The graph represents a network of 4,496 Twitter users whose recent tweets contained "#ACC20 OR #WCCardio OR #ACC2020", 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 Tuesday, 31 March 2020 at 06:48 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 21-minute period from Monday, 23 March 2020 at 17:04 UTC to Tuesday, 31 March 2020 at 06:25 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 : 4496
Unique Edges : 17250
Edges With Duplicates : 13031
Total Edges : 30281
Self-Loops : 1519
Reciprocated Vertex Pair Ratio : 0.0528152748550018
Reciprocated Edge Ratio : 0.10033151326053
Connected Components : 141
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 4257
Maximum Edges in a Connected Component : 30000
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.228445
Graph Density : 0.00101496720357534
Modularity : 0.359103
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 4,496 Twitter users whose recent tweets contained "#ACC20 OR #WCCardio OR #ACC2020", 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 Tuesday, 31 March 2020 at 06:48 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 21-minute period from Monday, 23 March 2020 at 17:04 UTC to Tuesday, 31 March 2020 at 06:25 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 OR #ACC2020
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:
[5214] #acc20,#wccardio [660] #wccardio,virtual [412] heart,failure [357] low,risk [330] voyager,pad [320] late,breaking [309] #wccardio,accintouch [298] virtual,#acc20 [284] accintouch,#acc20 [279] clinical,research Top Word Pairs in Tweet in G1:
[1394] #acc20,#wccardio [183] voyager,pad [157] #wccardio,virtual [114] p,0 [108] cause,mortality [102] high,risk [97] cv,death [96] accintouch,worldheartfed [95] tailor,pci [94] 2,5 Top Word Pairs in Tweet in G2:
[724] #acc20,#wccardio [205] #wccardio,virtual [131] 90,days [117] low,risk [111] clinical,research [108] virtual,experience [102] virtual,#acc20 [100] accintouch,#acc2020 [85] death,stroke [83] schedule,now Top Word Pairs in Tweet in G3:
[1994] #acc20,#wccardio [185] #wccardio,virtual [185] #wccardio,accintouch [166] accintouch,accmediacenter [133] accintouch,#acc20 [123] p,0 [108] late,breaking [99] akates1,pamelabmorris [98] check,out [98] cv,death Top Word Pairs in Tweet in G4:
[633] #acc20,#wccardio [228] venous,thromboembolism [189] randomized,trial [169] cancer,#acc20 [166] original,article [142] apixaban,noninferior [123] weight,heparin [123] patients,cancer [120] trial,oral [120] oral,apixaban Top Word Pairs in Tweet in G5:
[114] important,know [114] know,symptoms [114] symptoms,#heartfailure [114] #heartfailure,#acc20 [78] heart,failure [70] failure,#acc20 [51] re,committed [51] committed,advancing [51] advancing,research [51] research,#cardiovasculardisease Top Word Pairs in Tweet in G6:
[66] #acc20,#wccardio [23] presented,#acc20 [22] #wccardio,virtual [19] #acc20,join [18] following,#acc20 [18] join,free [18] free,virtual [18] virtual,#hfupdate20 [18] #hfupdate20,apr [18] apr,17 Top Word Pairs in Tweet in G7:
[22] #acc20,#wccardio [6] virtual,#acc20 [5] #acc20,# [4] late,breaking [4] #acc20,#acc2020 [4] american,college [4] college,cardiology [4] heart,failure [4] 8,4 [3] acc,20 Top Word Pairs in Tweet in G8:
[78] #acc20,#wccardio [13] low,risk [11] clinical,research [11] atriumhealth,#sangerheart [10] featured,clinical [10] interesting,abstract [10] abstract,colleagues [10] colleagues,childrensla [10] childrensla,fontan [10] fontan,associated Top Word Pairs in Tweet in G9:
[35] thread,ace [35] ace,2 [35] 2,expression [35] expression,human [35] human,heart [35] heart,indicates [35] indicates,new [35] new,potential [35] potential,mechanism [35] mechanism,heart Top Word Pairs in Tweet in G10:
[21] know,world [21] world,primary [21] primary,focus [21] focus,covid [21] covid,pandemic [21] pandemic,entirely [21] entirely,right [21] right,#acc2020 [21] forgive,run [21] run,thread 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 G6:
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 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: