The graph represents a network of 3,447 Twitter users whose recent tweets contained "#CardioTwitter", 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, 11 May 2020 at 11:42 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 17-minute period from Saturday, 02 May 2020 at 19:00 UTC to Monday, 11 May 2020 at 11:17 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 : 3447
Unique Edges : 11520
Edges With Duplicates : 3779
Total Edges : 15299
Self-Loops : 766
Reciprocated Vertex Pair Ratio : 0.0340051422410218
Reciprocated Edge Ratio : 0.0657736424159782
Connected Components : 126
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 3192
Maximum Edges in a Connected Component : 14981
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.017073
Graph Density : 0.00104955548584897
Modularity : 0.535802
NodeXL Version : 1.0.1.432
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=226506
Data Import : The graph represents a network of 3,447 Twitter users whose recent tweets contained "#CardioTwitter", 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, 11 May 2020 at 11:42 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 17-minute period from Saturday, 02 May 2020 at 19:00 UTC to Monday, 11 May 2020 at 11:17 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
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:
[397] #cardiotwitter,#medtwitter [327] #cardiotwitter,#cardiology [290] #medtwitter,#cardiotwitter [244] #cardioed,#meded [210] #echofirst,#cardiotwitter [204] #esccongress,2020 [196] moving,online [195] #epeeps,#cardiotwitter [194] soon,#cardiotwitter [190] covid,19 Top Word Pairs in Tweet in G1:
[207] #cardiotwitter,#medtwitter [151] #esccongress,2020 [149] moving,online [149] soon,#cardiotwitter [148] #cardiotwitter,#cardiology [134] infinite,possibilities [132] cv,scientific [132] scientific,meeting [132] meeting,year [132] year,moving Top Word Pairs in Tweet in G2:
[68] #cardiotwitter,#cardiology [40] #cardiotwitter,#medtwitter [32] heartotxheartmd,drmarthagulati [29] covid,19 [27] free,registration [26] #echofirst,#cardiotwitter [26] drmarthagulati,mmamas1973 [26] #foamed,#foamems [25] #cardiotwitter,#covid19 [25] thank,u Top Word Pairs in Tweet in G3:
[211] #cardioed,#meded [176] #epeeps,#cardiotwitter [152] #medtwitter,#cardiotwitter [150] #meded,#medtwitter [119] #cardiotwitter,#epeeps [78] #cardiotwitter,#cardioed [59] #hrs2020science,#cardiotwitter [56] hrsonline,#hrs2020science [53] new,arrhythmia [48] #cardiotwitter,#ecg Top Word Pairs in Tweet in G4:
[45] #echofirst,#cardiotwitter [35] #cardiotwitter,#echofirst [21] curromir,falcardio [21] falcardio,ecocardio_cl [21] ecocardio_cl,masriahmadmd [21] masriahmadmd,rezaemaminia [21] rezaemaminia,echotainment [21] echotainment,ivan_echocardio [21] ivan_echocardio,echocardiac [21] echocardiac,echo_stepbystep Top Word Pairs in Tweet in G5:
[50] covid,19 [47] enfermedades,cardiovasculares [44] impacto,morbimortalidad [44] morbimortalidad,#covidー19 [44] #covidー19,1 [44] 1,covid [44] 19,2 [44] 2,demora [44] demora,atención [44] atención,urgencias Top Word Pairs in Tweet in G6:
[127] rhc,makes [127] makes,difference [127] difference,done [127] done,right [127] right,know [127] know,waveforms [127] waveforms,know [127] know,nuances [127] nuances,troubleshoot [127] troubleshoot,garbage Top Word Pairs in Tweet in G7:
[80] #echofirst,#cardiotwitter [78] avesanimartina,jsabatino86 [78] jsabatino86,saramoscatelli7 [76] rac,sign [76] sign,notice [76] notice,sign [76] sign,always [76] always,think [76] think,retroaortic [76] retroaortic,coronary Top Word Pairs in Tweet in G8:
[30] #cardiotwitter,#radialfirst [14] talking,heads [12] new,video [12] #cardiotwitter,#cardiology [11] heads,video [11] video,series [11] #cardiotwitter,#rt [9] #cardiotwitter,#medtwitter [9] video,next [9] next,up Top Word Pairs in Tweet in G9:
[28] cardiac,electrophysiology [28] electrophysiology,cats [28] cats,thread [28] thread,apologies [28] apologies,jeanqasaur [28] jeanqasaur,#epeeps [28] #epeeps,#medtwitter [28] #medtwitter,#cardiotwitter [28] #cardiotwitter,avnrt [16] #cardiotwitter,#epeeps Top Word Pairs in Tweet in G10:
[6] #meded,#cardiotwitter [5] important,perspective [5] perspective,editorial [5] editorial,dr [5] dr,larry [5] larry,sperling [5] sperling,#cvd [5] #cvd,#cardiotwitter [5] #cardiotwitter,#covid [5] #covid,#knowfh Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: