The graph represents a network of 4,628 Twitter users whose recent tweets contained "#esccongress since:2019-09-02 until:2019-09-03", 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, 09 September 2019 at 15:44 UTC.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Monday, 02 September 2019 at 00:00 UTC to Monday, 02 September 2019 at 23:59 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 : 4628
Unique Edges : 18767
Edges With Duplicates : 19874
Total Edges : 38641
Self-Loops : 1866
Reciprocated Vertex Pair Ratio : 0.0633504755836709
Reciprocated Edge Ratio : 0.11915257864327
Connected Components : 112
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 4343
Maximum Edges in a Connected Component : 38235
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.410269
Graph Density : 0.00109112105321458
Modularity : 0.337748
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[818] #esccongress,#wcc2019 [747] #esccongress,escardio [473] escardio,#esccongress [454] dapa,hf [364] #esccongress,#cardiotwitter [363] heart,failure [292] trial,#esccongress [267] #wcc2019,escardio [261] stable,cad [251] presented,#esccongress Top Word Pairs in Tweet in G1:
[355] #esccongress,escardio [222] escardio,#esccongress [217] #esccongress,#wcc2019 [163] hvanspall,paomorejon [158] shelleyzieroth,hvanspall [157] paomorejon,mihaitrofenciuc [152] dapa,hf [146] giuseppegalati_,shelleyzieroth [137] #esccongress,#cardiotwitter [126] stable,cad Top Word Pairs in Tweet in G2:
[291] #esccongress,#wcc2019 [230] #esccongress,escardio [141] #wcc2019,escardio [121] #esccongress,secardiologia [120] escardio,worldheartfed [118] #cardiotwitter,#cardionews [116] #cardionews,#cardioupdate [116] #cardioupdate,#wcc2019 [108] dapa,hf [107] escardio,#esccongress Top Word Pairs in Tweet in G3:
[141] #esccongress,#wcc2019 [107] #wcc2019,#cardiotwitter [102] trial,#esccongress [86] #esccongress,escardio [83] heart,failure [73] escardio,#esccongress [71] paragon,hf [69] atrial,fibrillation [62] rivaroxaban,monotherapy [62] help,af Top Word Pairs in Tweet in G4:
[90] orion,11 [88] #esccongress,#esccongress2019 [84] #esccongress2019,#wcc2019 [82] #esccongress,#wcc2019 [80] #esccongress,#cardiotwitter [57] heart,failure [55] #wcc2019,escardio [55] escardio,asmbs [51] associated,lower [50] cardiovascular,risk Top Word Pairs in Tweet in G5:
[21] #esccongress,#eapc_esc [21] stand,c660 [21] hall,7 [19] free,reader [19] c660,hall [18] athletes,michaelpapadak2 [16] competition,win [16] win,heart [16] heart,soft [16] soft,toy Top Word Pairs in Tweet in G6:
[114] live,coverage [109] discussion,around [108] coverage,#esccongress [107] science,discussion [103] follow,live [103] #esccongress,31 [103] 31,august [103] august,4 [103] 4,september [103] september,latest Top Word Pairs in Tweet in G7:
[40] worsening,hf [28] cv,death [27] heart,failure [26] without,diabetes [25] dapa,hf [22] hf,#esccongress [22] lt,40 [22] hf,18 [22] 18,cv [20] #esccongress,use Top Word Pairs in Tweet in G8:
[36] dapa,hf [27] escardio,#esccongress [23] heart,failure [21] 2019,paris [20] esc,congress [20] congress,2019 [20] #esccongress,#cardiotwitter [19] spontaneous,applause [19] applause,first [19] first,result Top Word Pairs in Tweet in G9:
[38] highlights,#medscapelive [37] john,mcmurray [36] 3,fatty [33] medication,successfully [33] successfully,used [33] used,treat [33] treat,patients [31] #medscapelive,reducing [31] reducing,residual [31] residual,risk Top Word Pairs in Tweet in G10:
[37] #esccongress,#wcc2019 [31] study,#esccongress [29] 2,ways [29] ways,become [29] become,famous [29] famous,cardiology [29] cardiology,1 [29] 1,work [29] work,hard [29] hard,contribute 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 Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: