The graph represents a network of 4,529 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 Tuesday, 11 June 2019 at 16:15 UTC.
The requested start date was Monday, 10 June 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 21-hour, 19-minute period from Thursday, 06 June 2019 at 02:41 UTC to Monday, 10 June 2019 at 00:00 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 : 4529
Unique Edges : 6756
Edges With Duplicates : 4513
Total Edges : 11269
Number of Edge Types : 3
Mentions : 9916
Replies to : 329
Tweet : 1024
Self-Loops : 1024
Reciprocated Vertex Pair Ratio : 0.0549242424242424
Reciprocated Edge Ratio : 0.104129263913824
Connected Components : 361
Single-Vertex Connected Components : 131
Maximum Vertices in a Connected Component : 3309
Maximum Edges in a Connected Component : 7044
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.080825
Graph Density : 0.00035309356974722
Modularity : 0.568294
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[315] #meded,#foamed [152] #foamed,#meded [147] ekinci_hilal,ehlisunnet_f [142] check,out [140] ehlisunnetyolu_,ekinci_hilal [131] #meded,#medtwitter [103] ugurdundarsuzcu,ehlisunnetyolu_ [99] senay4ak,sevimzkurt1 [89] #meded,#healthcare [86] ehlisunnet_f,senay4ak Top Word Pairs in Tweet in G1:
[76] #meded,#healthcare [52] link,bio [49] check,out [42] vegas,nv [42] hospital,medical [40] medical,center [37] #meded,#foamed [35] #meded,#hpe [29] click,link [29] summerlin,hospital Top Word Pairs in Tweet in G2:
[64] treat,disease [64] disease,win [64] win,lose [64] lose,treat [64] treat,patient [64] patient,guarantee [64] guarantee,always [64] always,win [64] win,patch [64] patch,adams Top Word Pairs in Tweet in G3:
[160] #meded,#foamed [89] #foamed,#meded [76] search,bookmark [76] bookmark,#foamed [73] #foamed,#usmle [73] #usmle,#medtwitter [63] #foamed,#medtwitter [57] #meded,images [50] causes,syncope [50] syncope,transient Top Word Pairs in Tweet in G4:
[41] mentorship,malpractice [41] arghavan_salles,mddreamchaser [40] experienced,forms [40] forms,mentorship [40] malpractice,arghavan_salles [39] rakheebhayanimd,experienced [17] gender,bias [16] tuesday,#medthread [16] #medthread,time [16] time,give Top Word Pairs in Tweet in G5:
[21] #womeninmedicine,chat [20] plz,join [20] join,2nite [20] 2nite,june [20] june,9th [20] 9th,9pm [20] 9pm,et [20] et,4another [20] 4another,amazing [20] amazing,#womeninmedicine Top Word Pairs in Tweet in G6:
[7] breakout,session [6] #meded,#clinicaleducation [6] #ctff2019,#meded [6] medical,education [6] mahanmeded,uoftmdprogram [6] jonathanjfuller,sydneyamelia [5] role,arts [5] arts,supporting [5] supporting,global [5] global,health Top Word Pairs in Tweet in G7:
[10] systematic,realist [10] realist,review [10] review,'balancing [10] 'balancing,patient [10] patient,care [10] care,trainee [10] trainee,education [10] education,health [10] health,workplace' [10] workplace',one Top Word Pairs in Tweet in G8:
[8] #meded,#healthcare [6] #meded,#medtwitter [6] check,out [6] medical,terminology [6] #medicalterminology,#meded [5] medical,education [5] #foamed,#meded [5] link,bio [5] summerlin,hospital [5] #meded,#medicalschool Top Word Pairs in Tweet in G9:
[16] #snrtg,#bigdata [15] major,progress [15] progress,genetically [15] genetically,decoding [15] decoding,multiple [15] multiple,sclerosis [15] sclerosis,new [15] new,genes [15] genes,#snrtg [14] primary_immune,major Top Word Pairs in Tweet in G10:
[19] medical,schools [19] schools,doing [19] doing,admit [19] admit,more [18] more,low [18] low,income [18] income,students [15] president,dr [15] picardonhealth,medical [12] students,healthydebate Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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