The graph represents a network of 6,716 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, 03 August 2020 at 05:21 UTC.
The requested start date was Monday, 03 August 2020 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 5-day, 14-hour, 12-minute period from Monday, 27 July 2020 at 21:49 UTC to Sunday, 02 August 2020 at 12:01 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 : 6716
Unique Edges : 5830
Edges With Duplicates : 13377
Total Edges : 19207
Number of Edge Types : 5
Mentions : 4170
Tweet : 1492
Retweet : 5308
MentionsInRetweet : 7887
Replies to : 350
Self-Loops : 1581
Reciprocated Vertex Pair Ratio : 0.0455057907143589
Reciprocated Edge Ratio : 0.0870502891873346
Connected Components : 481
Single-Vertex Connected Components : 188
Maximum Vertices in a Connected Component : 5283
Maximum Edges in a Connected Component : 16510
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.991635
Graph Density : 0.000226196584589008
Modularity : 0.47337
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,716 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, 03 August 2020 at 05:21 UTC.
The requested start date was Monday, 03 August 2020 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 5-day, 14-hour, 12-minute period from Monday, 27 July 2020 at 21:49 UTC to Sunday, 02 August 2020 at 12:01 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:
[364] #meded,#foamed [295] #meded,#medtwitter [286] #medtwitter,#meded [201] #cardiotwitter,#cardioed [187] #cardioed,#meded [180] med,students [179] #foamed,#meded [153] #foamed,#medtwitter [147] covid,19 [133] medical,schools Top Word Pairs in Tweet in G1:
[75] #meded,#medtwitter [43] #medtwitter,#meded [35] clinicalteacher,#meded [33] #foamed,#meded [28] #meded,#foamed [28] #meded,#medicalstudents [27] medical,student [26] covid,19 [23] medical,education [22] looking,forward Top Word Pairs in Tweet in G2:
[19] preparing,#virtual [19] #virtual,interviews [19] interviews,workshop [19] workshop,michelle [19] michelle,delair [19] delair,washufwim [19] washufwim,thread [19] thread,covering [19] covering,technology [18] rakheebhayanimd,preparing Top Word Pairs in Tweet in G3:
[191] #cardiotwitter,#cardioed [180] #cardioed,#meded [104] read,full [92] full,#cardiotwitter [39] #cvbootcamp2020,agenda [39] 45,cst [37] nadeenfaza,#cvbootcamp2020 [33] social,media [32] #meded,#cardioed [32] escardio,#esccongress Top Word Pairs in Tweet in G4:
[247] #meded,#foamed [131] #foamed,#medtwitter [77] #medtwitter,#usmle [74] diagnosis,#meded [73] differential,diagnosis [70] hypokalemia,differential [69] manualomedicine,hypokalemia [64] #foamed,#cardioed [64] heart,failure [58] pathophysiologic,mechanisms Top Word Pairs in Tweet in G5:
[41] subarachnoid,space [40] cortical,vein [40] vein,sign [40] sign,superficial [40] superficial,cortical [40] cortical,veins [40] veins,traversing [40] traversing,subarachnoid [40] space,useful [40] useful,distinguishing Top Word Pairs in Tweet in G6:
[32] bonus,key [32] key,point [32] point,article [32] nervous,system [25] continuumaan,bonus [24] system,dr [23] #medtwitter,#meded [21] article,commonly [21] commonly,used [21] used,drugs Top Word Pairs in Tweet in G7:
[16] #meded,#medtwitter [14] #medtwitter,#meded [5] #meded,#foamed [4] med,students [4] #medtwitter,#medstudenttwitter [4] #highered,#meded [4] #meded,#facdev [3] #meded,#medicaleducation [3] #foamed,#meded [3] #meded,#medstudenttwitter Top Word Pairs in Tweet in G8:
[21] #foamed,#meded [20] hi,twitter [20] twitter,group [20] group,med [20] med,students [20] students,started [20] started,#decolonising [20] #decolonising,medical [20] medical,curriculum [20] curriculum,reading Top Word Pairs in Tweet in G9:
[76] morning,report [76] report,question [73] nejmres360,morning [51] coffee,caffeine [42] question,known [42] known,neurological [42] neurological,effects [42] effects,coffee [42] caffeine,consumption [41] consumption,#medstudenttwitte Top Word Pairs in Tweet in G10:
[46] mcw_nephrology,#meded [45] #meded,day [45] day,#aki [45] #aki,volume [45] volume,depletion [45] depletion,'congestive [45] 'congestive,aki' [45] aki',underappreciated [45] underappreciated,fluids [45] fluids,make Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: