The graph represents a network of 5,458 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, 20 December 2021 at 06:48 UTC.
The requested start date was Monday, 20 December 2021 at 01:01 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 2-day, 18-hour, 14-minute period from Tuesday, 14 December 2021 at 16:53 UTC to Friday, 17 December 2021 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 : 5458
Unique Edges : 4398
Edges With Duplicates : 13803
Total Edges : 18201
Number of Edge Types : 5
Retweet : 4649
MentionsInRetweet : 7010
Mentions : 3907
Tweet : 1548
Replies to : 1087
Self-Loops : 1620
Reciprocated Vertex Pair Ratio : 0.0397153945666235
Reciprocated Edge Ratio : 0.0763966654224213
Connected Components : 334
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 4426
Maximum Edges in a Connected Component : 14317
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.016402
Graph Density : 0.000269840096324554
Modularity : 0.404914
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,458 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, 20 December 2021 at 06:48 UTC.
The requested start date was Monday, 20 December 2021 at 01:01 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 2-day, 18-hour, 14-minute period from Tuesday, 14 December 2021 at 16:53 UTC to Friday, 17 December 2021 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:
[830] #medtwitter,#meded [675] more,medical [669] medical,news [486] #meded,#mednews [418] more,date [409] date,medical [406] eyle,yaşatma [384] medical,headlines [360] headlines,visit [355] illa,huuu Top Word Pairs in Tweet in G1:
[406] eyle,yaşatma [355] illa,huuu [329] hey,hak [294] kahhar,kahhar [294] kahhar,eyle [292] iç,diş [292] insi,cinsi [292] belalarini,eyle [222] huuu,yarabbi [220] yarabbi,receb Top Word Pairs in Tweet in G2:
[573] more,medical [568] medical,news [490] #medtwitter,#meded [462] #meded,#mednews [377] more,date [369] date,medical [348] medical,headlines [324] headlines,visit [196] visit,#medicalnews [188] #medicalnews,#medtwitter Top Word Pairs in Tweet in G3:
[99] #meded,#medtwitter [81] more,medical [80] #medtwitter,#meded [80] medical,news [45] analysis,decade [45] decade,#british [45] #british,press [45] press,#weight [45] #weight,#obesity [45] #obesity,#health Top Word Pairs in Tweet in G4:
[148] myositis,specific [148] specific,antibodies [148] antibodies,msas [148] msas,clinical [148] clinical,features [148] features,treatment [148] treatment,#myositis [148] #myositis,iim [148] iim,proximal [148] proximal,muscle Top Word Pairs in Tweet in G5:
[133] nephrop,#pocus [109] #meded,#impocus [105] #pocus,cardiac [105] cardiac,arrest [105] arrest,zones [105] zones,sono [105] sono,auscultation [105] auscultation,potential [105] potential,cardiovascular [105] cardiovascular,findings Top Word Pairs in Tweet in G6:
[74] #gitwitter,#meded [62] approach,high [62] high,output [62] output,stoma [62] stoma,#gitwitter [61] drkeithsiau,approach [18] reminder,ppis [18] ppis,same [18] same,ppi [18] ppi,conversion Top Word Pairs in Tweet in G7:
[87] published,cmijournal [87] cmijournal,jesusrbano [87] jesusrbano,evetacconelli [87] evetacconelli,escmid [87] escmid,guidelines [87] guidelines,treatment [87] treatment,infections [87] infections,caused [86] absteward,published [44] iuidfellowship,#idboardreview Top Word Pairs in Tweet in G8:
[201] #3d,#ar [201] #ar,future [201] future,#medical [201] #medical,#learning [201] #learning,#medtech [201] #medtech,#edtech [201] #edtech,#education [201] #education,#meded [201] #meded,#healthtech [201] #healthtech,#augmentedreality Top Word Pairs in Tweet in G9:
[21] #foamrad,#foamed [18] #foamed,#radiology [17] sometimes,imaging [17] imaging,beautiful [17] beautiful,serous [17] serous,cystadenoma [17] cystadenoma,pancreas [17] pancreas,#foamrad [17] #radiology,#hpb [17] #hpb,#surgery Top Word Pairs in Tweet in G10:
[17] #medtwitter,#meded [12] #meded,#medtwitter [8] #foamed,#meded [6] watch,rest [6] rest,#foamed [5] learn,more [4] #meded,#medical [4] premed,student [4] student,seeking [4] seeking,reliable 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:
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Top Tweeters in G10: