The graph represents a network of 4,845 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 Friday, 01 November 2019 at 23:47 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 30-minute period from Wednesday, 23 October 2019 at 22:36 UTC to Friday, 01 November 2019 at 23:06 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 : 4845
Unique Edges : 17080
Edges With Duplicates : 18514
Total Edges : 35594
Self-Loops : 2155
Reciprocated Vertex Pair Ratio : 0.0685342671335668
Reciprocated Edge Ratio : 0.128277153558052
Connected Components : 196
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 4554
Maximum Edges in a Connected Component : 35217
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.246048
Graph Density : 0.00091012979575767
Modularity : 0.316141
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,845 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 Friday, 01 November 2019 at 23:47 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 30-minute period from Wednesday, 23 October 2019 at 22:36 UTC to Friday, 01 November 2019 at 23:06 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:
[463] hlthevent,#hlth2019 [428] health,care [422] don,t [309] learn,more [308] looking,forward [305] #hlth2019,hlthevent [260] #hlth2019,#hlth19 [247] mental,health [228] world,s [201] track,room Top Word Pairs in Tweet in G1:
[222] health,care [179] hlthevent,#hlth2019 [151] don,t [146] mental,health [121] learn,more [118] #hlth2019,#hlth19 [106] looking,forward [104] #hlth2019,hlthevent [102] #cambiachat,#hlth2019 [74] #optumpatio,#hlth2019 Top Word Pairs in Tweet in G2:
[150] #hcldr,#pinksocks [130] world,s [117] #hlth2019,#hcldr [110] don,t [107] hlthevent,#hlth2019 [98] doesn,t [98] #hlth2019,#atriumhealthproud [97] #hlth2019,hlthevent [83] aren,t [81] looking,forward Top Word Pairs in Tweet in G3:
[71] hlthevent,#hlth2019 [65] #hlth2019,hlthevent [56] learn,more [51] gary,earl [48] find,out [42] #hlth2019,#hlthevent [38] leverage,#hlth2019 [38] #hlthevent,experience [38] experience,join [38] join,10k Top Word Pairs in Tweet in G4:
[78] health,care [70] don,t [50] #hlth19,#hlth2019 [47] hlthevent,#hlth2019 [40] chronic,conditions [39] marijka,grey [39] physicians,don [39] love,tech [38] dr,marijka [38] grey,best Top Word Pairs in Tweet in G5:
[123] patient,influencers [116] #wegohealthawards,best [115] track,room [115] best,show [110] 30,pm [104] #wegohealthawards,winners [99] 7,30 [98] #hlth2019,#wegohealthawards [95] room,3 [93] 3,#hlth2019 Top Word Pairs in Tweet in G6:
[37] machine,reading [36] day,#hlth2019 [34] clinical,research [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 G7:
[38] main,stage [36] #hlth2019,conference [31] don,t [30] patient,speakers [30] speakers,main [29] payers,providers [29] include,patient [28] hearing,#hlth2019 [27] keep,hearing [27] conference,jpm Top Word Pairs in Tweet in G8:
[7] #hlth2019,#healthcare [6] perficient,digital [5] mgm,grand [5] hlth,2019 [5] 7,miss [5] miss,panels [5] panels,hlth19 [5] hlth19,#innovation [5] #innovation,#hlth2019 [5] #healthcare,#healthit Top Word Pairs in Tweet in G9:
[16] finnpartners,#health [15] gil_bashe,finnpartners [14] rare,diseases [14] health,practice [12] racheleforsyth,beckygohsler [11] power,press [11] award,excellence [11] mheinley,beckygohsler [11] re,excited [10] rare,disease Top Word Pairs in Tweet in G10:
[47] join,online [47] online,#socialvr [46] #virtualreality,#augmentedreality [43] #vrara,#vrargs [43] #vrargs,#virtualreality [42] #hlth2019,#vrara [35] vr,healthcare [33] 1pm,et [31] starfighter,hanger [29] healthcare,innovation 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: