The graph represents a network of 39,119 Twitter users whose recent tweets were included in a list (FOAMed FOAMRad MedEd MedTwitter 1-14 May 2020) of 66040 tweet IDs, or who were replied to or mentioned in those tweets. 62567 out of 66040 tweets were collected. The network was obtained from Twitter on Monday, 25 May 2020 at 20:57 UTC.
The tweets in the network were tweeted over the 12-day, 23-hour, 5-minute period from Friday, 01 May 2020 at 22:50 UTC to Thursday, 14 May 2020 at 21:55 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 : 39119
Unique Edges : 97181
Edges With Duplicates : 42109
Total Edges : 139290
Self-Loops : 11092
Reciprocated Vertex Pair Ratio : 0.0436130898714989
Reciprocated Edge Ratio : 0.0835809559975317
Connected Components : 2022
Single-Vertex Connected Components : 1371
Maximum Vertices in a Connected Component : 35686
Maximum Edges in a Connected Component : 134767
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.598669
Graph Density : 6.88348408855092E-05
Modularity : 0.546033
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 39,119 Twitter users whose recent tweets were included in a list (FOAMed FOAMRad MedEd MedTwitter 1-14 May 2020) of 66040 tweet IDs, or who were replied to or mentioned in those tweets. 62567 out of 66040 tweets were collected. The network was obtained from Twitter on Monday, 25 May 2020 at 20:57 UTC.
The tweets in the network were tweeted over the 12-day, 23-hour, 5-minute period from Friday, 01 May 2020 at 22:50 UTC to Thursday, 14 May 2020 at 21:55 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 : TwitterIDList
Graph Term : FOAMed FOAMRad MedEd MedTwitter 1-14 May 2020
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in G2:
[893] hey,#medtwitter [447] learn,code [401] medical,specialty [378] #medtwitter,written [365] written,ai [365] ai,bot [324] bot,look [245] look,profile [235] profile,guess [228] guess,medical Top Word Pairs in Tweet in G3:
[3692] #foamed,#foamcc [3677] covid,19 [3668] #batflu,#wuhan [3667] #covid2019,#covid19 [3667] #corona,#pandemic [3667] #coronavirusoutbreak,#covid2019 [3667] #coronavirus,#coronavirusoutbreak [3667] #quarantine,#socialdistancing [3667] #foamed,#foamus [3667] #foamed,#meded Top Word Pairs in Tweet in G4:
[1175] #foamrad,#foamed [1014] answer,#foamrad [847] #foamed,#foamrad [581] #orthotwitter,#medtwitter [573] covid,19 [568] #meded,#medtwitter [566] #gitwitter,#meded [555] check,out [429] sign,up [401] #meded,#foamed Top Word Pairs in Tweet in G5:
[532] #medtwitter,#medstudenttwitter [293] med,students [288] med,school [245] pre,meds [238] loan,forgiveness [216] #covid19,#medtwitter [212] nbmenow,theusmle [190] current,med [188] quite,few [171] few,admissions Top Word Pairs in Tweet in G6:
[676] #meded,#medtwitter [414] please,share [305] brought,light [299] need,reason [260] reason,#medtwitter [221] #medtwitter,aligned [195] aligned,against [185] against,administration [184] administration,thank [184] thank,those Top Word Pairs in Tweet in G7:
[180] #meded,#foamed [179] #dermtwitter,#medtwitter [172] #covidderm,visuals [170] visuals,australasian [170] australasian,college [170] college,dermatologists [170] dermatologists,#dermtwitter [170] central,venous [170] #foamed,#usmle [170] #foamed,#foamrad Top Word Pairs in Tweet in G8:
[755] #medtwitter,#medstudenttwitter [380] covid,19 [349] don,t [349] #medtwitter,#nursetwitter [349] #nursetwitter,#medtwitter [349] #doctors,#medtwitter [349] #neurology,#doctors [258] #medstudenttwitter,#medtwitter [258] hey,#medtwitter [217] #covid19,#medtwitter Top Word Pairs in Tweet in G9:
[59] #tweetorial,#medtwitter [56] 1,15 [47] 15,wonder [42] wonder,metronidazole [41] metronidazole,flagyl [32] flagyl,treats [29] treats,both [28] both,bacteria [25] bacteria,parasites [25] parasites,answer Top Word Pairs in Tweet in G10:
[572] don,t [372] early,intubation [372] social,media [372] please,don [372] t,tell [372] tell,social [372] media,upended [372] upended,#meded [372] #meded,twitter [372] twitter,youtube 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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Top Tweeters in G10: