The graph represents a network of 861 Twitter users whose recent tweets contained "#ACC20 OR #WCCardio until:2020-03-28", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 28 March 2020 at 00:08 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 48-minute period from Friday, 20 March 2020 at 10:07 UTC to Friday, 27 March 2020 at 23:55 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 : 861
Unique Edges : 1869
Edges With Duplicates : 516
Total Edges : 2385
Self-Loops : 149
Reciprocated Vertex Pair Ratio : 0.033177812337999
Reciprocated Edge Ratio : 0.0642247867536377
Connected Components : 48
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 703
Maximum Edges in a Connected Component : 2206
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.031958
Graph Density : 0.00269157010506982
Modularity : 0.521319
NodeXL Version : 1.0.1.428
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=223880
Data Import : The graph represents a network of 861 Twitter users whose recent tweets contained "#ACC20 OR #WCCardio until:2020-03-28", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 28 March 2020 at 00:08 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 48-minute period from Friday, 20 March 2020 at 10:07 UTC to Friday, 27 March 2020 at 23:55 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 : TwitterSearch
Graph Term : #ACC20 OR #WCCardio until:2020-03-28
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[669] #acc20,#wccardio [239] #wccardio,virtual [186] 90,days [165] virtual,experience [147] schedule,now [138] 3,days [137] science,learning [134] offer,3 [130] experience,offer [130] days,free Top Word Pairs in Tweet in G1:
[257] #acc20,#wccardio [170] 90,days [166] #wccardio,virtual [144] schedule,now [143] virtual,experience [132] science,learning [129] experience,offer [129] offer,3 [129] 3,days [129] days,free Top Word Pairs in Tweet in G2:
[72] #acc20,#wccardio [20] looking,forward [20] akates1,pamelabmorris [18] erinmichos,avolgman [18] avolgman,virani_md [17] #lbct,fcr [17] session,saturday [17] hadleywilsonmd,skathire [17] skathire,sandylewis [16] march,28 Top Word Pairs in Tweet in G3:
[93] #acc20,#wccardio [19] #wccardio,study [18] new,#acc20 [15] study,shows [14] virtual,#acc20 [13] according,new [12] meta,analysis [12] virtual,event [12] new,study [11] covid,19 Top Word Pairs in Tweet in G4:
[63] #acc20,#wccardio [20] #accfit,#accearlycareer [20] accmediacenter,cardiology [20] #wccardio,virtual [19] #virtual,#acc20 [19] accintouch,accmediacenter [18] excited,#thrilled [18] #thrilled,#accfit [18] #accearlycareer,#pathtwitter [18] #pathtwitter,#virtual Top Word Pairs in Tweet in G5:
[38] #acc20,#wccardio [9] accintouch,#acc20 [8] non,#covid19 [8] #covid19,msg [8] msg,very [8] very,much [8] much,looking [8] looking,fwd [8] fwd,virtual [8] virtual,accintouch Top Word Pairs in Tweet in G6:
[7] #acc20,#wccardio [6] #acc20,# [4] #wccardio,virtual [4] virtual,#acc20 [3] march,28 [2] 28,30 [2] good,news [2] featured,clinical [2] clinical,research [2] keynotes,more Top Word Pairs in Tweet in G7:
[22] #acc20,#wccardio [9] worthwhile,endeavor [9] endeavor,thank [9] thank,team [9] team,letting [9] letting,part [9] part,new [9] new,#acccvt [9] #acccvt,#nursepractitioner [9] #nursepractitioner,#physicianassistant Top Word Pairs in Tweet in G8:
[42] #acc20,#wccardio [20] acc,20 [13] #wccardio,virtual [10] dcri,acc [9] march,28 [9] join,live [9] live,tomorrow [9] tomorrow,acc [9] 20,wcc [9] wcc,virtual Top Word Pairs in Tweet in G9:
[21] 70,000 [21] cardiovascular,events [19] #acc20,#wccardio [15] learn,more [14] analysis,predicts [14] predicts,#vascepa [14] #vascepa,prevent [14] prevent,tens [14] tens,thousands [14] thousands,cardiovascular Top Word Pairs in Tweet in G10:
[14] heart,failure [14] failure,#acc20 [14] important,know [14] know,symptoms [14] symptoms,#heartfailure [14] #heartfailure,#acc20 [11] re,committed [11] committed,advancing [11] advancing,research [11] research,#cardiovasculardisease Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 G7:
Top Mentioned in G8:
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: