The graph represents a network of 393 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, 06 December 2022 at 19:31 UTC.
The requested start date was Tuesday, 06 December 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, 56-minute period from Tuesday, 22 November 2022 at 01:56 UTC to Tuesday, 06 December 2022 at 00:53 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 : 393
Unique Edges : 539
Edges With Duplicates : 2299
Total Edges : 2838
Number of Edge Types : 5
Mentions : 543
Tweet : 327
Retweet : 644
MentionsInRetweet : 1076
Replies to : 248
Self-Loops : 339
Reciprocated Vertex Pair Ratio : 0.139194139194139
Reciprocated Edge Ratio : 0.244372990353698
Connected Components : 32
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 286
Maximum Edges in a Connected Component : 2607
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.183364
Graph Density : 0.00605623928960897
Modularity : 0.208555
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 393 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, 06 December 2022 at 19:31 UTC.
The requested start date was Tuesday, 06 December 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, 56-minute period from Tuesday, 22 November 2022 at 01:56 UTC to Tuesday, 06 December 2022 at 00:53 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".
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:
[86] icymi,gt [84] harlow,healthcare [69] #hcldr,#hitsm [59] #digitalhealth,#hcldr [58] healthcare,#digitalhealth [39] healthblawg,icymi [36] illusion,choice [33] choice,healthcare [31] #hcldr,#cchlforum [30] public,health Top Word Pairs in Tweet in G1:
[19] public,health [19] grassroots,organizations [18] equity,diversity [15] illusion,choice [15] equity,inclusion [15] #hcldr,tweetchat [14] #hcldr,#cchlforum [13] tonight,#hcldr [13] role,grassroots [13] colin_hung,ajwcarter Top Word Pairs in Tweet in G2:
[17] #hcldr,#cchlforum [16] choice,healthcare [15] illusion,choice [12] ajwcarter,cchl_ccls [11] #hcldr,illusion [11] 30p,talk [11] healthcare,join [10] brendanmcdowell,hcldr [10] talk,choices [9] today,30p Top Word Pairs in Tweet in G3:
[85] icymi,gt [83] harlow,healthcare [59] #digitalhealth,#hcldr [58] healthcare,#digitalhealth [49] #hcldr,#hitsm [38] healthblawg,icymi [16] mba,enterprise [16] evp,chief [16] enterprise,evp [16] chief,strategy Top Word Pairs in Tweet in G4:
[2] criley_md,drkhan_do [2] braincoach333,usnehal [2] arwmd,ashanitw [2] drkhan_do,arwmd [2] mahealthforkids,criley_md [2] jim_rawson_md,rasushrestha [2] usnehal,mahealthforkids [2] ashanitw,kerrywilkinsmd [2] drvantilburg,braincoach333 Top Word Pairs in Tweet in G5:
[26] take,look [19] miss,register [16] womenas1,take [12] #medtwitter,#hcldr [10] program,one [10] women,physicians [10] full,agenda [10] register,#womeninmedicine [10] dynamic,program [10] #rise2023,dynamic Top Word Pairs in Tweet in G6:
[6] #pinksocks,#hcldr [5] hate,always [5] always,respect [5] over,hate [5] #lovemore,#fearless [5] #hcldr,#lovemore [5] love,over [5] respect,#pinksocks [4] judithconsult,love [3] mental,health Top Word Pairs in Tweet in G8:
[8] #hcldr,#hitsm [7] #bcsm,#meded [7] #lcsm,#btsm [7] #meded,#hcldr [7] #btsm,#hcsmsa [7] #hpm,#lcsm [7] #hitsm,#hpm [6] #healthcare,#bcsm [3] #bestchoicewellness4u,#healthcare [3] today,#compcaremedical Top Word Pairs in Tweet in G9:
[4] run,charts [4] essentials,toolkit [4] qi,essentials [4] included,ihi [4] toolkit,help [4] charts,tools [4] help,monitor [4] charts,control [4] control,charts [4] tools,included Top Word Pairs in Tweet in G10:
[6] learn,more [4] #hcldr,#healthmanagement [3] more,#hcldr [3] #healthmanagement,#healthleaders [3] read,over [2] next,article [2] article,hcmronline [2] #cpd,#gendergap [2] journal,healthcare [2] strengthen,communication Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: