The graph represents a network of 4,564 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 Thursday, 21 November 2019 at 00:08 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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, 8-hour, 0-minute period from Friday, 15 November 2019 at 17:00 UTC to Tuesday, 19 November 2019 at 01:00 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 : 4564
Unique Edges : 6816
Edges With Duplicates : 2511
Total Edges : 9327
Number of Edge Types : 3
Mentions : 8067
Tweet : 1075
Replies to : 185
Self-Loops : 1075
Reciprocated Vertex Pair Ratio : 0.0467567166394538
Reciprocated Edge Ratio : 0.0893363584798639
Connected Components : 365
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 3302
Maximum Edges in a Connected Component : 7060
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.999947
Graph Density : 0.000338622802048946
Modularity : 0.665071
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,564 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 Thursday, 21 November 2019 at 00:08 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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, 8-hour, 0-minute period from Friday, 15 November 2019 at 17:00 UTC to Tuesday, 19 November 2019 at 01:00 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".
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[217] #meded,#foamed [176] #health,#nutrition [170] #nutrition,#life [160] #life,#hcsm [138] #hcsm,#healthy [137] senden,meded [136] eden,ey [123] check,out [122] 2,3 [116] #meded,#medtwitter Top Word Pairs in Tweet in G1:
[96] summary,day [96] day,1 [96] #aha19,trials [96] trials,#lbt [96] #lbt,ahascience [74] #ischemia,#colcot [72] great,one [72] one,line [72] line,summary [72] 1,#aha19 Top Word Pairs in Tweet in G2:
[176] #health,#nutrition [170] #nutrition,#life [160] #life,#hcsm [138] #hcsm,#healthy [114] #healthy,#digitalhealth [100] #digitalhealth,#4patients [96] #meded,#healthtalk [91] #4patients,#foamed [86] #foamed,#mhealth [85] #meded,#healthcare Top Word Pairs in Tweet in G3:
[39] registration,now [39] now,open [39] open,nov [39] nov,2020 [39] 2020,women [39] women,s [39] s,leadership [39] leadership,course [39] course,harvardmed [39] harvardmed,course Top Word Pairs in Tweet in G4:
[106] #meded,#foamed [87] #foamed,#usmle [81] #usmle,#medtwitter [72] hemoptysis,differential [72] differential,#meded [71] manualomedicine,hemoptysis [58] find,bookmark [40] modified,valsalva [37] #foamed,#meded [24] antineoplastic,man Top Word Pairs in Tweet in G5:
[87] 2,3 [86] physician,#suicide [86] #suicide,epidemic [86] epidemic,300 [86] 300,400 [86] 400,dying [86] dying,each [86] each,year [86] year,equivalent [86] equivalent,graduating Top Word Pairs in Tweet in G6:
[9] senden,meded [8] #meded,#medtwitter [8] eden,ey [5] medical,education [5] #foamed,#meded [5] medical,terminology [4] link,bio [4] ey,katreyi [4] katreyi,ummân [4] ummân,eden Top Word Pairs in Tweet in G7:
[36] #medtwitter,#meded [36] #meded,themja [36] themja,asked [36] asked,#genderequity [36] #genderequity,medicine [36] medicine,answer [36] answer,resounding [35] inquisitivegyn,#medtwitter [35] resounding,grou [21] please,share Top Word Pairs in Tweet in G8:
[29] stanfordpath,saturday [29] saturday,39 [29] 39,woman [29] woman,painful [29] painful,breast [29] breast,mass [29] mass,lymphohistiocytic [29] lymphohistiocytic,infiltrate [29] infiltrate,neutrophils [28] jscapapathmd,stanfordpath Top Word Pairs in Tweet in G9:
[40] fun,fact [40] fact,dorsalis [40] dorsalis,pedis [40] pedis,pulse [40] pulse,congenitally [40] congenitally,absent [40] absent,approximately [40] approximately,10 [40] 10,individuals [40] individuals,conversely Top Word Pairs in Tweet in G10:
[65] trainees,please [65] please,emulate [65] emulate,people [65] people,acclaimed [65] acclaimed,well [65] well,funded [65] funded,well [65] well,published [65] published,researchers [65] researchers,terrible Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: