The graph represents a network of 4,857 Twitter users whose recent tweets contained "#HLTH2019", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 02 November 2019 at 00:04 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 1-minute period from Wednesday, 23 October 2019 at 21:27 UTC to Friday, 01 November 2019 at 23:28 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 : 4867
Unique Edges : 17276
Edges With Duplicates : 20543
Total Edges : 37819
Number of Edge Types : 4
Mentions : 25360
Retweet : 8765
Replies to : 1439
Tweet : 2255
Self-Loops : 2303
Reciprocated Vertex Pair Ratio : 0.0723205506391347
Reciprocated Edge Ratio : 0.13488606666361
Connected Components : 196
Single-Vertex Connected Components : 151
Maximum Vertices in a Connected Component : 4578
Maximum Edges in a Connected Component : 37443
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.242584
Graph Density : 0.000920962881872777
Modularity : 0.305821
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,857 Twitter users whose recent tweets contained "#HLTH2019", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 02 November 2019 at 00:04 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 1-minute period from Wednesday, 23 October 2019 at 21:27 UTC to Friday, 01 November 2019 at 23:28 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 : TwitterSearch
Graph Term : #HLTH2019
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[465] hlthevent,#hlth2019 [449] health,care [425] don,t [315] looking,forward [315] learn,more [305] #hlth2019,hlthevent [260] #hlth2019,#hlth19 [249] mental,health [228] world,s [225] #cambiachat,#hlth2019 Top Word Pairs in Tweet in G1:
[166] #hcldr,#pinksocks [134] #hlth2019,#hcldr [130] world,s [124] health,care [110] hlthevent,#hlth2019 [109] don,t [98] #hlth2019,#atriumhealthproud [97] doesn,t [91] #hlth2019,hlthevent [83] looking,forward Top Word Pairs in Tweet in G2:
[149] health,care [146] hlthevent,#hlth2019 [103] don,t [99] #hlth2019,hlthevent [95] learn,more [94] mental,health [79] #hlth19,#hlth2019 [72] looking,forward [67] #virtualreality,#augmentedreality [66] #optumpatio,#hlth2019 Top Word Pairs in Tweet in G3:
[202] #cambiachat,#hlth2019 [135] don,t [133] hlthevent,#hlth2019 [129] track,room [128] patient,influencers [127] best,show [125] #wegohealthawards,best [124] health,care [123] 30,pm [117] #wegohealthawards,winners Top Word Pairs in Tweet in G4:
[66] change,healthcare [37] learn,more [36] track,room [36] find,out [35] leverage,#hlth2019 [35] #hlth2019,#hlthevent [35] #hlthevent,experience [35] experience,join [35] join,10k [35] 10k,#digitalhealth Top Word Pairs in Tweet in G5:
[33] mcuban,#hlth2019 [21] #preach,#hlth2019 [20] up,rid [20] rid,political [20] political,parties [20] parties,mcuban [20] mcuban,#preach [19] #hlth,#hlth2019 [17] hlthevent,#hlth2019 [17] #ai,#healthcare Top Word Pairs in Tweet in G6:
[30] #hlth2019,#ai [22] looking,forward [21] hlthevent,#hlth2019 [19] analytics4life,envisagenics [19] check,out [19] melindarichter,jlabs [19] track,3 [18] booth,251 [18] #jlabs,melindarichter [16] 3,10 Top Word Pairs in Tweet in G7:
[7] #hlth2019,#healthcare [6] hlth,conference [6] perficient,digital [5] mgm,grand [5] hlth,2019 [5] 7,miss [5] miss,panels [5] panels,hlth19 [5] hlth19,#innovation [5] #innovation,#hlth2019 Top Word Pairs in Tweet in G8:
[37] machine,reading [34] clinical,research [34] day,#hlth2019 [33] research,papers [29] we've,learning [29] learning,jacksonlab [29] jacksonlab,#ai [29] #ai,help [29] help,people [29] people,make Top Word Pairs in Tweet in G9:
[39] main,stage [32] #hlth2019,conference [31] don,t [31] speakers,main [31] patient,speakers [30] include,patient [28] keep,hearing [28] hearing,#hlth2019 [28] conference,jpm [28] jpm,payers Top Word Pairs in Tweet in G10:
[51] gary,earl [30] 2,cups [30] cups,sliced [30] 1,4 [30] 4,tsp [20] #mixingitup,gary [20] sharing,#hlth2019 [15] settle,down [15] down,one [15] one,favorite Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: