The graph represents a network of 1,428 Twitter users whose tweets in the requested range contained "#hcldr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 15 May 2019 at 17:57 UTC.
The requested start date was Monday, 13 May 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 18-minute period from Monday, 29 April 2019 at 00:42 UTC to Monday, 13 May 2019 at 00:00 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 : 1428
Unique Edges : 2950
Edges With Duplicates : 3713
Total Edges : 6663
Number of Edge Types : 3
Mentions : 5075
Replies to : 788
Tweet : 800
Self-Loops : 800
Reciprocated Vertex Pair Ratio : 0.120145631067961
Reciprocated Edge Ratio : 0.214517876489707
Connected Components : 54
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 1314
Maximum Edges in a Connected Component : 6527
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.087295
Graph Density : 0.0018117968981566
Modularity : 0.344996
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[87] #hcldr,#hitsm [69] #digitalhealth,#hcldr [61] don,t [60] #pinksocks,#hcldr [60] icymi,gt [57] #hcldr,#pinksocks [57] #hcldr,chat [50] iâ,m [49] doctor's,orders [45] health,care Top Word Pairs in Tweet in G1:
[46] #pinksocks,#hcldr [40] don,t [34] #hcldr,#pinksocks [33] doctor's,orders [28] palliative,care [24] t1,medicine [24] medicine,art [24] art,exists [24] exists,much [24] much,don Top Word Pairs in Tweet in G2:
[77] #hcldr,#hitsm [57] #digitalhealth,#hcldr [54] icymi,gt [40] healthcare,#digitalhealth [38] radhachitale,marioatx_md [37] #hcldr,chat [34] harlow,healthcare [32] storybrand,a16z [30] a16z,radiolab [29] iâ,m Top Word Pairs in Tweet in G3:
[28] #icanseeformiles,#hcldr [26] #mentalhealth,#icanseeformiles [17] health,care [11] high,school [10] #hcsm,#hcldr [9] learn,more [9] #ptsafety,#patientsafety [8] better,feel [8] feel,uncomfortable [8] everyone,together Top Word Pairs in Tweet in G4:
[15] #cmio,#cnio [9] #cnio,#healthit [7] medical,records [7] #awesome,team [7] team,m [7] m,honored [7] honored,part [7] part,please [7] please,join [7] join,#wclc2019 Top Word Pairs in Tweet in G5:
[4] nathangrunewald,thread [4] thread,great [4] great,summary [4] summary,#physician [4] #physician,#burnout [4] #burnout,massmedical [4] massmedical,mahealthhosp [4] mahealthhosp,harvardchansph [4] harvardchansph,several [4] several,key Top Word Pairs in Tweet in G6:
[11] #himss19,takeaways [11] takeaways,time [11] time,implement [11] implement,himss [11] himss,innonurse [11] innonurse,gt [11] gt,#nurses4hit [11] #nurses4hit,#nursesweek [10] innonurse,#himss19 [10] #nursesweek,#digi Top Word Pairs in Tweet in G7:
[8] nickisnpdx,joebabaian [8] joebabaian,colin_hung [6] looking,forward [6] forward,#qlik [6] #qlik,#qonnections [6] #qonnections,2019 [6] 2019,dallas [6] dallas,hope [6] hope,join [6] join,hear Top Word Pairs in Tweet in G8:
[4] mkatewarnock,love [4] love,digital [4] digital,transformation [4] transformation,much [4] much,more [4] more,skill [4] skill,profkane [4] profkane,h [4] h,t [4] t,lucienengelen Top Word Pairs in Tweet in G9:
[6] important,new [6] new,research [6] research,communicate [6] communicate,#healthcare [6] #healthcare,costs [6] costs,oncology [6] oncology,care [6] care,primary [6] primary,care [6] care,visits Top Word Pairs in Tweet in G10:
[4] created,automatic [4] automatic,personalized [4] personalized,#migraine [4] #migraine,diary [4] diary,passively [4] passively,collects [4] collects,data [4] data,predicts [4] predicts,#migraines [4] #migraines,w 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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