The graph represents a network of 2,010 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 Monday, 14 January 2019 at 21:38 UTC.
The requested start date was Monday, 14 January 2019 at 01:01 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, 23-hour, 58-minute period from Monday, 31 December 2018 at 01:01 UTC to Monday, 14 January 2019 at 00:59 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 : 2010
Unique Edges : 4226
Edges With Duplicates : 4128
Total Edges : 8354
Number of Edge Types : 3
Mentions : 6780
Replies to : 765
Tweet : 809
Self-Loops : 809
Reciprocated Vertex Pair Ratio : 0.100885720457982
Reciprocated Edge Ratio : 0.183281004709576
Connected Components : 60
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 1878
Maximum Edges in a Connected Component : 8204
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.041413
Graph Density : 0.00126198276908142
Modularity : 0.383902
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[168] hitsm,hcldr [147] new,year [136] hcldr,hitsm [127] meded,hcldr [121] startuphealth,festival [115] local,hospital's [115] online,pricelist [111] looked,up [111] up,local [111] hospital's,newly Top Word Pairs in Tweet in G1:
[109] startuphealth,festival [101] new,year [90] ðÿ,ðÿ [75] pinksocks,hcldr [75] happy,new [68] social,media [65] âœ,ï [56] jpm19,startuphealth [55] next,week [51] â,ï Top Word Pairs in Tweet in G2:
[56] hcldr,hitsm [49] icymi,gt [45] digitalhealth,hcldr [33] large,swaths [33] swaths,human [33] human,existence [33] existence,captured [33] captured,medical [33] medical,records [33] records,katiemccurdy Top Word Pairs in Tweet in G3:
[64] hitsm,hcldr [59] healthtalk,hitsm [58] hcsm,healthtalk [57] technology,digitalhealth [56] digitalhealth,hcsm [55] healthcare,technology [33] healthdata,healthcare [31] hcldr,meded [25] medtech,healthscience [25] healthscience,healthcare Top Word Pairs in Tweet in G4:
[19] jpmorgan,healthcare [19] healthcare,conference [15] hcldr,phychat [13] jpm19,hcldr [12] jpm19,bts19 [12] pophealth,week [12] published,jpmorgan [12] conference,post [12] post,select [12] select,links Top Word Pairs in Tweet in G5:
[86] local,hospital's [86] online,pricelist [84] looked,up [84] up,local [84] hospital's,newly [84] newly,posted [84] posted,online [84] pricelist,find [84] find,thousands [84] thousands,rows Top Word Pairs in Tweet in G6:
[82] cite,tweet [82] tweet,instagram [82] instagram,post [82] post,youtube [82] youtube,video [82] video,academic [82] academic,work [82] work,hcsm [82] hcsm,meded [81] drmstiegler,cite Top Word Pairs in Tweet in G7:
[10] health,care [8] identify,reduce [8] reduce,health [8] health,inequity [8] inequity,healthequity [8] healthequity,sdoh [8] sdoh,hcldr [7] qi,training [7] training,managers [7] managers,good Top Word Pairs in Tweet in G8:
[12] challenges,medstartr [12] nolahi,challenge [11] sdoh,costofcare [10] hey,jpm19 [10] jpm19,peeps [10] startups,4 [10] 4,challenges [9] learn,more [9] bcbsla,ochsnerhealth [9] enter,win Top Word Pairs in Tweet in G9:
[81] hcldr,himss19 [75] hitsm,hcldr [52] j,p [52] p,morgan [52] morgan,healthcare [50] social,virtualreality [50] future,healthcare [50] healthcare,during [50] during,37th [50] 37th,j Top Word Pairs in Tweet in G10:
[16] â,œi [11] sharpindex,â [9] t,know [9] know,going [9] coherencemed,told [9] told,mdmagazine [9] t,details [8] œi,didnâ [8] didnâ,t [8] going,â Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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