The graph represents a network of 1,510 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 Wednesday, 28 October 2020 at 09:10 UTC.
The requested start date was Wednesday, 28 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, 19-hour, 7-minute period from Wednesday, 14 October 2020 at 03:31 UTC to Tuesday, 27 October 2020 at 22:39 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 : 1510
Unique Edges : 1061
Edges With Duplicates : 1427
Total Edges : 2488
Number of Edge Types : 5
Retweet : 634
MentionsInRetweet : 958
Replies to : 213
Mentions : 497
Tweet : 186
Self-Loops : 196
Reciprocated Vertex Pair Ratio : 0.0102367242482406
Reciprocated Edge Ratio : 0.0202659911336289
Connected Components : 272
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 256
Maximum Edges in a Connected Component : 470
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.874405
Graph Density : 0.000692972408375355
Modularity : 0.639997
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,510 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 Wednesday, 28 October 2020 at 09:10 UTC.
The requested start date was Wednesday, 28 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, 19-hour, 7-minute period from Wednesday, 14 October 2020 at 03:31 UTC to Tuesday, 27 October 2020 at 22:39 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:
[434] sars,cov [160] 2019,ncov [138] covid,19 [94] #covid19,#sarscov2 [83] epidemiology,sars [83] cov,indicates [83] indicates,infections [75] ncov,19 [72] chadox1,ncov [70] detección,precoz Top Word Pairs in Tweet in G1:
[74] covid,19 [69] sars,cov [52] scholars,portal [27] #covid19,#sarscov2 [26] 2020,10 [26] articles,covid [26] portal,périodiques [26] 19,scholars [26] portal,journals [22] 2019,ncov Top Word Pairs in Tweet in G2:
[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 G3:
[66] thanks,#opendata [66] #opendata,sharing [66] sharing,gisaid [66] #covid19,#sarscov2 [58] nextstrain,thanks [46] gisaid,we've [46] we've,updated [44] #sarscov2,sequences [22] #sarscov2,seqs [20] seqs,seqs Top Word Pairs in Tweet in G4:
[55] sars,cov [54] cdc,aclaran [54] aclaran,conceptos [54] conceptos,airborne [54] airborne,droplets [54] droplets,aerosol [54] aerosol,epidemiology [54] epidemiology,sars [54] cov,indicates [54] indicates,infections Top Word Pairs in Tweet in G5:
[61] vacuna,oxford [61] oxford,revela [61] revela,infección [61] infección,chadox1 [61] chadox1,ncov [61] ncov,19 [61] 19,líneas [61] líneas,celulares [61] celulares,humanas [61] humanas,revela Top Word Pairs in Tweet in G6:
[2] ansrmax,ismail1shah [2] ismail1shah,marcust23762392 [2] marcust23762392,shaistasalam1 [2] shaistasalam1,wisermann [2] wisermann,dan90125 [2] dan90125,rasputinish [2] rasputinish,clara_mancia [2] clara_mancia,fredcuy1 [2] sars,cov Top Word Pairs in Tweet in G7:
[11] scientific,brief [11] brief,cdcgov [11] cdcgov,well [11] well,documented [11] documented,examples [11] examples,sars [11] sars,cov [11] cov,being [11] being,transmitted [11] transmitted,over Top Word Pairs in Tweet in G8:
[12] sars,cov [10] navedelmisterio,silvitrianera [8] lord_juli,almu_rmarin [6] almu_rmarin,francis61470479 [6] francis61470479,observatorio14 [6] observatorio14,lolaneuromd [6] lolaneuromd,navedelmisterio [6] cdc,reconocen [6] reconocen,actualmente [6] actualmente,dispone Top Word Pairs in Tweet in G9:
[10] sars,cov [7] 2019,ncov [5] pcr,test [4] quantified,virus [4] virus,isolates [4] isolates,2019 [4] ncov,currently [4] currently,available [4] travellightp1,one [4] one,interested Top Word Pairs in Tweet in G10:
[9] sars,cov [6] sars,2019 [6] 2019,ncov [5] covid,19 [4] samples,sars [4] gatormomm,reuters [4] reuters,know [4] know,cats [4] cats,dogs [4] dogs,few Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: