The graph represents a network of 3,957 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 06:37 UTC.
The tweets in the network were tweeted over the 2583-day, 17-hour, 15-minute period from Sunday, 13 December 2015 at 07:44 UTC to Monday, 09 January 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 : 3957
Unique Edges : 2819
Edges With Duplicates : 9864
Total Edges : 12683
Number of Edge Types : 9
Tweet : 604
Retweet : 4503
MentionsInRetweet : 6823
Mentions : 425
Replies to : 115
MentionsInReplyTo : 130
MentionsInQuote : 44
Quote : 31
MentionsInQuoteReply : 8
Self-Loops : 719
Reciprocated Vertex Pair Ratio : 0.00751526538280883
Reciprocated Edge Ratio : 0.0149184149184149
Connected Components : 249
Single-Vertex Connected Components : 96
Maximum Vertices in a Connected Component : 2832
Maximum Edges in a Connected Component : 10164
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.852004
Graph Density : 0.000411079877132153
Modularity : 0.423088
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,957 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 06:37 UTC.
The tweets in the network were tweeted over the 2583-day, 17-hour, 15-minute period from Sunday, 13 December 2015 at 07:44 UTC to Monday, 09 January 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:
[1552] #meded,#medtwitter [675] #medtwitter,#meded [396] medical,team [396] suffering,#suddencardiacarrest [396] hamlinisland,suffering [396] during,game [396] #suddencardiacarrest,during [396] response,medical [396] scary,quick [396] game,scary Top Word Pairs in Tweet in G1:
[584] #meded,#medtwitter [249] high,heels [249] visualized,ray [249] heels,visualized [249] ray,grepmeded [177] rvr,looks [177] afib,rvr [177] looks,drlauraduggan [177] drlauraduggan,#meded [176] brownhospmed,afib Top Word Pairs in Tweet in G2:
[401] #meded,#medtwitter [268] #medtwitter,#meded [144] #endocrinology,#endocrine [144] #endocrine,#hormones [144] #hormones,#thyroid [111] xchromosome,#pulmtwitter [111] #pulmtwitter,#meded [111] system,disorders [111] disorders,xchromosome [111] respiratory,system Top Word Pairs in Tweet in G3:
[327] #meded,#medtwitter [164] #medtwitter,#meded [147] #medstudents,#medicalstudents [139] management,acute [112] kidney,injury [112] acute,kidney [102] diagnostic,criteria [102] criteria,management [101] apothera,diagnostic [101] #usmle,#healthcare Top Word Pairs in Tweet in G4:
[396] hamlinisland,suffering [396] scary,quick [396] #suddencardiacarrest,during [396] suffering,#suddencardiacarrest [396] game,scary [396] during,game [396] response,medical [396] medical,team [396] news,hamlinisland [396] quick,response Top Word Pairs in Tweet in G5:
[176] #medtwitter,#radtwitter [97] #meded,#medtwitter [89] #meded,#radiology [88] #radtwitter,#medicine [88] true,#meded [88] #radiology,#medtwitter [87] radrounds,true [83] artifact,dx [83] #radtwitter,#ortho [83] rendering,artifact Top Word Pairs in Tweet in G6:
[151] #medtwitter,#foamed [150] pericardial,effusion [150] #meded,ladies [150] gents,dancing [150] ladies,gents [150] heart,looks [150] looks,pericardial [150] dancing,heart [150] effusion,#medtwitter [150] #foamed,#cardioed Top Word Pairs in Tweet in G7:
[63] fraction,diaphragm [63] thickening,fraction [63] diaphragm,weakness [63] diaphragm,thickening [63] weaning,failure [63] abcde,approach [63] approach,tfdi [63] tfdi,diaphragm [63] #pocus,patients [63] failure,abcde Top Word Pairs in Tweet in G8:
[36] #medtwitter,#meded [15] #meded,#medtwitter [6] #meded,#medicine [6] #meded,#foamed [4] boone,ia [4] county,hospital [4] #medpub,#epidtwitter [4] boone,county [4] #meded,#epidemiology [4] #meded,#medstudenttwitter Top Word Pairs in Tweet in G9:
[21] #meded,#medtwitter [12] #medtwitter,#meded [11] 35,excellent [11] hbeag,sc [11] hbcrag,mx [11] good,hbcrag [11] systematic,review [11] false,pos [11] false,neg [11] excellent,hbeag Top Word Pairs in Tweet in G10:
[34] going,paris [34] image,looking [34] t1,image [34] sagittal,t1 [34] looking,midline [34] structures,going [34] midline,sagittal [34] classic,midline [34] looking,classic [34] midline,structures Top Replied-To in Entire Graph:
Top Replied-To in G1:
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: