The graph represents a network of 4,622 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 Thursday, 10 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 : 4622
Unique Edges : 3435
Edges With Duplicates : 2653
Total Edges : 6088
Number of Edge Types : 5
Replies to : 1057
Mentions : 2593
Tweet : 304
Retweet : 905
MentionsInRetweet : 1229
Self-Loops : 317
Reciprocated Vertex Pair Ratio : 0.00618698441796517
Reciprocated Edge Ratio : 0.0122978820314279
Connected Components : 692
Single-Vertex Connected Components : 119
Maximum Vertices in a Connected Component : 1695
Maximum Edges in a Connected Component : 2747
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.260813
Graph Density : 0.000205587889126934
Modularity : 0.71708
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,622 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 Thursday, 10 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:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: