The graph represents a network of 4,627 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, 11 December 2020 at 11:46 UTC.
The requested start date was Tuesday, 08 December 2020 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, 23-hour, 49-minute period from Tuesday, 24 November 2020 at 01:04 UTC to Tuesday, 08 December 2020 at 00:54 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 : 4627
Unique Edges : 3439
Edges With Duplicates : 2656
Total Edges : 6095
Number of Edge Types : 5
Replies to : 1060
Mentions : 2597
Tweet : 304
Retweet : 905
MentionsInRetweet : 1229
Self-Loops : 317
Reciprocated Vertex Pair Ratio : 0.00617990386816205
Reciprocated Edge Ratio : 0.0122838944494995
Connected Components : 692
Single-Vertex Connected Components : 119
Maximum Vertices in a Connected Component : 1700
Maximum Edges in a Connected Component : 2754
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.273994
Graph Density : 0.00020537735472659
Modularity : 0.71707
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,627 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, 11 December 2020 at 11:46 UTC.
The requested start date was Tuesday, 08 December 2020 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, 23-hour, 49-minute period from Tuesday, 24 November 2020 at 01:04 UTC to Tuesday, 08 December 2020 at 00:54 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:
[492] sars,cov [201] covid,19 [172] masks,help [169] masks,effective [165] help,prevent [164] getting,spreading [162] prevent,people [162] people,getting [162] spreading,#covid19 [162] #covid19,masks Top Word Pairs in Tweet in G1:
[159] help,prevent [159] prevent,people [159] people,getting [159] getting,spreading [159] spreading,#covid19 [159] #covid19,masks [157] masks,effective [157] effective,widely [157] widely,used [157] used,community Top Word Pairs in Tweet in G2:
[5] gmo,genetic [5] genetic,modified [5] modified,foods [5] foods,issue [5] issue,mrna [5] mrna,cdc [5] cdc,vaccine [5] cloth,masks [5] sars,cov [4] years,concern Top Word Pairs in Tweet in G3:
[86] sars,cov [30] 2019,ncov [25] covid,19 [17] options,reduce [17] reduce,quarantine [17] quarantine,contacts [17] contacts,persons [16] persons,sars [15] cov,infection [15] infection,using Top Word Pairs in Tweet in G4:
[104] mask,wearing [104] wearing,scientifically [104] scientifically,demonstrated [104] demonstrated,slow [104] slow,spread [104] spread,coronavirus [104] coronavirus,co [104] co,jze5hknblj [104] jze5hknblj,data [103] atrupar,mask Top Word Pairs in Tweet in G5:
[4] drdavidsamadi,joebiden [4] hornedpoet,joebiden [3] joebiden,cdc [3] rvastate,drdavidsamadi [2] 100,effective [2] updated,11 [2] sars,cov [2] indiefilmadvice,lifeofbrian805 [2] lifeofbrian805,joebiden [2] oaktowncogpsy,hornedpoet Top Word Pairs in Tweet in G6:
[5] bmreed1,rexchapman [5] #covid19,#coronavirusupdates [5] asymptomatic,pre [5] pre,symptomatic [5] symptomatic,infected [5] infected,wearers [4] masks,work [4] coach_tj_,bmreed1 [4] govrondesantis,cdc [4] wearers,feel Top Word Pairs in Tweet in G7:
[3] public,mask [3] mask,use [2] saliva,drops Top Word Pairs in Tweet in G8:
[11] sars,cov [6] interim,guidance [6] guidance,antigen [6] antigen,testing [6] testing,sars [6] cov,cdc [5] saskiapopescu,interim [3] 19,20 [3] airborne,transmission [3] iamgoingtosleep,linseymarr Top Word Pairs in Tweet in G9:
[62] #covid19,#sarscov2 [60] thanks,#opendata [60] #opendata,sharing [60] sharing,gisaid [60] gisaid,we've [60] we've,updated [50] nextstrain,thanks [41] #sarscov2,sequences [19] #sarscov2,seqs [14] updated,415 Top Word Pairs in Tweet in G10:
[3] dmhossley,therecount [3] therecount,repsforbiden [3] byu,cdc [3] cdc,ucsf [3] ucsf,nature [2] moore_brandon23,adamschefter [2] cloth,mask [2] huskybags,adamschefter [2] asymptomatic,people [2] cahtaahaht,adamschefter 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 G5:
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: