The graph represents a network of 6,851 Twitter users whose recent tweets contained "#aha19 OR #aha2019 until:2019-11-17", 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, 17 November 2019 at 19:58 UTC.
The tweets in the network were tweeted over the 4-day, 1-hour, 7-minute period from Tuesday, 12 November 2019 at 22:52 UTC to Saturday, 16 November 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 : 6851
Unique Edges : 27452
Edges With Duplicates : 27021
Total Edges : 54473
Self-Loops : 2587
Reciprocated Vertex Pair Ratio : 0.07593514207738
Reciprocated Edge Ratio : 0.141151894956729
Connected Components : 219
Single-Vertex Connected Components : 163
Maximum Vertices in a Connected Component : 6509
Maximum Edges in a Connected Component : 54029
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.485801
Graph Density : 0.000714052080414495
Modularity : 0.344524
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,851 Twitter users whose recent tweets contained "#aha19 OR #aha2019 until:2019-11-17", 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, 17 November 2019 at 19:58 UTC.
The tweets in the network were tweeted over the 4-day, 1-hour, 7-minute period from Tuesday, 12 November 2019 at 22:52 UTC to Saturday, 16 November 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #aha19 OR #aha2019 until:2019-11-17
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:
[787] #aha19,ahameetings [649] ahameetings,#aha19 [591] ahameetings,ahascience [515] trial,#aha19 [439] myocardial,infarction [429] scientific,sessions [415] colcot,trial [403] #aha19,#aha2019 [396] más,riesgo [393] #ischemia,trial Top Word Pairs in Tweet in G1:
[333] #aha19,ahameetings [320] ahameetings,ahascience [254] ahameetings,#aha19 [251] #aha19,#aha2019 [182] irmaraste,evirahealth [155] scientific,sessions [138] looking,forward [123] ahascience,#aha19 [114] ahameetings,american_heart [108] #aha2019,#ahapartner Top Word Pairs in Tweet in G2:
[350] #aha19,ahameetings [312] ahameetings,#aha19 [248] ahameetings,ahascience [208] dapa,hf [187] #ischemia,trial [166] trial,#aha19 [146] non,dm [142] cv,death [142] #ischemia,#aha19 [136] scientific,sessions Top Word Pairs in Tweet in G3:
[255] e,cigarettes [235] heart,health [232] hr,0 [188] traditional,cigarettes [188] cigarettes,#aha19 [181] two,studies [181] studies,find [181] find,e [181] cigarettes,dangerous [181] dangerous,worse Top Word Pairs in Tweet in G4:
[257] colcot,trial [256] trial,#aha19 [256] myocardial,infarction [209] cardiovascular,events [191] recent,myocardial [188] patients,recent [188] low,dose [187] dose,colchicine [185] ischemic,cardiovascular [184] once,daily Top Word Pairs in Tweet in G5:
[155] 16,noviembre [151] 18,noviembre [149] sigue,nosotros [149] nosotros,directo [149] directo,mejor [149] mejor,ciencia [149] ciencia,debate [149] debate,científico [149] científico,relacionado [149] relacionado,#ictus Top Word Pairs in Tweet in G6:
[390] más,riesgo [195] 2,abstracts [195] abstracts,serán [195] serán,presentados [195] presentados,reunión [195] reunión,#aha19 [195] #aha19,próxima [195] próxima,semana [195] semana,reportan [195] reportan,quienes Top Word Pairs in Tweet in G7:
[31] #aha2019,ahameetings [23] ahameetings,#aha19 [21] vascular,disease [17] disease,women [15] dramypollak,#aha2019 [14] sci,tech [14] tech,hall [13] 7,15 [13] women,s [13] ahameetings,colemandm_vasc Top Word Pairs in Tweet in G8:
[12] scientific,sessions [9] new,research [8] american,heart [7] e,cigarettes [7] heart,association [6] heart,health [5] traditional,cigarettes [5] #aha19,#aha2019 [5] convention,center [4] two,studies Top Word Pairs in Tweet in G9:
[39] cv,death [31] #medtwitter,#cardiology [31] #cardiotwitter,#somedocs [31] #somedocs,#tweetatricians [31] #tweetatricians,#cvprev [30] #doctors,#medtwitter [30] #cardiology,#medstudenttwitter [30] #medstudenttwitter,#cardiotwitter [30] amrn,#vascepa [30] #vascepa,#endotwitter Top Word Pairs in Tweet in G10:
[13] cleveland,clinic [13] stop,#aha2019 [13] #aha2019,booth [13] booth,#3051 [10] lv,thrombus [10] thrombus,lge [10] lge,cmr [10] cmr,associated [10] associated,4 [10] 4,fold 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 G7:
Top Replied-To in G9:
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 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: