The graph represents a network of 1,990 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, 26 October 2020 at 09:43 UTC.
The requested start date was Monday, 26 October 2020 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 13-day, 22-hour, 45-minute period from Monday, 12 October 2020 at 01:00 UTC to Sunday, 25 October 2020 at 23:45 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 : 1990
Unique Edges : 1238
Edges With Duplicates : 2174
Total Edges : 3412
Number of Edge Types : 5
Retweet : 972
MentionsInRetweet : 1350
Tweet : 195
Replies to : 266
Mentions : 629
Self-Loops : 210
Reciprocated Vertex Pair Ratio : 0.0104961832061069
Reciprocated Edge Ratio : 0.0207743153918791
Connected Components : 282
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 688
Maximum Edges in a Connected Component : 1442
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.384443
Graph Density : 0.00053510387533444
Modularity : 0.616564
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,990 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, 26 October 2020 at 09:43 UTC.
The requested start date was Monday, 26 October 2020 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 13-day, 22-hour, 45-minute period from Monday, 12 October 2020 at 01:00 UTC to Sunday, 25 October 2020 at 23:45 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:
[623] sars,cov [261] 2019,ncov [192] cdc,reconocen [192] reconocen,actualmente [192] actualmente,dispone [192] dispone,muestra [192] muestra,alguna [192] alguna,sars [192] cov,aislada [187] no__plandemia,cdc Top Word Pairs in Tweet in G1:
[184] cdc,reconocen [184] reconocen,actualmente [184] actualmente,dispone [184] dispone,muestra [184] muestra,alguna [184] alguna,sars [184] sars,cov [184] cov,aislada [183] no__plandemia,cdc Top Word Pairs in Tweet in G2:
[118] recomendaciones,población [118] población,acerca [118] acerca,coronavirus [118] coronavirus,2019 [118] 2019,ncov [118] ncov,organización [118] organización,mundial [118] mundial,salud [117] somos_ejercito,recomendaciones Top Word Pairs in Tweet in G3:
[80] covid,19 [63] sars,cov [52] scholars,portal [27] #covid19,#sarscov2 [26] 2020,10 [26] articles,covid [26] portal,périodiques [26] 19,scholars [26] portal,journals [20] 2019,ncov Top Word Pairs in Tweet in G4:
[96] sars,cov2 [76] skandal,cdc [76] cdc,usa [76] usa,zugegeben [76] zugegeben,gibt [76] gibt,kein [76] kein,isolat [76] isolat,sars [76] cov2,bedeutet [68] bedeutet,gibt Top Word Pairs in Tweet in G5:
[49] salutcat,18 [48] oriolmitja,salutcat [48] 18,dies [48] dies,després [48] després,anterior [48] anterior,ja [48] ja,ho [48] ho,tenim [48] tenim,nou [48] nou,document Top Word Pairs in Tweet in G6:
[22] informe,cdc [22] cdc,explica [22] explica,postura [22] postura,torno [22] torno,tema [22] tema,potencial [22] potencial,evidente [22] evidente,nadie [22] nadie,contra [21] drlejarazu,informe Top Word Pairs in Tweet in G7:
[18] 2019,ncov [13] sars,cov [6] pcr,test [6] present,validated [6] validated,diagnostic [6] diagnostic,workflow [6] workflow,2019 [6] ncov,design [6] design,relying [6] relying,close Top Word Pairs in Tweet in G8:
[12] scientific,brief [12] sars,cov [11] brief,cdcgov [11] cdcgov,well [11] well,documented [11] documented,examples [11] examples,sars [11] cov,being [11] being,transmitted [11] transmitted,over Top Word Pairs in Tweet in G9:
[61] epidemiología,#covid19 [61] #covid19,indica [61] indica,mayoría [61] mayoría,infecciones [61] infecciones,propagan [61] propagan,#contactocercano [61] #contactocercano,transmisión [60] raquelblascor,epidemiología Top Word Pairs in Tweet in G10:
[51] sars,cov [50] cdc,aclaran [50] aclaran,conceptos [50] conceptos,airborne [50] airborne,droplets [50] droplets,aerosol [50] aerosol,epidemiology [50] epidemiology,sars [50] cov,indicates [50] indicates,infections Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: