The graph represents a network of 12,854 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 Wednesday, 30 November 2022 at 19:55 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 6-minute period from Monday, 28 November 2022 at 05:47 UTC to Wednesday, 30 November 2022 at 18:53 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 : 12854
Unique Edges : 26935
Edges With Duplicates : 22603
Total Edges : 49538
Number of Edge Types : 5
Retweet : 14452
MentionsInRetweet : 25605
Tweet : 2957
Mentions : 5521
Replies to : 1003
Self-Loops : 3130
Reciprocated Vertex Pair Ratio : 0.0148501723680721
Reciprocated Edge Ratio : 0.0292657434021427
Connected Components : 1298
Single-Vertex Connected Components : 718
Maximum Vertices in a Connected Component : 9845
Maximum Edges in a Connected Component : 44870
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.16941
Graph Density : 0.00018531289728011
Modularity : 0.537424
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 12,854 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 Wednesday, 30 November 2022 at 19:55 UTC.
The tweets in the network were tweeted over the 2-day, 13-hour, 6-minute period from Monday, 28 November 2022 at 05:47 UTC to Wednesday, 30 November 2022 at 18:53 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2662] #meded,#medtwitter [1208] #neuroscience,#medtwitter [1191] #medtwitter,#meded [912] nmc_ind,mohfw_india [874] year,old [871] mohfw_india,mansukhmandviya [855] mansukhmandviya,officeof_mm [843] #medtwitter,#stoptargettingfmg [815] narendramodi,pmoindia [811] officeof_mm,narendramodi Top Word Pairs in Tweet in G1:
[1657] #meded,#medtwitter [746] year,old [548] #health,#healthcare [509] diagnosis,#medtwitter [462] #foamed,#clinicalpearl [462] #clinicalpearl,#clinicaltips [460] #medtwitter,#medicine [460] #clinicaltips,#medstudents [458] #medicine,#medical [458] #medical,#medicare Top Word Pairs in Tweet in G2:
[912] nmc_ind,mohfw_india [871] mohfw_india,mansukhmandviya [855] mansukhmandviya,officeof_mm [843] #medtwitter,#stoptargettingfmg [814] narendramodi,pmoindia [811] officeof_mm,narendramodi [810] faima_india_,official_aimsa [810] pmoindia,faima_india_ [795] official_aimsa,imajdnnational [786] unitedrda,udaindia Top Word Pairs in Tweet in G3:
[981] #neuroscience,#medtwitter [462] nature,#neuroscience [411] male,female [382] pain,differently [382] mice,dealt [382] dealt,pain [382] differently,nature [382] female,mice [200] stress,brain [200] brain,sciam Top Word Pairs in Tweet in G4:
[332] #medtwitter,#meded [291] #meded,#mednews [291] #medpub,#medtwitter [49] #meded,#medtwitter [43] #medtwitter,#medstudenttwitter [17] #foamed,#meded [17] cancer,#medpub [16] #tipsfornewdocs,#fy1 [16] #medstudenttwitter,#tipsfornewdocs [14] #anp,#nurses Top Word Pairs in Tweet in G5:
[550] #meded,#medtwitter [291] #scicomm,#academictwitter [278] works,#meded [182] #academictwitter,#biology [179] #livertwitter,#gut [179] #medtwitter,#liver [179] #gitwitter,#gastroenterology [179] #gastroenterology,#scicomm [179] #gut,#gitwitter [179] #liver,#livertwitter Top Word Pairs in Tweet in G6:
[125] opinion,#medtwitter [125] hour,opinion [125] opinion,need [125] need,hour [82] increase,risk [82] older,people [73] #medtwitter,#neurotwitter [68] year,old [59] becoming,smaller [59] patient,busy Top Word Pairs in Tweet in G7:
[86] #medtwitter,#hcwvshunger [79] #pathtwitter,#medtwitter [68] acweyand,tmprowell [61] food,bank [45] cc,acweyand [38] bank,hunger [36] 2x,match [32] #hcwvshunger,#medtwitter [32] doesn,help [32] know,doesn Top Word Pairs in Tweet in G8:
[224] blood,mri [124] #rsna2022,#rsna22 [115] #radtwitter,#rsna2022 [114] #neurosurgery,#neurology [114] #meded,#neurotwitter [112] #neurology,#meded [112] #tweetorial,date [112] #radres,#neurosurgery [112] dicey,both [112] #medtwitter,#neurorad Top Word Pairs in Tweet in G9:
[145] #cardiotwitter,#medtwitter [120] #medtwitter,#cardiotwitter [118] drmarthagulati,hragy [78] jagsinghmd,prashsanders [78] #ecg,#medtwitter [76] ecgtalk,csheartresearch [76] rafavidalperez,jagsinghmd [76] high,risk [76] prashsanders,martinkstiles [76] silcastelletti,rafavidalperez Top Word Pairs in Tweet in G10:
[67] #gitwitter,#medtwitter [56] #livertwitter,#medtwitter [52] colleague,dr [52] dr,paul [52] weekend,#gitwitter [52] friend,colleague [52] #toronto,robertbechara [52] passing,beloved [52] kortan,past [52] smh_gi,news Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Tweeters in G9:
Top Tweeters in G10: