] εξέλιξη,των [32] των,νέων [32] νέων,μολύνσεων [32] μολύνσεων,sars [32] cov,πανελλαδικά [32] πανελλαδικά,με [32] με,μια [32] μια,ματιά Top Word Pairs in Tweet in G4:
[6] sars,cov [3] andrewlazarus4,andylumm [3] andylumm,fd2you [3] fd2you,kath2cats [3] kath2cats,tony__heller [3] tony__heller,kathmarval [3] kathmarval,ogilville1 [3] ogilville1,provaxtexan [3] provaxtexan,jimeeliberty [3] jimeeliberty,doom37455413 Top Word Pairs in Tweet in G5:
[254] sars,cov [127] lessons,past [127] past,intentionally [127] intentionally,suppressed [127] suppressed,pre [127] pre,sars [127] cov,knowledge [127] knowledge,ace2 [127] ace2,functions [127] functions,sars Top Word Pairs in Tweet in G6:
[134] sars,cov [102] probiotyki,bezpośrednio [102] bezpośrednio,przeciwdziałają [102] przeciwdziałają,sars [102] cov,przewodzie [102] przewodzie,pokarmowym [102] pokarmowym,drogach [102] drogach,oddechowych [102] oddechowych,stosowanie [102] stosowanie,probiotyków Top Word Pairs in Tweet in G7:
[5] sars,cov [2] 12,deadliest [2] deadliest,#viruses [2] #viruses,marburg [2] marburg,virus [2] virus,1967 [2] 1967,ebola [2] ebola,virus [2] virus,1976 [2] 1976,rabies Top Word Pairs in Tweet in G8:
[45] sars,cov [24] rianimatrice,sars [4] 17,years [4] natural,immunity [3] immunity,sars [3] people,sars [2] non,volontà [2] volontà,essere [2] essere,curati [2] curati,caso Top Word Pairs in Tweet in G9:
[37] combatir,entrada [37] entrada,spike [37] spike,quercitina [37] quercitina,algunos [37] algunos,estudios [37] estudios,demuestran [37] demuestran,flavonoide [37] flavonoide,usa [37] usa,agente [36] martinasisters,combatir Top Word Pairs in Tweet in G10:
[66] ウイルスの分離は感染させる細胞によって大きく異なります,sars [66] sars,cov [66] cov,2に使う細胞はサルの腎臓から得たvero細胞です [66] 2に使う細胞はサルの腎臓から得たvero細胞です,ウイルスの複製を妨害するinfを作らないので増やすのに適してます [65] hanakihideaki,ウイルスの分離は感染させる細胞によって大きく異なります [65] ウイルスの複製を妨害するinfを作らないので増やすのに適してます,ヒト肺細胞calu3の複製は数百分の1まで下がりま Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: