The graph represents a network of 2,896 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, 20 October 2020 at 12:06 UTC.
The requested start date was Tuesday, 20 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, 21-hour, 35-minute period from Tuesday, 06 October 2020 at 00:04 UTC to Monday, 19 October 2020 at 21:39 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 : 2896
Unique Edges : 1853
Edges With Duplicates : 2926
Total Edges : 4779
Number of Edge Types : 5
Retweet : 1319
MentionsInRetweet : 1850
Tweet : 263
Replies to : 404
Mentions : 943
Self-Loops : 281
Reciprocated Vertex Pair Ratio : 0.00962815405046481
Reciprocated Edge Ratio : 0.0190726734626767
Connected Components : 418
Single-Vertex Connected Components : 125
Maximum Vertices in a Connected Component : 834
Maximum Edges in a Connected Component : 1618
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.565273
Graph Density : 0.000362718155707593
Modularity : 0.634621
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,896 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, 20 October 2020 at 12:06 UTC.
The requested start date was Tuesday, 20 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, 21-hour, 35-minute period from Tuesday, 06 October 2020 at 00:04 UTC to Monday, 19 October 2020 at 21:39 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:
[753] sars,cov [372] airborne,transmission [264] 2019,ncov [252] æ,ÿæÿ [208] covid,19 [192] cdc,reconocen [192] reconocen,actualmente [192] actualmente,dispone [192] dispone,muestra [192] muestra,alguna Top Word Pairs in Tweet in G1:
[131] airborne,transmission [100] sars,cov [89] brief,sars [89] cov,potential [89] potential,airborne [88] scientific,brief [86] really,love [86] love,cdcgov [86] cdcgov,scientific [86] transmission,discusses Top Word Pairs in Tweet in G2:
[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 G3:
[101] sars,cov2 [82] kein,isolat [82] isolat,sars [81] cdc,usa [80] usa,zugegeben [80] gibt,kein [80] cov2,bedeutet [79] skandal,cdc [79] zugegeben,gibt [72] bedeutet,gibt Top Word Pairs in Tweet in G4:
[19] 2019,ncov [10] 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:
[67] sars,cov [38] covid,19 [25] airborne,transmission [19] ãƒ,ム[16] 2019,ncov [12] cov,potential [12] potential,airborne [12] scientific,brief [11] brief,sars [10] sars,ncov Top Word Pairs in Tweet in G6:
[115] recomendaciones,población [115] población,acerca [115] acerca,coronavirus [115] coronavirus,2019 [115] 2019,ncov [115] ncov,organización [115] organización,mundial [115] mundial,salud [114] somos_ejercito,recomendaciones Top Word Pairs in Tweet in G7:
[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 G8:
[63] epidemiología,#covid19 [63] #covid19,indica [63] indica,mayoría [63] mayoría,infecciones [63] infecciones,propagan [63] propagan,#contactocercano [63] #contactocercano,transmisión [62] raquelblascor,epidemiología Top Word Pairs in Tweet in G9:
[63] words,cdc [63] cdc,airborne [63] airborne,transmission [63] transmission,occurs [63] occurs,enclosed [63] enclosed,spaces [63] spaces,prolonged [63] prolonged,exposure [62] playstrumpcard,words [62] exposure,respiâ Top Word Pairs in Tweet in G10:
[10] navedelmisterio,silvitrianera [9] sars,cov [8] lord_juli,almu_rmarin [7] monaguilloc,noalnom2 [6] almu_rmarin,francis61470479 [6] francis61470479,observatorio14 [6] observatorio14,lolaneuromd [6] lolaneuromd,navedelmisterio [5] cdc,reconocen [5] reconocen,actualmente Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: