The graph represents a network of 10,798 Twitter users whose recent tweets contained "#medtwitter", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 07 December 2019 at 22:10 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 47-minute period from Thursday, 28 November 2019 at 17:52 UTC to Saturday, 07 December 2019 at 21:39 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 : 10798
Unique Edges : 21193
Edges With Duplicates : 5753
Total Edges : 26946
Self-Loops : 2717
Reciprocated Vertex Pair Ratio : 0.0295767950546838
Reciprocated Edge Ratio : 0.0574542767411786
Connected Components : 907
Single-Vertex Connected Components : 557
Maximum Vertices in a Connected Component : 9050
Maximum Edges in a Connected Component : 24752
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.156221
Graph Density : 0.000185716971897982
Modularity : 0.682128
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 10,798 Twitter users whose recent tweets contained "#medtwitter", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 07 December 2019 at 22:10 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 47-minute period from Thursday, 28 November 2019 at 17:52 UTC to Saturday, 07 December 2019 at 21:39 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 : TwitterSearch
Graph Term : #medtwitter
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 Entire Graph:
[846] #meded,#foamed [739] #meded,#medtwitter [728] type,2 [724] 2,diabetes [619] #usmle,#medtwitter [612] #foamed,#usmle [576] medical,students [561] #medtwitter,#meded [558] med,students [532] better,#medtwitter Top Word Pairs in Tweet in G1:
[222] #meded,#medtwitter [136] #medtwitter,#meded [88] #medtwitter,#somedocs [76] #meded,#foamed [73] #medtwitter,#medstudenttwitter [62] hey,#medtwitter [57] #somedocs,#medtwitter [55] don,t [47] #medtwitter,#epitwitter [42] #womeninmedicine,#medtwitter Top Word Pairs in Tweet in G2:
[142] #orthotwitter,#medtwitter [112] xr,neg [110] #medtwitter,#foamed [106] #medtwitter,#orthotwitter [84] elson,test [69] #medtwitter,#meded [67] central,slip [60] #medtwitter,#some [57] 1,3 [57] examine,patient Top Word Pairs in Tweet in G3:
[331] #cardiotwitter,#medtwitter [92] #medtwitter,#foamed [86] #meded,#medtwitter [78] #echofirst,#cardiotwitter [77] diagnosis,#cardiotwitter [75] #medtwitter,ase360 [74] #openaccess,#ehjcasereports [74] #ehjcasereports,#esccot [74] #esccot,#escardioed [61] #ecg,smithecgblog Top Word Pairs in Tweet in G4:
[35] #medtwitter,#medstudenttwitter [24] don,t [17] #medstudenttwitter,suggested [17] suggested,answer [15] #nursetwitter,#medtwitter [11] hey,#medtwitter [10] #medtwitter,#meded [9] #meded,#medtwitter [9] #medtwitter,#nursetwitter [7] medical,school Top Word Pairs in Tweet in G5:
[459] med,students [455] students,3x [455] 3x,more [455] more,suicide [455] suicide,counterparts [455] counterparts,general [455] general,population [455] population,three [455] three,times [455] times,more Top Word Pairs in Tweet in G6:
[360] #idtwitter,#medtwitter [117] critically,ill [116] new,alexist [116] alexist,marcleone8 [116] marcleone8,garnachojose [116] garnachojose,jeroenschouten3 [116] jeroenschouten3,drjordirello [116] drjordirello,jasonroberts_pk [116] jasonroberts_pk,youricm [116] youricm,antimicrobial Top Word Pairs in Tweet in G7:
[546] #meded,#foamed [539] #foamed,#usmle [539] #usmle,#medtwitter [147] differential,diagnosis [122] fever,#meded [98] diagnosis,noninfectious [98] noninfectious,causes [98] causes,fever [79] nephron,physiology [79] physiology,#meded Top Word Pairs in Tweet in G8:
[701] type,2 [701] 2,diabetes [382] #medthread,#tweetorial [382] #tweetorial,#medtwitter [350] 1,16 [350] 16,wondered [350] wondered,doctors [350] doctors,people [350] people,type [350] diabetes,getting Top Word Pairs in Tweet in G9:
[94] #medtwitter,#academicchatter [91] retweet,s [88] #academicchatter,#phdchat [84] #phdchat,academicchatter [84] academicchatter,#somedocs [83] #followfriday,#medtwitter [81] 4,follow [81] follow,everyone [81] everyone,5 [81] 5,retweet Top Word Pairs in Tweet in G10:
[409] clinical,medicine [224] cognitive,biases [206] #medstudents,#cognitivebias [206] #cognitivebias,#diagnosticerrors [205] biases,clinical [204] 1,cognitive [204] cognitive,bias [204] bias,clinical [204] medicine,love [204] love,teaching Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
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: