The graph represents a network of 1,414 Twitter users whose recent tweets contained "#ACCIC OR #ACCFIT OR #ACCEarlyCareer OR #WhyCMR OR #CardioOnc OR #ACCWIC -#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 13:39 UTC.
The tweets in the network were tweeted over the 7-day, 12-hour, 45-minute period from Wednesday, 12 May 2021 at 00:38 UTC to Wednesday, 19 May 2021 at 13:24 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 : 1414
Unique Edges : 6256
Edges With Duplicates : 3047
Total Edges : 9303
Self-Loops : 129
Reciprocated Vertex Pair Ratio : 0.0815340480144949
Reciprocated Edge Ratio : 0.150774815021639
Connected Components : 18
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 1360
Maximum Edges in a Connected Component : 9242
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.46699
Graph Density : 0.00358511738343989
Modularity : 0.457334
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,414 Twitter users whose recent tweets contained "#ACCIC OR #ACCFIT OR #ACCEarlyCareer OR #WhyCMR OR #CardioOnc OR #ACCWIC -#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 13:39 UTC.
The tweets in the network were tweeted over the 7-day, 12-hour, 45-minute period from Wednesday, 12 May 2021 at 00:38 UTC to Wednesday, 19 May 2021 at 13:24 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 : #ACCIC OR #ACCFIT OR #ACCEarlyCareer OR #WhyCMR OR #CardioOnc OR #ACCWIC -#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:
[89] #whycmr,#cardiotwitter [71] stare,bene [71] bene,è [71] è,importante [71] importante,#salute [69] epicardial,lipomatosis [64] lipomatosis,71 [64] 71,man [64] man,bmi [64] bmi,27 Top Word Pairs in Tweet in G1:
[33] don,t [31] #accwic,#accfit [22] #accic,#accfit [21] discussion,using [20] great,discussion [19] #accwic,drtoniyasingh [18] #accearlycareer,#accfit [16] gina_lundberg,drtoniyasingh [16] happening,now [15] #cardioobstetrics,#accwic Top Word Pairs in Tweet in G2:
[36] #yescct,#whycmr [29] purviparwani,scmrorg [26] small,suprise [26] suprise,hidden [26] hidden,33y [26] 33y,man [26] man,presenting [26] presenting,#cmh [26] #cmh,routine [26] routine,echocardiography Top Word Pairs in Tweet in G3:
[33] cardionerds,1 [31] stare,bene [31] bene,è [31] è,importante [31] importante,#salute [27] #cardioonc,#cardiotwitter [27] 3,#cardioonc [24] #salute,#saluteebenessere [23] #medtwitter,#meded [23] #cardiotwitter,#medtwitter Top Word Pairs in Tweet in G4:
[40] stare,bene [40] bene,è [40] è,importante [40] importante,#salute [32] #salute,#saluteebenessere [25] #medtwitter,#cardioonc [24] #tgcom24,#tg [23] #tg4,#ansa [22] #ansa,#medtwitter [22] #whycmr,#cardiotwitter Top Word Pairs in Tweet in G5:
[32] tras,iam [16] sacubitrilo,valsartán [16] valsartán,vs [16] vs,valsartán [16] valsartán,fevi [16] fevi,lt [16] lt,40 [16] 40,tras [16] iam,estudio [16] estudio,aleatorizado Top Word Pairs in Tweet in G6:
[25] game,changer [23] monster,out [23] out,over [23] over,weekend [23] weekend,t24 [23] t24,flex [23] flex,game [23] changer,pro [23] pro,tip [23] tip,put Top Word Pairs in Tweet in G7:
[51] epicardial,lipomatosis [51] lipomatosis,71 [51] 71,man [51] man,bmi [51] bmi,27 [51] 27,2 [51] 2,impressive [51] impressive,amount [51] amount,fat [51] fat,surrounding Top Word Pairs in Tweet in G8:
[10] laheycardiology,representing [10] representing,accmass [10] accmass,national [10] #accfit,jeopardy [10] jeopardy,champions [9] maiwand66,sonuabraham236 [8] won,laheycardiology [8] national,acc [8] acc,#accfit [8] champions,congratulations Top Word Pairs in Tweet in G10:
[13] delay,pregnancy [13] pregnancy,physicians [13] physicians,vs [13] vs,nonphysicians [13] nonphysicians,jamainternalmed [13] jamainternalmed,part [13] part,jamanetwork [13] jamanetwork,'women [13] 'women,physicians [13] physicians,appear 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 G9:
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: