The graph represents a network of 6,055 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 Monday, 09 May 2022 at 05:53 UTC.
The requested start date was Monday, 09 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 11-hour, 13-minute period from Tuesday, 03 May 2022 at 23:54 UTC to Sunday, 08 May 2022 at 11:08 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 : 6055
Unique Edges : 4361
Edges With Duplicates : 12731
Total Edges : 17092
Number of Edge Types : 5
Retweet : 5120
MentionsInRetweet : 7108
Replies to : 384
Mentions : 2719
Tweet : 1761
Self-Loops : 1842
Reciprocated Vertex Pair Ratio : 0.0476073014306857
Reciprocated Edge Ratio : 0.0908876854250059
Connected Components : 597
Single-Vertex Connected Components : 232
Maximum Vertices in a Connected Component : 4150
Maximum Edges in a Connected Component : 13503
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.900813
Graph Density : 0.000231715823757392
Modularity : 0.465741
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,055 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 Monday, 09 May 2022 at 05:53 UTC.
The requested start date was Monday, 09 May 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 11-hour, 13-minute period from Tuesday, 03 May 2022 at 23:54 UTC to Sunday, 08 May 2022 at 11:08 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1174] #medtwitter,#meded [470] #meded,#usmle [469] more,medical [458] #meded,#medtwitter [456] medical,news [428] #meded,#mednews [366] #foamed,#meded [336] more,date [327] date,medical [309] medical,headlines Top Word Pairs in Tweet in G1:
[405] #meded,#usmle [332] #medtwitter,#meded [235] #foamed,#meded [213] #usmle,#razausmlemnemonics [209] #medtwitter,#foamed [151] usmle_mnemonics,management [150] management,hypertensive [150] hypertensive,crisis [150] crisis,#medtwitter [103] nausea,vomiting Top Word Pairs in Tweet in G2:
[124] pulmonary,embolism [119] #pocus,#impocus [115] schematic,#echofirst [115] #echofirst,findings [115] findings,acute [115] acute,pulmonary [115] embolism,co [115] co,kpkjvnvb9l [115] kpkjvnvb9l,#pocus [115] #impocus,#meded Top Word Pairs in Tweet in G3:
[167] #meded,#gitwitter [94] scoring,malnutrition [94] malnutrition,universal [94] universal,screening [94] screening,tool [94] tool,simple [94] simple,intervention [94] intervention,really [92] really,saves [92] saves,lives Top Word Pairs in Tweet in G4:
[47] #idtwitter,#meded [46] gram,positive [46] positive,rods [46] rods,gpr [46] gpr,abcd [46] abcd,lrns [46] lrns,facilities [46] facilities,maldi [46] maldi,tof [46] tof,available Top Word Pairs in Tweet in G5:
[27] #meded,#hpe [21] hear,know [21] know,see [21] see,remember [21] remember,understand [21] understand,confucius [21] confucius,#education [21] #education,#teachers [21] #teachers,#cme [21] #cme,#meded Top Word Pairs in Tweet in G6:
[43] #medtwitter,#meded [41] #meded,#healthcare [30] #meded,#medtwitter [30] #meded,#foamed [26] hospital,medical [26] medical,center [25] link,bio [25] dr,notes [25] notes,#meded [25] #meded,#like Top Word Pairs in Tweet in G7:
[46] #meded,#medtwitter [23] matching,radiology [21] awanrad,matching [21] radiology,img [21] img,kghabili [21] kghabili,#meded [21] #medtwitter,img_advocate [21] johnshopkins,ihmjhu [21] ihmjhu,hopkinsmedicine [21] hopkinsmedicine,reckoning Top Word Pairs in Tweet in G8:
[16] #meded,#medtwitter [11] medical,students [11] #medtwitter,#meded [10] ðÿž,ðÿž [8] trust,medicine [8] medicine,key [8] key,amsanational [8] amsanational,abimfoundation [8] abimfoundation,looking [8] looking,stories Top Word Pairs in Tweet in G9:
[70] facial,nerve [70] nerve,greatest [70] greatest,challenge [70] challenge,mr [70] mr,neurography [70] neurography,small [70] small,size [70] size,surrounding [70] surrounding,parotid [70] parotid,tissue Top Word Pairs in Tweet in G10:
[28] cerebral,amyloid [28] amyloid,angiopathy [21] #meded,#medtwitter [20] #bjhm,#hospitalmedicine [19] #hospitalmedicine,#meded [18] #meded,#cardiotwitter [16] the_nanashi_o,doctor_roig [16] ecgfan,didlakedw [16] didlakedw,ecgrhythms [16] amyloid,spells Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G9:
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 G5:
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Top Tweeters in G10: