The graph represents a network of 2,155 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 Thursday, 21 March 2019 at 00:39 UTC.
The requested start date was Thursday, 21 March 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 78-day, 10-hour, 30-minute period from Tuesday, 01 January 2019 at 06:22 UTC to Wednesday, 20 March 2019 at 16:53 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 : 2155
Unique Edges : 3086
Edges With Duplicates : 2645
Total Edges : 5731
Number of Edge Types : 3
Mentions : 4648
Tweet : 704
Replies to : 379
Self-Loops : 704
Reciprocated Vertex Pair Ratio : 0.0609087979374799
Reciprocated Edge Ratio : 0.114823815309842
Connected Components : 453
Single-Vertex Connected Components : 327
Maximum Vertices in a Connected Component : 1357
Maximum Edges in a Connected Component : 4791
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.830159
Graph Density : 0.000709196940026326
Modularity : 0.486627
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[169] doximity,tnicholsmd [163] convertdcyclist,doximity [157] tnicholsmd,epa [156] choo_ek,convertdcyclist [151] darakass,choo_ek [138] yourfeminstboss,darakass [91] self,care [91] à,à [80] emrazz,yourfeminstboss [77] don,t Top Word Pairs in Tweet in G1:
[91] à,à [30] software,engineer [16] self,care [15] ˆà,à [14] à,ˆà [14] doximity,software [12] don,t [10] need,boundaries [9] t,need [8] need,self Top Word Pairs in Tweet in G2:
[24] software,engineer [21] check,out [17] new,remote [17] remote,job [16] physician,burnout [14] dr,google [13] google,liar [11] doximity,today [9] interview,doximity [9] engineer,ruby Top Word Pairs in Tweet in G3:
[38] plz,join [38] join,4 [38] 4,great [38] great,womeninmedicine [38] womeninmedicine,chat [38] chat,2nite [38] 2nite,feb [38] feb,10th [38] 10th,9 [38] 9,pm Top Word Pairs in Tweet in G4:
[6] doximity,know [6] know,40 [6] 40,doctors [6] doctors,marry [6] marry,another [6] another,doctor [6] doctor,healthcare [6] healthcare,professional [6] professional,amermedicalassn [6] amermedicalassn,explores Top Word Pairs in Tweet in G5:
[18] ohio,state [18] wexner,medical [18] medical,center [13] state,university [13] university,wexner [9] aga,regional [9] regional,practice [9] practice,skills [9] skills,workshop [9] workshop,ohio Top Word Pairs in Tweet in G6:
[169] doximity,tnicholsmd [163] convertdcyclist,doximity [157] tnicholsmd,epa [156] choo_ek,convertdcyclist [151] darakass,choo_ek [138] yourfeminstboss,darakass [80] emrazz,yourfeminstboss [58] flamemasterelan,yourfeminstboss [58] emrazz,flamemasterelan [33] flamemasterelan,emrazz Top Word Pairs in Tweet in G7:
[9] breastfeeding,physician [9] physician,mom [9] plots,unfold [9] unfold,symptoms [9] symptoms,enter [9] enter,characters [9] characters,bodies [9] bodies,setting [8] wonderful,essay [8] essay,challenges Top Word Pairs in Tweet in G8:
[40] don,t [40] t,need [40] need,self [40] self,care [40] care,need [40] need,boundaries [36] article,don [36] boundaries,makes [36] makes,wonder [36] wonder,perhaps Top Word Pairs in Tweet in G9:
[22] setting,boundaries [22] boundaries,means [22] means,pausing [22] pausing,whenever [22] whenever,anyone [22] anyone,asks [22] asks,something [22] something,remembering [22] remembering,three [22] three,choices Top Word Pairs in Tweet in G10:
[24] stand,up [23] begins,increased [23] increased,fear [23] fear,mongering [23] mongering,old [23] old,school [23] school,opioids [23] opioids,slick [23] slick,sales [23] sales,pitch 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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