The graph represents a network of 864 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 Thursday, 26 November 2020 at 17:30 UTC.
The requested start date was Tuesday, 24 November 2020 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, 20-hour, 50-minute period from Tuesday, 10 November 2020 at 03:50 UTC to Tuesday, 24 November 2020 at 00:41 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 : 864
Unique Edges : 1173
Edges With Duplicates : 4312
Total Edges : 5485
Number of Edge Types : 5
Replies to : 607
Mentions : 1270
Retweet : 1130
MentionsInRetweet : 1812
Tweet : 666
Self-Loops : 687
Reciprocated Vertex Pair Ratio : 0.144965735371639
Reciprocated Edge Ratio : 0.253222836095764
Connected Components : 68
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 689
Maximum Edges in a Connected Component : 5149
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.758869
Graph Density : 0.00291296510879361
Modularity : 0.280236
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 864 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 Thursday, 26 November 2020 at 17:30 UTC.
The requested start date was Tuesday, 24 November 2020 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, 20-hour, 50-minute period from Tuesday, 10 November 2020 at 03:50 UTC to Tuesday, 24 November 2020 at 00:41 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:
[79] health,care [61] children,youth [58] #hcldr,#hitsm [58] #digitalhealth,#hcldr [55] unicefcanada,pedchairscan [53] icymi,gt [51] tonight,#hcldr [50] guest,hosts [48] childhealthcan,cihr_ihdcyh [44] cihr_ihdcyh,unicefcanada Top Word Pairs in Tweet in G1:
[59] children,youth [52] unicefcanada,pedchairscan [45] tonight,#hcldr [44] childhealthcan,cihr_ihdcyh [44] guest,hosts [42] cihr_ihdcyh,unicefcanada [38] join,#hcldr [38] well,being [38] child,health [38] health,care Top Word Pairs in Tweet in G2:
[30] centered,care [18] #hitsm,#hcldr [16] #hcldr,#pinksocks [16] #healthit,#nextnormal [15] widen,aperture [15] aperture,patient [15] patient,centered [15] care,person [15] person,centered [15] care,#healthit Top Word Pairs in Tweet in G3:
[17] pophealth,week [14] week,hosts [14] hosts,fred [14] fred,goldstein [14] goldstein,gregg [14] gregg,masters [14] masters,talk [14] talk,today's [14] today's,challenges [14] challenges,#pophealth Top Word Pairs in Tweet in G4:
[18] health,care [18] care,providers [18] providers,facing [18] facing,unfathomable [18] unfathomable,psychology [18] psychology,help [18] help,please [18] please,share [18] share,free [18] free,apa Top Word Pairs in Tweet in G5:
[7] building,free [7] free,directory [7] please,take [7] take,moment [7] moment,send [7] send,suggestions [5] suggestions,directo [5] directory,healthcare [5] healthcare,podcasts [5] podcasts,please Top Word Pairs in Tweet in G6:
[14] #technology,enhancing [14] enhancing,#healthcare [14] #healthcare,#surgery [14] #surgery,unlimited [14] unlimited,possibilities [14] possibilities,#digitalhealth [14] #digitalhealth,#education [12] zgjr,#technology [12] #education,#telehealth [12] #telehealth,beyond Top Word Pairs in Tweet in G7:
[14] health,care [8] nice,infographic [8] infographic,lippincott [8] lippincott,wkhealth [8] wkhealth,research [8] research,survey [8] survey,characteristics [8] characteristics,next [8] next,generation [8] generation,nurses Top Word Pairs in Tweet in G8:
[2] #radonc,#hcldr [2] venusdvh,tipsrotweets [2] tipsrotweets,thejamo [2] thejamo,shalinivinod13 [2] shalinivinod13,hopefully [2] hopefully,people [2] people,programs [2] programs,staying [2] staying,ahead [2] ahead,curve Top Word Pairs in Tweet in G9:
[4] fragmented,system [4] system,help [4] help,clinicians [4] clinicians,dentists [4] dentists,opthos [4] opthos,provide [4] provide,more [4] more,#patienteducation [3] gerilynn,fragmented [3] #patienteducation,communicati Top Word Pairs in Tweet in G10:
[9] rarediseasedad,elizabethagan [9] elizabethagan,agreed [9] agreed,pulled [9] pulled,ideas [9] ideas,together [9] together,help [9] help,people [9] people,make [9] make,best [9] best,zoom 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 G8:
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 G8:
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 G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: