The graph represents a network of 3,421 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, 16 October 2020 at 09:39 UTC.
The requested start date was Friday, 16 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, 20-hour, 1-minute period from Friday, 02 October 2020 at 01:03 UTC to Thursday, 15 October 2020 at 21:04 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 : 3421
Unique Edges : 1850
Edges With Duplicates : 4046
Total Edges : 5896
Number of Edge Types : 5
Replies to : 405
Tweet : 286
Retweet : 1875
MentionsInRetweet : 2390
Mentions : 940
Self-Loops : 305
Reciprocated Vertex Pair Ratio : 0.00733013814491119
Reciprocated Edge Ratio : 0.0145535964175763
Connected Components : 417
Single-Vertex Connected Components : 126
Maximum Vertices in a Connected Component : 1528
Maximum Edges in a Connected Component : 3113
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.091827
Graph Density : 0.000305389313681749
Modularity : 0.595248
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,421 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, 16 October 2020 at 09:39 UTC.
The requested start date was Friday, 16 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, 20-hour, 1-minute period from Friday, 02 October 2020 at 01:03 UTC to Thursday, 15 October 2020 at 21:04 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:
[1404] sars,cov [549] confirmed,sars [548] movement,patient [548] patient,suspected [548] suspected,confirmed [507] cdc,guidelines [498] guidelines,œ [496] transport,movement [495] œ,transport [493] trump,drive Top Word Pairs in Tweet in G1:
[484] trump,drive [484] drive,flouts [484] flouts,cdc [484] cdc,guidelines [484] guidelines,œ [484] œ,transport [484] transport,movement [484] movement,patient [484] patient,suspected [484] suspected,confirmed Top Word Pairs in Tweet in G2:
[179] sars,cov [165] airborne,transmission [105] covid,19 [104] scientific,brief [103] potential,airborne [89] brief,sars [89] cov,potential [86] really,love [86] love,cdcgov [86] cdcgov,scientific Top Word Pairs in Tweet in G3:
[181] cdc,reconocen [181] reconocen,actualmente [181] actualmente,dispone [181] dispone,muestra [181] muestra,alguna [181] alguna,sars [181] sars,cov [181] cov,aislada [180] no__plandemia,cdc Top Word Pairs in Tweet in G4:
[20] 2019,ncov [9] sars,cov [7] furin,cleavage [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 G5:
[68] sars,cov [45] covid,19 [27] airborne,transmission [19] ãƒ,ム[18] sars,ncov [14] 2019,ncov [12] scientific,brief [12] cov,potential [12] potential,airborne [11] brief,sars Top Word Pairs in Tweet in G6:
[107] recomendaciones,población [107] población,acerca [107] acerca,coronavirus [107] coronavirus,2019 [107] 2019,ncov [107] ncov,organización [107] organización,mundial [107] mundial,salud [106] somos_ejercito,recomendaciones Top Word Pairs in Tweet in G7:
[77] sars,cov2 [58] kein,isolat [58] isolat,sars [57] cdc,usa [56] usa,zugegeben [56] gibt,kein [56] cov2,bedeutet [55] skandal,cdc [55] zugegeben,gibt [48] bedeutet,gibt Top Word Pairs in Tweet in G8:
[15] sars,cov [13] sars,ncov [8] cov,infection [8] cdc,guidelines [8] guidelines,œ [5] covid,19 [5] œ,transport [5] transport,movement [5] movement,patient [5] patient,suspected Top Word Pairs in Tweet in G9:
[12] few,examples [12] examples,scientists [12] scientists,communicating [12] communicating,science [12] science,policy [12] policy,makers [12] makers,public [12] public,big [12] big,results [11] alinouriphd,few Top Word Pairs in Tweet in G10:
[62] epidemiología,#covid19 [62] #covid19,indica [62] indica,mayoría [62] mayoría,infecciones [62] infecciones,propagan [62] propagan,#contactocercano [62] #contactocercano,transmisión [61] raquelblascor,epidemiología Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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: