The graph represents a network of 4,071 Twitter users whose recent tweets contained "meded", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 06:39 UTC.
The tweets in the network were tweeted over the 1714-day, 23-hour, 24-minute period from Monday, 25 June 2018 at 01:36 UTC to Monday, 06 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4071
Unique Edges : 2798
Edges With Duplicates : 10219
Total Edges : 13017
Number of Edge Types : 9
Mentions : 676
Retweet : 4305
MentionsInRetweet : 6392
Tweet : 577
Replies to : 279
MentionsInReplyTo : 547
Quote : 76
MentionsInQuote : 158
MentionsInQuoteReply : 7
Self-Loops : 777
Reciprocated Vertex Pair Ratio : 0.021678891605542
Reciprocated Edge Ratio : 0.0424377791959158
Connected Components : 272
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 2930
Maximum Edges in a Connected Component : 10419
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 4.122087
Graph Density : 0.000378297504310769
Modularity : 0.393888
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,071 Twitter users whose recent tweets contained "meded", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 06:39 UTC.
The tweets in the network were tweeted over the 1714-day, 23-hour, 24-minute period from Monday, 25 June 2018 at 01:36 UTC to Monday, 06 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : meded
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2399] #meded,#medtwitter [732] #medtwitter,#meded [380] #medtwitter,#gitwitter [362] digestion,absorption [362] absorption,nutrients [362] nutrients,#meded [360] innov_medicine,digestion [310] #medtwitter,#foamed [302] scientissimum,#meded [300] dorsi,cadaveric Top Word Pairs in Tweet in G1:
[1454] #meded,#medtwitter [281] relationship,scapula [281] video,scientissimum [281] scapula,latissimus [281] dorsi,cadaveric [281] cadaveric,video [281] scientissimum,#meded [281] latissimus,dorsi [280] innov_medicine,relationship [265] #medtwitter,#gitwitter Top Word Pairs in Tweet in G2:
[555] #meded,#medtwitter [236] #medtwitter,#foamed [227] #foamed,#meded [184] #medtwitter,#meded [126] manualomedicine,#medtwitter [108] metabolism,manualomedicine [93] #medtwitter,#gitwitter [87] #meded,#foamed [79] glucose,metabolism [79] innov_medicine,glucose Top Word Pairs in Tweet in G3:
[123] #meded,#medtwitter [98] #medtwitter,#meded [33] heart,failure [31] bmj,state [31] saf,apls [31] state,art [31] art,síndrome [31] 1136,bmj [31] apls,doi [31] síndrome,antifosfolípidos Top Word Pairs in Tweet in G4:
[82] #meded,#medtwitter [69] intensive,care [67] #medtwitter,#extubation [67] care,optimize [67] #foamcc,#meded [67] drshahrul80,intensive [67] #extubation,#some4mv [67] extubation,#foamcc [67] optimize,extubation [41] #some4mv,#intensivecare Top Word Pairs in Tweet in G5:
[17] #meded,fellowship [17] digital,media [17] yr,cardionerds [17] outcomes,1st [17] 1st,yr [17] fellowship,amazing [17] academy,digital [17] amazing,academy [17] media,#meded [17] academy,pd Top Word Pairs in Tweet in G6:
[15] session,#asit2023 [15] #asit2023,morning [11] asitofficial,#meded [11] orthopodreg,roshanamn [11] ortho_cherry,deepamusafir1 [11] looking,forward [11] parthaskar,ortho_cherry [10] forward,sharing [10] sharing,thoughts [10] thoughts,#culture Top Word Pairs in Tweet in G7:
[97] #medtwitter,#meded [50] summary,#medtwitter [50] shock,summary [50] types,shock [49] khaledalotibe1,types [44] failure,#medtwitter [44] heart,failure [41] khaledalotibe1,heart [27] #meded,#medtwitter [12] #medtwitter,#cardiotwitter Top Word Pairs in Tweet in G8:
[91] #medtwitter,#meded [78] #medpub,#medtwitter [77] #meded,#mednews [10] neg,density [10] enhance,cyst [10] bright,t1 [10] yup,made [10] ct,oop [10] dark,enhance [10] #meded,#medtwitter Top Word Pairs in Tweet in G9:
[44] teachplaygrub,keep [43] extra,ocular [43] ocular,muscles [43] orbital,metastases [43] tend,extraconal [43] extraconal,involve [43] keep,eye [43] muscles,bone [43] involve,extra [43] metastases,tend Top Word Pairs in Tweet in G10:
[10] early,career [9] imposter,syndrome [9] syndrome,#burnout [9] #burnout,early [9] formation,imposter [9] professional,identity [9] career,faculty [9] identity,formation [9] standing,professional [9] fitting,standing Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G6:
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: