The graph represents a network of 13 891 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 Tuesday, 28 March 2023 at 09:28 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 45-minute period from Sunday, 26 March 2023 at 13:44 UTC to Tuesday, 28 March 2023 at 08:30 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 : 13891
Unique Edges : 21880
Edges With Duplicates : 6476
Total Edges : 28356
Number of Edge Types : 5
Tweet : 2054
Retweet : 15923
MentionsInRetweet : 8456
Replies to : 139
Mentions : 1784
Self-Loops : 2145
Reciprocated Vertex Pair Ratio : 0,00715163215163215
Reciprocated Edge Ratio : 0,0142016989762579
Connected Components : 820
Single-Vertex Connected Components : 402
Maximum Vertices in a Connected Component : 11920
Maximum Edges in a Connected Component : 25485
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4,457558
Graph Density : 0,000118971117254108
Modularity : 0,690549
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 13 891 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 Tuesday, 28 March 2023 at 09:28 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 45-minute period from Sunday, 26 March 2023 at 13:44 UTC to Tuesday, 28 March 2023 at 08:30 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[6685] life,expectancy [3342] lower,cuba [3342] lebanon,chechnya [3342] expectancy,plummeting [3342] expectancy,lower [3342] cuba,lebanon [3342] chechnya,#medtwitter [3342] stunning,american [3342] american,life [3342] graphic,stunning Top Word Pairs in Tweet in G1:
[6618] life,expectancy [3309] cuba,lebanon [3309] expectancy,plummeting [3309] chechnya,#medtwitter [3309] graphic,stunning [3309] plummeting,graphic [3309] stunning,american [3309] lower,cuba [3309] american,life [3309] americans,life Top Word Pairs in Tweet in G2:
[1818] #meded,#medtwitter [682] #medtwitter,#foamed [544] #foamed,#meded [356] #medtwitter,#meded [326] types,lung [326] lung,inflammation [326] inflammation,docscribbles [312] #anatomy,#medicine [306] #medicaleducation,#medicalstudents [290] #cardiotwitter,#cardiology Top Word Pairs in Tweet in G3:
[934] #anatomy,#medicine [892] #meded,#anatomy [870] #cardiotwitter,#cardiology [870] #cardiology,#cardioed [829] #cardioed,#cardiovascular [829] #medicine,#cardiotwitter [512] #meded,#medtwitter [493] #medtwitter,#meded [481] #medtwitter,#medstudenttwitter [297] #neurotwitter,#meded Top Word Pairs in Tweet in G4:
[165] र,ल [142] ल,म [141] य,ह [141] द,य [141] ख,ल [137] ड,क [137] क,टर [119] #notorth,#medtwitter [119] क,र [114] प,र Top Word Pairs in Tweet in G5:
[410] oftalmopo,grepmeded [410] cataract,like [410] grepmeded,#medtwitter [410] like,oftalmopo [257] wild,view [257] view,cataract [160] challenging,clinical [160] #medtwitter,#neurotwitter [160] nmatch2023,rabihmgeha [160] caseyalbin,avrahamcoopermd Top Word Pairs in Tweet in G6:
[987] #neuroscience,#medtwitter [383] nature,#neuroscience [381] source,nature [153] cerebellum,credits [152] pain,source [122] purkinje,cells [121] cells,mouse [121] barti,#neuroscience [121] credits,benjamin [121] pretty,purkinje Top Word Pairs in Tweet in G7:
[56] #medtwitter,#academictwitter [56] #medtwitter,#meded [54] #edtech,#fmge2023 [54] sumersethi,deepti_bahl [54] #fmge2023,#neetpg2023 [54] #academictwitter,sumersethi [54] #inicet2023,#medtwitter [54] #damsdelhi,#edtech [54] #neetpg2023,#inicet2023 [54] #emedicoz,#damsdelhi Top Word Pairs in Tweet in G8:
[189] #meded,#medtwitter [95] #medtwitter,#meded [69] #cardiotwitter,#medtwitter [63] #medtwitter,#cardiotwitter [58] #medtwitter,#criticalcare [56] im_crit_,andresvwt [56] #hospitalist,#heartfailure [56] #pulmonary,#cardiotwitter [56] andresvwt,#meded [56] #cardiotwitter,im_crit_ Top Word Pairs in Tweet in G9:
[30] #medtwitter,#medicine [27] #anesthesia,#anesthesiology [27] #cardiology,#medicine [27] #medicine,#anatomyandphysiology [27] #anatomyandphysiology,#countbackwardsfrom10 [27] #countbackwardsfrom10,#anesthesia [27] #anesthesiology,#medtwitter [27] #foamed,#cardiology [25] #medtwitter,#meded [24] #doctors,#medtwitter Top Word Pairs in Tweet in G10:
[125] dysbiosis,#medtwitter [123] #psychiatry,#braingut [123] depression,associated [123] #medtwitter,#psychiatry [123] associated,dysbiosis [123] #braingut,#microbiome [68] #meded,#medtwitter [50] anca,propósito [50] de,vasculitis [50] eular,2022 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:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: