The graph represents a network of 2,832 Twitter users whose recent tweets contained "#ACC20 OR #ACC2020 OR #WCCardio", 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 Sunday, 29 March 2020 at 09:55 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 31-minute period from Saturday, 21 March 2020 at 19:44 UTC to Sunday, 29 March 2020 at 09:15 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 : 2832
Unique Edges : 9300
Edges With Duplicates : 5711
Total Edges : 15011
Self-Loops : 725
Reciprocated Vertex Pair Ratio : 0.0498162120332753
Reciprocated Edge Ratio : 0.0949046346632268
Connected Components : 129
Single-Vertex Connected Components : 98
Maximum Vertices in a Connected Component : 2605
Maximum Edges in a Connected Component : 14740
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.258007
Graph Density : 0.0013536820951252
Modularity : 0.383576
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 2,832 Twitter users whose recent tweets contained "#ACC20 OR #ACC2020 OR #WCCardio", 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 Sunday, 29 March 2020 at 09:55 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 31-minute period from Saturday, 21 March 2020 at 19:44 UTC to Sunday, 29 March 2020 at 09:15 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 #ACC2020 OR #WCCardio
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:
[2650] #acc20,#wccardio [500] #wccardio,virtual [290] heart,failure [248] 90,days [244] virtual,experience [242] late,breaking [240] voyager,pad [200] tailor,pci [192] clinical,research [191] virtual,#acc20 Top Word Pairs in Tweet in G1:
[954] #acc20,#wccardio [116] voyager,pad [100] p,0 [91] akates1,pamelabmorris [87] #wccardio,virtual [87] cv,death [81] #wccardio,accintouch [81] late,breaking [71] tailor,pci [69] accintouch,#acc20 Top Word Pairs in Tweet in G2:
[544] #acc20,#wccardio [224] #wccardio,virtual [182] 90,days [146] schedule,now [142] virtual,experience [135] science,learning [132] experience,offer [132] offer,3 [132] 3,days [132] days,free Top Word Pairs in Tweet in G3:
[619] #acc20,#wccardio [111] heart,failure [95] medical,therapy [88] peripheral,artery [88] artery,disease [87] #wccardio,virtual [82] victoria,trial [78] guanylate,cyclase [76] cyclase,stimulator [75] soluble,guanylate Top Word Pairs in Tweet in G4:
[123] #acc20,#wccardio [30] accintouch,#acc20 [25] check,out [23] #wccardio,virtual [21] meta,analysis [20] #accfit,#accearlycareer [19] virtual,#acc20 [17] join,scrippshealth [17] scrippshealth,innovation [17] innovation,research Top Word Pairs in Tweet in G5:
[108] #acc20,#wccardio [31] virtual,#acc20 [27] clinical,research [25] find,out [25] out,more [24] accintouch,accmediacenter [24] research,session [24] session,featuring [24] featuring,miguelvldrbno [24] miguelvldrbno,details Top Word Pairs in Tweet in G6:
[33] #acc20,#wccardio [18] important,case [18] case,#acc2020 [18] #acc2020,typical [18] typical,#echofirst [18] #echofirst,#whycmr [18] #whycmr,infiltrative [18] infiltrative,pattern [18] pattern,negative [18] negative,#pyp Top Word Pairs in Tweet in G7:
[27] #acc20,#wccardio [17] acc,2020 [12] late,breaking [12] #cardioed,#meded [12] cardiogenic,shock [11] tailor,pci [11] study,#acc20 [10] wanted,recognize [10] recognize,colleagues [10] colleagues,friends Top Word Pairs in Tweet in G8:
[23] #acc20,#wccardio [7] #acc20,# [7] virtual,#acc20 [6] #wccardio,virtual [6] tailor,pci [5] american,college [5] college,cardiology [5] heart,failure [4] late,breaking [4] #acc20,#acc2020 Top Word Pairs in Tweet in G9:
[65] important,know [65] know,symptoms [65] symptoms,#heartfailure [65] #heartfailure,#acc20 [39] heart,failure [39] failure,#acc20 [31] re,committed [31] committed,advancing [31] advancing,research [31] research,#cardiovasculardisease Top Word Pairs in Tweet in G10:
[59] #acc20,#wccardio [8] make,informed [7] tailor,pci [6] heart,failure [6] accpcardprn,atriumrx [5] #wccardio,virtual [5] committed,empowering [5] empowering,patients [5] patients,help [5] help,make 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 G7:
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 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: