The graph represents a network of 935 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, 23 June 2020 at 17:12 UTC.
The requested start date was Tuesday, 23 June 2020 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, 38-minute period from Tuesday, 09 June 2020 at 00:17 UTC to Monday, 22 June 2020 at 23:55 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 : 935
Unique Edges : 1392
Edges With Duplicates : 4886
Total Edges : 6278
Number of Edge Types : 5
Replies to : 845
Mentions : 1748
Retweet : 1065
MentionsInRetweet : 2023
Tweet : 597
Self-Loops : 620
Reciprocated Vertex Pair Ratio : 0.160962072155412
Reciprocated Edge Ratio : 0.277290836653386
Connected Components : 35
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 854
Maximum Edges in a Connected Component : 6143
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.209937
Graph Density : 0.00287418841392894
Modularity : 0.256596
NodeXL Version : 1.0.1.435
Data Import : The graph represents a network of 935 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, 23 June 2020 at 17:12 UTC.
The requested start date was Tuesday, 23 June 2020 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, 38-minute period from Tuesday, 09 June 2020 at 00:17 UTC to Monday, 22 June 2020 at 23:55 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:
[105] public,health [73] coryneudorf,thilina_b [68] thilina_b,coryneudorf [65] cchl_ccls,coryneudorf [63] #hcldr,#hitsm [58] cchl_ccls,thilina_b [58] clinical,practice [54] icymi,gt [52] #digitalhealth,#hcldr [49] covid,19 Top Word Pairs in Tweet in G1:
[83] public,health [66] coryneudorf,thilina_b [61] thilina_b,coryneudorf [57] cchl_ccls,coryneudorf [54] cchl_ccls,thilina_b [52] clinical,practice [33] guest,hosts [31] hcldr,cchl_ccls [30] practice,guidelines [28] tonight,#hcldr Top Word Pairs in Tweet in G2:
[16] health,system [12] #npr,#nprlifekit [12] #pophealth,#hcldr [11] #haiku,#poetry [11] #hcldr,#medx [11] pophealth,week [11] week,hosts [11] hosts,fred [11] fred,goldstein [11] goldstein,gregg Top Word Pairs in Tweet in G3:
[34] psa,#cancer [34] #cancer,open [34] open,see [34] see,one [34] one,#tiktok [34] #tiktok,interested [34] interested,communicating [34] communicating,visually [34] visually,stay [33] drdonsdizon,psa Top Word Pairs in Tweet in G4:
[10] klasresearch,blog [9] #hitsm,#hcldr [8] #healthcareit,#hcit [6] blog,#klas [6] salesforce,benioff [6] benioff,askianmarks [6] healthythinker,colin_hung [6] colin_hung,coherencemed [6] coherencemed,evankirstel [6] evankirstel,johnnosta Top Word Pairs in Tweet in G5:
[9] #hcldr,#pinksocks [8] welcome,#hcldr [8] kisteinm,hcldr [7] public,health [7] colin_hung,joebabaian [6] #hcldr,chat [6] co,pilot [5] hello,#hcldr [5] tonight,#hcldr [5] hcldr,hello Top Word Pairs in Tweet in G6:
[8] free,webinar [8] webinar,coping [8] coping,cancer [8] cancer,june [8] june,16 [8] 16,11ct [8] 11ct,12et [8] 12et,free [8] free,ce [8] ce,contact Top Word Pairs in Tweet in G7:
[15] #lifesciences,#healthcare [8] today,#twitterchat [8] #twitterchat,next [8] next,#lifesciences [8] #healthcare,#covid19 [8] #covid19,join [8] join,wed [8] wed,11am [8] 11am,#stinsights [7] missed,#stinsights Top Word Pairs in Tweet in G8:
[54] icymi,gt [49] #digitalhealth,#hcldr [49] #hcldr,#hitsm [36] harlow,healthcare [34] healthcare,#digitalhealth [8] #touchpoint,podcast [8] chrisboyer,reedsmith [8] reedsmith,joined [6] predictive,analytics [6] analytics,harlow Top Word Pairs in Tweet in G9:
[11] health,care [8] covid,19 [7] systematic,review [7] read,#hcldr [7] seeking,original [7] original,research [7] special,issue [7] #nursetwitter,#medtwitter [6] masterful,teaching [6] teaching,leadership Top Word Pairs in Tweet in G10:
[33] cite,tweet [33] tweet,instagram [33] instagram,youtube [33] youtube,video [33] video,academic [33] academic,work [33] work,#hcsm [33] #hcsm,#meded [33] #meded,#hcldr [32] drmstiegler,cite Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: