The graph represents a network of 648 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, 07 April 2021 at 16:09 UTC.
The requested start date was Tuesday, 06 April 2021 at 00:01 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, 55-minute period from Tuesday, 23 March 2021 at 00:37 UTC to Monday, 05 April 2021 at 23:33 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 : 648
Unique Edges : 820
Edges With Duplicates : 3194
Total Edges : 4014
Number of Edge Types : 5
Mentions : 944
MentionsInRetweet : 1235
Retweet : 770
Replies to : 618
Tweet : 447
Self-Loops : 453
Reciprocated Vertex Pair Ratio : 0.159177456207159
Reciprocated Edge Ratio : 0.274638633377135
Connected Components : 39
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 540
Maximum Edges in a Connected Component : 3801
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.589263
Graph Density : 0.0036302402350831
Modularity : 0.249997
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 648 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, 07 April 2021 at 16:09 UTC.
The requested start date was Tuesday, 06 April 2021 at 00:01 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, 55-minute period from Tuesday, 23 March 2021 at 00:37 UTC to Monday, 05 April 2021 at 23:33 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:
[72] #hcldr,#hitsm [64] trust,healthcare [58] friends,family [53] vaccine,hesitancy [53] icymi,gt [53] harlow,healthcare [53] #digitalhealth,#hcldr [50] healthcare,#digitalhealth [39] lack,trust [38] #hcldr,blog Top Word Pairs in Tweet in G1:
[45] vaccine,hesitancy [41] friends,family [37] trust,healthcare [29] lack,trust [25] public,health [19] #hcldr,blog [19] looking,forward [18] colin_hung,joebabaian [18] well,#hcldr [18] #pophealth,#hcldr Top Word Pairs in Tweet in G2:
[18] achieve,#healthequity [18] #healthequity,make [18] make,culturally [18] culturally,relevant [18] relevant,care [18] care,standard [18] standard,care [18] care,#hcldr [18] future,#healthcare [18] #healthcare,coming Top Word Pairs in Tweet in G3:
[17] trust,healthcare [16] friends,family [15] #hcldr,#pinksocks [9] lack,trust [9] #hcldr,blog [9] welcome,#hcldr [7] establishing,trust [7] vaccine,hesitancy [6] looking,forward [6] published,today's Top Word Pairs in Tweet in G4:
[5] interested,#chatbots [5] #chatbots,voice [5] voice,#vui [5] #vui,design [5] design,healthcare [5] healthcare,check [5] check,friend [5] friend,fellow [5] fellow,designer [5] designer,dianadoesthis Top Word Pairs in Tweet in G5:
[17] live,today [14] #opennotes,drop [14] drop,clinic [12] stop,anytime [12] anytime,over [11] co,founder [11] myopennotes,live [10] thank,ucsfmedicine [10] ucsfmedicine,chair [10] chair,bob_wachter Top Word Pairs in Tweet in G6:
[6] interesting,11 [6] 11,year [6] year,old [6] old,home [6] home,kids [6] kids,love [6] love,video [6] video,games [6] games,thank [6] thank,sharing Top Word Pairs in Tweet in G7:
[2] noon,250th [2] 250th,show [2] show,celebration [2] celebration,drromie [2] drromie,michaelcmann [2] michaelcmann,jong_kat [2] jong_kat,anoizet [2] anoizet,janetmanningrn Top Word Pairs in Tweet in G8:
[10] #hcldr,#healthcare [6] #ptexp,#hcldr [5] learn,more [4] happy,announce [4] organizational,member [4] member,#px [4] #px,community [4] community,learn [4] more,#ptexp [4] #ptexp,community Top Word Pairs in Tweet in G9:
[10] learn,more [8] edit,very [8] very,special [8] special,themed [8] themed,issue [8] issue,journal [8] journal,learn [8] more,supplemental [8] supplemental,issue [5] insightful,article Top Word Pairs in Tweet in G10:
[9] #hitsm,#hcldr [4] iot,increase [4] increase,security [4] security,risks [4] risks,healthcare [4] healthcare,#hitsm [4] #hcldr,colin_hung [4] colin_hung,netscout [4] netscout,zebratechnology [3] techguy,iot 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 Replied-To in G10:
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:
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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: