The graph represents a network of 3,337 Twitter users whose recent tweets contained "#Cardiotwitter -#ACC21 -#ACC2021 -@ACCinTouch", 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 Wednesday, 19 May 2021 at 13:13 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 53-minute period from Wednesday, 12 May 2021 at 00:45 UTC to Wednesday, 19 May 2021 at 12:38 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 : 3337
Unique Edges : 10549
Edges With Duplicates : 6597
Total Edges : 17146
Self-Loops : 842
Reciprocated Vertex Pair Ratio : 0.0372547324747169
Reciprocated Edge Ratio : 0.0718333333333333
Connected Components : 51
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 3214
Maximum Edges in a Connected Component : 16977
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.275243
Graph Density : 0.00107795094460841
Modularity : 0.444147
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,337 Twitter users whose recent tweets contained "#Cardiotwitter -#ACC21 -#ACC2021 -@ACCinTouch", 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 Wednesday, 19 May 2021 at 13:13 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 53-minute period from Wednesday, 12 May 2021 at 00:45 UTC to Wednesday, 19 May 2021 at 12:38 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 : #Cardiotwitter -#ACC21 -#ACC2021 -@ACCinTouch
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:
[803] #cardiotwitter,#medtwitter [414] #medtwitter,#meded [361] more,medical [361] medical,news [361] news,#cardiotwitter [302] esc_journals,escardio [297] #cardiotwitter,#cardioed [275] #cardiotwitter,esc_journals [263] #cardioed,#cardiotwitter [260] #cardiotwitter,#cardiology Top Word Pairs in Tweet in G1:
[174] #cardiotwitter,#cardioed [121] #cardiotwitter,#medtwitter [83] #europcr,#cardiotwitter [64] #cardioed,#cardiotwitter [56] https,t [56] t,co [55] #cardiotwitter,escardio [48] one,narrowest [48] narrowest,seen [48] seen,#cardiotwitter Top Word Pairs in Tweet in G2:
[191] #cardiotwitter,#medtwitter [128] #medtwitter,#meded [115] more,medical [115] medical,news [115] news,#cardiotwitter [78] #herheartmattersatlas,heartdocsharon [70] hsarfi,colellatracey [69] #cardiotwitter,#cardiology [60] #cardiotwitter,#cardioed [55] heartdocsharon,womenshearts2 Top Word Pairs in Tweet in G3:
[173] #cardiotwitter,#medtwitter [97] #medtwitter,#meded [82] #echofirst,#cardiotwitter [80] #cardiology,#cardiologia [76] more,medical [76] medical,news [76] news,#cardiotwitter [72] free,edge [71] #ecuador,#peru [71] #peru,#bolivia Top Word Pairs in Tweet in G4:
[195] esc_journals,escardio [185] #cardiotwitter,esc_journals [83] heart,failure [63] new,review [58] #whycmr,#cardiotwitter [49] cardiac,amyloidosis [48] aortic,stenosis [47] #heartfailure,#cardiotwitter [47] 1,month's [47] month's,#ehjcasereports Top Word Pairs in Tweet in G5:
[90] #cardiotwitter,#medtwitter [69] #cardioed,#cardiotwitter [49] find,out [35] optimizing,timing [35] timing,valve [35] valve,intervention [35] intervention,asymptomatic [35] asymptomatic,severe [35] severe,#valvularheartdisease [35] #valvularheartdisease,#cardioed Top Word Pairs in Tweet in G6:
[102] #cardiotweet,#cardiotwitter [99] #cardioed,#meded [98] sometimes,enemy [98] enemy,valve [98] valve,enemy [98] enemy,thrombus [98] thrombus,transit [98] transit,best [98] best,friend [98] friend,stroking Top Word Pairs in Tweet in G7:
[40] #tweetthejournal,dominik_linz [40] els_cardiology,elseviernews [38] dominik_linz,els_cardiology [35] #cardioed,#cardiotwitter [34] #cardiotwitter,#tweetthejournal [34] elseviernews,betzkonstanze [30] #medtwitter,#medstudenttwitter [28] #ddx,diffuse [28] diffuse,st [28] st,segment Top Word Pairs in Tweet in G8:
[42] #cardiotwitter,#ecg [24] chuletadeosler,carprimur [18] diagnostico,manejo [18] manejo,inicial [18] inicial,56 [18] 56,años [18] años,dolor [18] dolor,toracico [18] toracico,presincope [18] presincope,astenia Top Word Pairs in Tweet in G9:
[8] please,read [8] read,new [8] new,article [8] article,transcatheter [8] transcatheter,mitral [8] mitral,valve [8] valve,replacement [8] replacement,update [8] update,co_cardiology [8] co_cardiology,sachingoelmd Top Word Pairs in Tweet in G10:
[22] #thefword,#freedomfromfailure [15] #freedomfromfailure,bsheartfailure [15] bsheartfailure,bancccouncil [15] bjcardnursing,#cardiotwitter [13] #heartfailureawarenessweek,nurse [13] nurse,forum [12] thebjca,bhrsociety [11] summing,up [11] up,wonderful [11] wonderful,#heartfailureawarenessweek 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 G7:
Top Replied-To in G8:
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:
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Top Tweeters in G9:
Top Tweeters in G10: