The graph represents a network of 1,154 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, 13 May 2020 at 17:12 UTC.
The requested start date was Tuesday, 12 May 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, 20-hour, 28-minute period from Tuesday, 28 April 2020 at 00:16 UTC to Monday, 11 May 2020 at 20:45 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 : 1154
Unique Edges : 1491
Edges With Duplicates : 5345
Total Edges : 6836
Number of Edge Types : 5
Retweet : 1483
MentionsInRetweet : 2482
Tweet : 618
Mentions : 1516
Replies to : 737
Self-Loops : 645
Reciprocated Vertex Pair Ratio : 0.119273301737757
Reciprocated Edge Ratio : 0.213126323218066
Connected Components : 55
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 1013
Maximum Edges in a Connected Component : 6594
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.148942
Graph Density : 0.00212992705338045
Modularity : 0.276767
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 1,154 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, 13 May 2020 at 17:12 UTC.
The requested start date was Tuesday, 12 May 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, 20-hour, 28-minute period from Tuesday, 28 April 2020 at 00:16 UTC to Monday, 11 May 2020 at 20:45 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:
[80] covid,19 [79] countries,responded [79] responded,#covid19 [79] #covid19,learn [79] learn,prepare [79] prepare,second [79] second,wave [79] wave,insightful [79] insightful,graphic [78] rasushrestha,countries Top Word Pairs in Tweet in G1:
[56] guest,hosts [49] covid,19 [41] kisteinm,hcldr [40] #hcldr,blog [40] hcldr,t3 [38] #hcldr,chat [38] mental,health [36] reedsmith,dshifrin [35] tonight,#hcldr [33] medical,care Top Word Pairs in Tweet in G2:
[73] countries,responded [73] responded,#covid19 [73] #covid19,learn [73] learn,prepare [73] prepare,second [73] second,wave [73] wave,insightful [73] insightful,graphic [72] rasushrestha,countries [72] graphic,analy Top Word Pairs in Tweet in G3:
[12] consumers,more [12] more,interested [12] interested,engaging [12] engaging,medical [12] medical,industry [12] industry,both [12] both,#telehealth [12] #telehealth,sharing [12] sharing,data [11] jameyedwards,consumers Top Word Pairs in Tweet in G4:
[15] mental,health [13] health,minute [9] t3,those [9] #covid19,global [9] global,survey [9] survey,ciochime [9] ciochime,working [9] working,penn_state [9] penn_state,extended [9] extended,help Top Word Pairs in Tweet in G5:
[23] #covid19,create [23] create,health [23] health,inequities [23] inequities,certainly [23] certainly,exacerbated [23] exacerbated,derekfeeleyihi [22] theihi,#covid19 [22] derekfeeleyihi,#healthequ [6] 12,30pm [6] 30pm,ct Top Word Pairs in Tweet in G6:
[8] #hcmktg,#mcsmn [6] #hcldr,#hcmktg [6] #hcsm,#hcmktg [6] reedsmith,discuss [5] healthcare,folks [5] folks,re [5] re,already [5] already,tuned [5] tuned,stephenjdowns [5] stephenjdowns,tgoetz Top Word Pairs in Tweet in G7:
[14] #pophealth,#hcldr [13] pophealth,week [13] week,hosts [13] hosts,fred [13] fred,goldstein [13] goldstein,gregg [13] gregg,masters [13] masters,talk [13] talk,today's [13] today's,challenges Top Word Pairs in Tweet in G8:
[8] questions,#covid19 [8] #covid19,forming [8] forming,small [8] small,partnership [8] partnership,researchers [8] researchers,members [8] members,public [8] public,help [8] help,design [7] coffeemommy,questions Top Word Pairs in Tweet in G9:
[8] human,experience [8] national,nurse's [8] nurse's,day [8] day,recognize [8] recognize,thank [8] thank,incredible [8] incredible,nursing [8] nursing,teams [8] teams,consistently [8] consistently,working Top Word Pairs in Tweet in G10:
[6] klasresearch,blog [5] klasresearch,report [4] #hcit,#hcldr [4] 2020,klasresearch [3] covid,19 [3] #cio,#cmio [3] #cio,#cfo [3] #cfo,#cmio [3] #hcit,#healthcareit [3] #healthcareit,#healthcare Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: