The graph represents a network of 6,197 Twitter users whose recent tweets contained "#aha19 OR #aha2019 since:2019-11-18", 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, 19 November 2019 at 09:22 UTC.
The tweets in the network were tweeted over the 1-day, 9-hour, 5-minute period from Monday, 18 November 2019 at 00:00 UTC to Tuesday, 19 November 2019 at 09:05 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 : 6197
Unique Edges : 22003
Edges With Duplicates : 18592
Total Edges : 40595
Self-Loops : 1692
Reciprocated Vertex Pair Ratio : 0.0743653477853388
Reciprocated Edge Ratio : 0.138435864370781
Connected Components : 172
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 5810
Maximum Edges in a Connected Component : 40124
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.662098
Graph Density : 0.000686675168111187
Modularity : 0.375699
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,197 Twitter users whose recent tweets contained "#aha19 OR #aha2019 since:2019-11-18", 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, 19 November 2019 at 09:22 UTC.
The tweets in the network were tweeted over the 1-day, 9-hour, 5-minute period from Monday, 18 November 2019 at 00:00 UTC to Tuesday, 19 November 2019 at 09:05 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 : #aha19 OR #aha2019 since:2019-11-18
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:
[495] #aha19,ahameetings [375] ahameetings,ahascience [261] mg,dl [241] heart,disease [220] ahameetings,#aha19 [220] #aha19,#ahajournals [208] #aha19,#aha2019 [207] #aha19,#aha19_svc [175] heart,failure [174] presented,#aha19 Top Word Pairs in Tweet in G1:
[199] ahameetings,ahascience [185] #aha19,ahameetings [118] u,s [115] #aha19,#ahajournals [98] heart,failure [93] #accfit,#ahafit [87] day,1 [83] #cardiotwitter,#accfit [79] learn,more [79] #ischemia,#colcot Top Word Pairs in Tweet in G2:
[145] #aha19,ahameetings [122] docsavagetju,fischman_david [111] drmarthagulati,mmamas1973 [111] ahameetings,ahascience [92] #somedsummit,#aha19 [85] ahameetings,#aha19 [81] presented,#aha19 [81] tjuhospital,docsavagetju [73] much,#aha19 [71] drmarthagulati,iamritu Top Word Pairs in Tweet in G3:
[136] american,heart [125] heart,association [124] #quitlying,#endthelies [114] #wevapewevote,#quitlying [107] development,director [107] director,american [107] #vapingsaveslives,#vapingsavedmylife [102] #endthelies,#aha2019 [98] here,s [98] big,tobacco Top Word Pairs in Tweet in G4:
[58] read,more [55] more,#aha19 [45] mg,dl [41] patients,w [35] 70,mg [33] medical,therapy [32] diverse,cv [31] coronary,microvascular [31] heart,disease [31] randomized,trial Top Word Pairs in Tweet in G5:
[192] #aha19,#aha19_svc [126] mg,dl [91] cardiologiasvc,torresviera [76] 70,mg [55] presentados,#aha19 [53] fundaproceca,ernestocardio [52] https,t [52] t,co [50] estudios,relevantes [50] relevantes,presentados Top Word Pairs in Tweet in G6:
[52] #circaha19,#aha19 [52] #aha19,#ahajournals [32] #aha19,#younghearts [29] #younghearts,#pedscards [20] heart,surgery [19] heart,disease [19] congenital,heart [18] #aha19,ahameetings [18] #pedscards,#chdcare4life [15] patients,stable Top Word Pairs in Tweet in G7:
[56] sigue,nosotros [56] nosotros,directo [56] directo,mejor [56] mejor,ciencia [56] ciencia,debate [56] debate,científico [56] científico,relacionado [56] relacionado,#ictus [56] #ictus,#fibrilaciónauricular [56] #fibrilaciónauricular,desde Top Word Pairs in Tweet in G8:
[19] idea,created [19] created,figure [19] figure,fantastic [19] fantastic,guide [19] guide,conference [19] conference,attendees [19] attendees,#aha19 [13] exceptions,af [13] af,pauses [13] pauses,af Top Word Pairs in Tweet in G9:
[100] coverage,#aha19 [100] atrial,fibrillation [99] follow,live [99] live,coverage [99] #aha19,16 [99] 16,18 [99] 18,november [99] november,latest [99] latest,science [99] science,discussion Top Word Pairs in Tweet in G10:
[13] scientific,sessions [12] president,american_heart [11] memorial,lecture [11] excellent,#leadership [11] #leadership,#heforshe [11] #heforshe,advocacy [11] advocacy,president [11] american_heart,announces [11] announces,#manels [11] #manels,annual 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 G8:
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 G8:
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: