The graph represents a network of 5,230 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, 04 October 2021 at 05:39 UTC.
The requested start date was Monday, 04 October 2021 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 3-day, 16-hour, 54-minute period from Wednesday, 29 September 2021 at 18:16 UTC to Sunday, 03 October 2021 at 11:10 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 : 5230
Unique Edges : 4649
Edges With Duplicates : 13518
Total Edges : 18167
Number of Edge Types : 5
Replies to : 843
Mentions : 3576
Retweet : 4769
MentionsInRetweet : 7472
Tweet : 1507
Self-Loops : 1582
Reciprocated Vertex Pair Ratio : 0.0444113633544225
Reciprocated Edge Ratio : 0.0850457298966623
Connected Components : 343
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 4069
Maximum Edges in a Connected Component : 15843
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.772079
Graph Density : 0.000307850723663113
Modularity : 0.40412
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,230 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, 04 October 2021 at 05:39 UTC.
The requested start date was Monday, 04 October 2021 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 3-day, 16-hour, 54-minute period from Wednesday, 29 September 2021 at 18:16 UTC to Sunday, 03 October 2021 at 11:10 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:
[711] #medtwitter,#meded [390] more,medical [388] medical,news [305] #idmeded,#meded [302] more,date [296] date,medical [272] medical,headlines [255] headlines,visit [248] #meded,#medtwitter [218] #idtwitter,#idmeded Top Word Pairs in Tweet in G1:
[50] #meded,#medtwitter [50] more,medical [50] medical,news [49] more,date [46] date,medical [36] medical,headlines [30] headlines,visit [26] #hmieducators,course [26] course,starts [26] starts,monday Top Word Pairs in Tweet in G2:
[101] #meded,#gitwitter [96] #livertwitter,#meded [94] types,colonic [94] colonic,resection [94] resection,#meded [94] #gitwitter,bmj_latest [93] drkeithsiau,types [90] interpretation,lfts [90] lfts,#livertwitter [89] drkeithsiau,interpretation Top Word Pairs in Tweet in G3:
[94] more,medical [92] medical,news [58] #medtwitter,#meded [42] more,date [39] #meded,#foamed [39] date,medical [31] medical,headlines [30] #cardiotwitter,#medtwitter [29] news,#cardiotwitter [27] #meded,#medtwitter Top Word Pairs in Tweet in G4:
[176] more,medical [176] medical,news [161] #medtwitter,#meded [95] #fire,#paramedic [82] #paramedic,#ambulance [82] #ambulance,#nhs [64] #nhs,#nursing [64] #nursing,#police [57] news,#oncology [57] #oncology,#medtwitter Top Word Pairs in Tweet in G5:
[61] congested,patients [61] patients,still [61] still,receive [61] receive,fluids [61] fluids,fail [61] fail,integrate [61] integrate,pieces [61] pieces,data [61] data,over [61] over,rely Top Word Pairs in Tweet in G6:
[263] #idmeded,#meded [184] #idtwitter,#idmeded [172] idsainfo,#idtwitter [150] #idweek2021,idsainfo [146] #idweek2021,idweek2021 [136] idweek2021,idsainfo [124] sairabt,#idweek2021 [52] idweek2021,#idtwitter [47] idsainfo,idweek2021 [38] outpatient,id Top Word Pairs in Tweet in G7:
[53] inside_thematch,#match2022 [36] join,boasting [36] boasting,club [36] club,excited [36] excited,#match2022 [36] #match2022,stressful [36] stressful,process [36] process,more [35] inside_thematch,join [35] more,applic Top Word Pairs in Tweet in G8:
[21] neuroradbites,axial [20] #radres,#meded [18] #foamed,#foamrad [17] #foamrad,#radres [17] #meded,theasnr [17] theasnr,arrs_radiology [17] temporal,lobe [16] neurologic,manifestations [16] manifestations,tuberculosis [16] tuberculosis,one Top Word Pairs in Tweet in G9:
[57] time,another [56] #neurotwitter,#meded [47] another,#endneurophobia [47] #endneurophobia,#tweetorial [47] #tweetorial,pupils [47] pupils,anisocoria [47] anisocoria,#medstudenttwitter [47] #medstudenttwitter,#neurotwitter [46] aaronlberkowitz,time [25] bonus,key Top Word Pairs in Tweet in G10:
[15] #medtwitter,#meded [9] #meded,#medical [8] watch,rest [8] rest,#foamed [8] #foamed,#meded [6] #meded,#medtwitter [6] #medical,education [4] medical,students [4] todays,word [4] #medschool,#medicalstudent Top Replied-To in Entire Graph:
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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:
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Top Tweeters in G10: