The graph represents a network of 5,799 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 April 2022 at 05:48 UTC.
The requested start date was Monday, 25 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 18-hour, 57-minute period from Wednesday, 20 April 2022 at 16:11 UTC to Sunday, 24 April 2022 at 11:09 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 : 5799
Unique Edges : 4789
Edges With Duplicates : 12733
Total Edges : 17522
Number of Edge Types : 5
Retweet : 5230
MentionsInRetweet : 7709
Mentions : 2529
Replies to : 447
Tweet : 1607
Self-Loops : 1680
Reciprocated Vertex Pair Ratio : 0.0388598022105876
Reciprocated Edge Ratio : 0.0748124090043678
Connected Components : 415
Single-Vertex Connected Components : 138
Maximum Vertices in a Connected Component : 4399
Maximum Edges in a Connected Component : 14799
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.464859
Graph Density : 0.000265565407460136
Modularity : 0.462362
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,799 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 April 2022 at 05:48 UTC.
The requested start date was Monday, 25 April 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 18-hour, 57-minute period from Wednesday, 20 April 2022 at 16:11 UTC to Sunday, 24 April 2022 at 11:09 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 : GraphServerTwitterSearch
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:
[646] #medtwitter,#meded [496] #foamed,#meded [443] rule,4s [442] learning,brainstem [442] brainstem,#neuroanatomy [442] #neuroanatomy,nearly [442] nearly,impossible [442] impossible,without [442] without,rule [442] 4s,going Top Word Pairs in Tweet in G1:
[413] #medtwitter,#meded [388] more,medical [379] medical,news [301] more,date [296] #meded,#mednews [285] date,medical [264] medical,headlines [241] headlines,visit [135] visit,#medicalnews [130] #medicalnews,#medtwitter Top Word Pairs in Tweet in G2:
[42] #idtwitter,#medtwitter [40] #twitterx,#meded [31] #medtwitter,#twitterx [30] absteward,fever [25] award,winners [23] fever,major [23] major,driver [23] driver,inappropriate [23] inappropriate,prescription [23] prescription,antibiotics Top Word Pairs in Tweet in G3:
[111] stroke,volume [99] calculation,stroke [99] volume,cardiac [99] cardiac,output [99] output,using [99] using,#pocus [99] #pocus,important [99] important,differentiate [99] differentiate,between [99] between,high Top Word Pairs in Tweet in G4:
[423] rule,4s [422] learning,brainstem [422] brainstem,#neuroanatomy [422] #neuroanatomy,nearly [422] nearly,impossible [422] impossible,without [422] without,rule [422] 4s,going [422] going,pass [422] pass,along Top Word Pairs in Tweet in G5:
[286] #foamed,#meded [278] #medtwitter,#foamed [207] pathophysiology,chronic [207] chronic,obstructive [207] obstructive,pulmonary [207] pulmonary,disease [207] disease,copd [207] copd,#medtwitter [207] #meded,#pulmonology [207] #pulmonology,#usmle Top Word Pairs in Tweet in G6:
[84] #foamed,#meded [83] #meded,#radres [81] #foamrad,#foamed [52] watch,images [52] mr,images [52] images,pixel [52] pixel,pixel [52] pixel,handmade [51] handmade,spinacademics [45] #radres,#futureradres Top Word Pairs in Tweet in G7:
[12] #meded,#medtwitter [9] week,offer [9] offer,#mededpearls [9] #mededpearls,sood_lonika [9] sood_lonika,optimizing [9] optimizing,clinical [9] clinical,learning [9] learning,environment [9] environment,learner [7] #meded,#facultydevelopment Top Word Pairs in Tweet in G8:
[90] lumbar,puncture [90] puncture,#pocus [90] #pocus,steps [90] steps,impocusfocus [90] impocusfocus,practicalpocus [90] practicalpocus,pocusmeded [90] pocusmeded,pocusiapn [90] pocusiapn,famusultrasound [90] famusultrasound,emugs_ [89] pocuspeek,lumbar Top Word Pairs in Tweet in G9:
[21] opportunity,apply [21] apply,underrepresented [21] underrepresented,medicine [21] medicine,visiting [21] visiting,clerkship [21] clerkship,program [21] program,uchicagomed [21] uchicagomed,sponsored [20] futuredocs,opportunity [20] sponsored,uchip Top Word Pairs in Tweet in G10:
[28] #medtwitter,#meded [15] #meded,#healthcare [13] #meded,#medtwitter [11] summerlin,hospital [9] link,bio [8] hospital,medical [8] medical,center [7] spring,valley [7] valley,hospital [6] #meded,#medstudenttwitter Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
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: