The graph represents a network of 6,901 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, 31 August 2020 at 05:19 UTC.
The requested start date was Monday, 31 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 10-day, 7-hour, 0-minute period from Thursday, 20 August 2020 at 15:05 UTC to Sunday, 30 August 2020 at 22:06 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 : 6901
Unique Edges : 5452
Edges With Duplicates : 13345
Total Edges : 18797
Number of Edge Types : 5
Retweet : 5384
MentionsInRetweet : 7859
Replies to : 309
Mentions : 3702
Tweet : 1543
Self-Loops : 1618
Reciprocated Vertex Pair Ratio : 0.0414287197591112
Reciprocated Edge Ratio : 0.0795613160518445
Connected Components : 527
Single-Vertex Connected Components : 210
Maximum Vertices in a Connected Component : 5420
Maximum Edges in a Connected Component : 15705
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.019504
Graph Density : 0.000210639499841443
Modularity : 0.480469
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,901 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, 31 August 2020 at 05:19 UTC.
The requested start date was Monday, 31 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 10-day, 7-hour, 0-minute period from Thursday, 20 August 2020 at 15:05 UTC to Sunday, 30 August 2020 at 22:06 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:
[444] #meded,#foamed [399] #medtwitter,#meded [382] #meded,#medtwitter [317] #meded,give [315] doctors,vote [315] vote,less [315] less,profession [315] profession,afford [315] afford,sit [315] sit,one Top Word Pairs in Tweet in G1:
[86] #meded,#medtwitter [86] #medtwitter,#meded [42] #meded,#foamed [42] #foamed,#meded [34] covid,19 [26] please,visit [22] #medtwitter,#medstudenttwitter [21] #meded,#medstudenttwitter [21] learn,more [20] #meded,#healthcare Top Word Pairs in Tweet in G2:
[38] medical,education [34] #meded,#hpe [33] #amee2020,virtual [32] virtual,conference [31] don,miss [30] #meded,#medtwitter [24] one,minute [24] minute,teaching [22] interested,#meded [21] global,perspectives Top Word Pairs in Tweet in G3:
[288] #meded,#foamed [100] #foamed,#medtwitter [99] causes,#meded [96] manualomedicine,acute [95] acute,kidney [95] kidney,injury [95] injury,causes [95] #medtwitter,#nephrology [84] #foamed,#usmle [84] #usmle,#medtwitter Top Word Pairs in Tweet in G4:
[293] doctors,vote [293] vote,less [293] less,profession [293] profession,afford [293] afford,sit [293] sit,one [293] one,challenge [293] challenge,#meded [293] #meded,give [293] give,residents Top Word Pairs in Tweet in G5:
[84] #cardioed,#meded [78] #cardiotwitter,#cardioed [71] #medtwitter,#meded [70] #cardiotwitter,#medtwitter [59] read,full [55] full,#cardiotwitter [17] #meded,#cardioed [16] heart,failure [13] 30,cest [12] philips,buy Top Word Pairs in Tweet in G6:
[18] #meded,#medtwitter [14] #medtwitter,#meded [9] meded,ey [6] #meded,#foamed [6] #medtwitter,#medstudenttwitter [6] yalnız,sana [5] #meded,#medstudenttwitter [5] ı,muharrem [5] medical,education [5] dilâ,geldi Top Word Pairs in Tweet in G7:
[37] #cincypedsneurocase,weekend [37] weekend,slide [37] slide,history [37] history,images [37] images,presentation [37] presentation,slide [37] slide,annotated [37] annotated,images [28] #meded,#radres [22] pedineurorad,#cincypedsneurocase Top Word Pairs in Tweet in G8:
[47] #foamed,#meded [37] #medtwitter,#meded [36] #nephronotes,#nephpearls [34] #nephpearls,#foamed [34] #foamed,#medtwitter [23] case,#hyperkalemia [23] #hyperkalemia,#infographic [23] #infographic,#foamed [22] neph_sim,case [21] doi,10 Top Word Pairs in Tweet in G9:
[127] today's,#meded [127] #meded,rectal [127] rectal,bleeding [127] bleeding,adults [127] adults,colorectal [127] colorectal,cancer [127] cancer,until [127] until,proven [127] proven,otherwise [127] otherwise,patient Top Word Pairs in Tweet in G10:
[82] #orthotwitter,#meded [81] surgical,anatomy [81] anatomy,education [81] education,2020 [81] 2020,true [81] true,#surgerytwitter [81] #surgerytwitter,#orthotwitter [81] #meded,#medtwitter [80] drleerubin,surgical [80] #medtwitter,#med Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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