The graph represents a network of 3,843 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 Monday, 30 March 2020 at 06:52 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 7-minute period from Sunday, 22 March 2020 at 16:29 UTC to Monday, 30 March 2020 at 06:37 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 : 3843
Unique Edges : 14210
Edges With Duplicates : 9984
Total Edges : 24194
Self-Loops : 1190
Reciprocated Vertex Pair Ratio : 0.0528692380056444
Reciprocated Edge Ratio : 0.100428877769836
Connected Components : 135
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 3616
Maximum Edges in a Connected Component : 23925
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.176086
Graph Density : 0.00113702814652627
Modularity : 0.370345
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 3,843 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 Monday, 30 March 2020 at 06:52 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 7-minute period from Sunday, 22 March 2020 at 16:29 UTC to Monday, 30 March 2020 at 06:37 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:
[4197] #acc20,#wccardio [599] #wccardio,virtual [361] heart,failure [324] low,risk [304] voyager,pad [284] late,breaking [248] accintouch,#acc20 [246] venous,thromboembolism [246] p,0 [240] 90,days Top Word Pairs in Tweet in G1:
[782] #acc20,#wccardio [199] venous,thromboembolism [156] randomized,trial [147] cancer,#acc20 [142] original,article [130] heart,failure [126] apixaban,noninferior [110] medical,therapy [108] patients,cancer [107] weight,heparin Top Word Pairs in Tweet in G2:
[931] #acc20,#wccardio [232] #wccardio,virtual [154] 90,days [118] virtual,experience [117] schedule,now [106] science,learning [103] experience,offer [103] offer,3 [103] 3,days [103] days,free Top Word Pairs in Tweet in G3:
[1420] #acc20,#wccardio [140] #wccardio,virtual [130] #wccardio,accintouch [115] accintouch,#acc20 [113] p,0 [101] accintouch,accmediacenter [95] akates1,pamelabmorris [88] cv,death [87] check,out [81] #virtual,#acc20 Top Word Pairs in Tweet in G4:
[545] #acc20,#wccardio [134] low,risk [134] voyager,pad [85] 1,2 [80] p,0 [80] accintouch,#acc2020 [75] death,stroke [71] valve,thrombosis [67] 2,5 [62] 5,mg Top Word Pairs in Tweet in G5:
[90] important,know [90] know,symptoms [90] symptoms,#heartfailure [90] #heartfailure,#acc20 [57] heart,failure [57] failure,#acc20 [45] re,committed [45] committed,advancing [45] advancing,research [45] research,#cardiovasculardisease Top Word Pairs in Tweet in G6:
[113] #acc20,#wccardio [16] clinical,research [15] low,risk [15] atriumhealth,#sangerheart [15] featured,clinical [13] interesting,abstract [13] abstract,colleagues [13] colleagues,childrensla [13] childrensla,fontan [13] fontan,associated Top Word Pairs in Tweet in G7:
[28] #acc20,#wccardio [8] #acc20,# [7] virtual,#acc20 [5] late,breaking [5] #wccardio,virtual [5] heart,failure [4] march,28 [4] breaking,clinical [4] #acc20,#acc2020 [4] american,college Top Word Pairs in Tweet in G8:
[20] great,team [19] #acc20,#wccardio [18] acc,20 [15] case,#acc2020 [14] important,case [14] #acc2020,typical [14] typical,#echofirst [14] #echofirst,#whycmr [14] #whycmr,infiltrative [14] infiltrative,pattern Top Word Pairs in Tweet in G9:
[160] #acc20,#wccardio [66] #wccardio,virtual [24] https,t [24] t,co [23] day,1 [22] opening,showcase [19] featured,clinical [19] clinical,research [19] accintouch,worldheartfed [18] sliwa1karen,#acc20 Top Word Pairs in Tweet in G10:
[41] #acc20,#wccardio [24] learn,more [19] 70,000 [19] cardiovascular,events [17] #hearthealth,#cvd [15] #wccardio,virtual [13] virtual,#acc20 [12] analysis,predicts [12] predicts,#vascepa [12] #vascepa,prevent 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 G6:
Top Replied-To in G8:
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: