The graph represents a network of 2,573 Twitter users whose tweets in the requested range contained "doximity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 January 2019 at 23:53 UTC.
The requested start date was Wednesday, 16 January 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 75-day, 21-hour, 32-minute period from Thursday, 01 November 2018 at 00:02 UTC to Tuesday, 15 January 2019 at 21:34 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 : 2573
Unique Edges : 4648
Edges With Duplicates : 2121
Total Edges : 6769
Number of Edge Types : 3
Mentions : 5599
Tweet : 889
Replies to : 281
Self-Loops : 889
Reciprocated Vertex Pair Ratio : 0.057360519829711
Reciprocated Edge Ratio : 0.108497563043018
Connected Components : 477
Single-Vertex Connected Components : 372
Maximum Vertices in a Connected Component : 1830
Maximum Edges in a Connected Component : 5818
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.658158
Graph Density : 0.000713081594425663
Modularity : 0.545498
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[91] à,à [90] doctors,fleeing [89] fleeing,abusive [86] abusive,medicine [78] self,care [75] leaving,medicine [74] doctors,leaving [73] medicine,physicians [73] physicians,surgeons [73] surgeons,abused Top Word Pairs in Tweet in G1:
[49] medicine,doximity [46] opmed,medtwitter [46] doctors,fleeing [46] fleeing,abusive [46] abusive,medicine [41] med,students [38] take,look [37] narjustduma,diversity [37] diversity,good [37] good,tokenism Top Word Pairs in Tweet in G2:
[48] caribbean,immigrant [47] m,blackwomeninmedicine [47] blackwomeninmedicine,caribbean [47] immigrant,really [47] really,enjoyed [47] enjoyed,lin_manuel [47] lin_manuel,s [47] s,hamiltonmusical [47] hamiltonmusical,story [47] story,many Top Word Pairs in Tweet in G3:
[91] à,à [25] doctors,fleeing [24] fleeing,abusive [24] abusive,medicine [15] ˆà,à [14] 5,new [14] new,year's [14] year's,resolutions [14] resolutions,company [14] company,make Top Word Pairs in Tweet in G4:
[64] doctors,leaving [64] leaving,medicine [64] medicine,physicians [64] physicians,surgeons [64] surgeons,abused [64] abused,system [64] system,patient [63] leahhoustonmd,doctors [63] patient,worri [49] kksheld,rubraveenough Top Word Pairs in Tweet in G5:
[4] physicians,angels [4] angels,crowdfunding [4] crowdfunding,healthcare [3] kevinmd,doximity [3] irad,interventionalradiology [3] interventionalradiology,minimallyinvasivemedicine [3] minimallyinvasivemedicine,precisionmedicine [3] precisionmedicine,cnnhealth [3] cnnhealth,bbchealth [3] bbchealth,nythealth Top Word Pairs in Tweet in G6:
[18] doximity,csahq [16] dear,nra [16] nra,lane [16] csahq,emarianomd [16] emarianomd,dremilym [15] lane,doximity [15] dremilym,thisisourlane [14] karensibertmd,dear [14] thisisourlane,mentalhealt [9] anesthesia,outside Top Word Pairs in Tweet in G7:
[17] veteransday,thank [17] thank,those [17] those,stood [17] stood,gave [17] gave,privilege [17] privilege,caring [17] caring,talk [16] erdisasterdoc,veteransday [10] better,child [10] child,custody Top Word Pairs in Tweet in G8:
[30] don,t [30] t,need [30] need,self [30] self,care [30] care,need [30] need,boundaries [26] article,don [26] boundaries,makes [26] makes,wonder [26] wonder,perhaps Top Word Pairs in Tweet in G9:
[10] bradkeywell,uptake [8] u,s [8] national,award [8] award,winners [8] winners,bradkeywell [8] eoyus,award [8] award,winner [8] winner,jefftangney [8] jefftangney,keep [8] keep,more Top Word Pairs in Tweet in G10:
[9] hopeful,future [9] future,spinal [9] spinal,cord [9] cord,injury [9] injury,jrobertsmeded [9] jrobertsmeded,meded [6] ten,year [6] year,outcomes [6] outcomes,stents [6] stents,versus Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: