The graph represents a network of 456 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 Tuesday, 15 February 2022 at 19:24 UTC.
The requested start date was Tuesday, 15 February 2022 at 01:01 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 13-day, 22-hour, 38-minute period from Tuesday, 01 February 2022 at 01:12 UTC to Monday, 14 February 2022 at 23:51 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 : 456
Unique Edges : 610
Edges With Duplicates : 2940
Total Edges : 3550
Number of Edge Types : 5
Mentions : 729
MentionsInRetweet : 1284
Retweet : 729
Replies to : 416
Tweet : 392
Self-Loops : 398
Reciprocated Vertex Pair Ratio : 0.180685358255452
Reciprocated Edge Ratio : 0.306068601583113
Connected Components : 43
Single-Vertex Connected Components : 22
Maximum Vertices in a Connected Component : 345
Maximum Edges in a Connected Component : 3361
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.559976
Graph Density : 0.00548004626951995
Modularity : 0.215982
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 456 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 Tuesday, 15 February 2022 at 19:24 UTC.
The requested start date was Tuesday, 15 February 2022 at 01:01 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 13-day, 22-hour, 38-minute period from Tuesday, 01 February 2022 at 01:12 UTC to Monday, 14 February 2022 at 23:51 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 : #hcldr
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:
[68] #hcldr,#hitsm [64] icymi,gt [60] harlow,healthcare [57] #digitalhealth,#hcldr [56] healthcare,#digitalhealth [51] staffing,crisis [32] drive,perfection [29] healthcare,workers [28] hcldr,t2 [28] end,life Top Word Pairs in Tweet in G1:
[33] staffing,crisis [26] drive,perfection [26] healthcare,workers [25] end,life [23] hcldr,t2 [20] #hcldr,chat [19] perfection,healthcare [18] #hcldr,t2 [17] week,#hcldr [17] hcldr,time Top Word Pairs in Tweet in G2:
[16] #hitmc,#hcldr [14] techguy,colin_hung [14] colin_hung,#hitmc [10] pophealth,week [10] week,hosts [10] hosts,fred [10] fred,goldstein [10] goldstein,gregg [10] gregg,masters [10] masters,talk Top Word Pairs in Tweet in G3:
[28] power,#press [28] #press,#healthcare [24] mobihealthtimes,power [12] staffing,crisis [10] #healthcare,journalists [10] journalists,kpck [10] kpck,kristie [10] kristie,kuhl [10] kuhl,#health [10] #health,practice Top Word Pairs in Tweet in G4:
[9] health,data [6] special,publication [6] case,studies [5] thenamedicine,special [4] data,sharing [4] public,health [3] happy,see [3] see,abnermason [3] abnermason,quoted [3] quoted,lovely Top Word Pairs in Tweet in G5:
[64] icymi,gt [60] harlow,healthcare [56] healthcare,#digitalhealth [55] #digitalhealth,#hcldr [52] #hcldr,#hitsm [14] healthblawg,icymi [7] save,life [5] health,harlow [5] #dtx,harlow [5] #healthcare,#innovation Top Word Pairs in Tweet in G6:
[5] #hcldr,#hcsm [4] #meded,#hcldr [4] #hcldr,#hitsm [4] #hitsm,#hpm [4] #hpm,#lcsm [4] #lcsm,#btsm [4] #btsm,#hcsmsa [3] health,care [3] #compcaremedical,#healthcare [3] #healthcare,#bcsm Top Word Pairs in Tweet in G7:
[3] colin_hung,barbyingle [2] docapplebaum,friends [2] friends,develop [2] develop,ptsd [2] ptsd,#familycaregiving [2] #familycaregiving,help [2] help,ppl [2] ppl,recognize [2] recognize,signs [2] signs,sooner Top Word Pairs in Tweet in G8:
[12] health,care [5] #hcldr,#healthpolicy [5] care,workers [4] one,popular [4] popular,articles [4] articles,2021 [4] 2021,article [4] article,exceeding [4] exceeding,both [4] both,evidence Top Word Pairs in Tweet in G9:
[5] hit,girl [5] girl,pod [5] pod,partnering [5] partnering,himss [5] himss,once [5] once,again [5] again,make [5] make,year's [5] year's,#himss22 [5] #himss22,spectacular Top Word Pairs in Tweet in G10:
[4] #medtwitter,#phychat [4] #phychat,#hcldr [3] whitehouse,office [3] office,science [3] science,technology [3] technology,policy [3] policy,whostp [3] whostp,œis [3] œis,seeking [3] seeking,info Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: