The graph represents a network of 3,032 Twitter users whose tweets in the requested range contained "ehealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 August 2019 at 16:09 UTC.
The requested start date was Monday, 05 August 2019 at 00:01 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 9-day, 9-hour, 20-minute period from Friday, 26 July 2019 at 14:31 UTC to Sunday, 04 August 2019 at 23:51 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 : 3032
Unique Edges : 4941
Edges With Duplicates : 3125
Total Edges : 8066
Number of Edge Types : 3
Mentions : 6789
Tweet : 1137
Replies to : 140
Self-Loops : 1137
Reciprocated Vertex Pair Ratio : 0.0319891430787127
Reciprocated Edge Ratio : 0.0619951155363517
Connected Components : 215
Single-Vertex Connected Components : 117
Maximum Vertices in a Connected Component : 2537
Maximum Edges in a Connected Component : 7441
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.102419
Graph Density : 0.000579217043932138
Modularity : 0.548889
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[259] #onmedic,#ehealth [232] #ehealth,#pharma [205] #ehealth,#onmedic [205] #onmedic,#pharma [137] #ehealth,#digitalhealth [108] saludigital_es,#ehealth [105] enricomolinari,#ehealth [103] sobre,#ehealth [101] seguimiento,sobre [99] #digitalhealth,#ehealth Top Word Pairs in Tweet in G1:
[107] #ehealth,#digitalhealth [102] sobre,#ehealth [101] seguimiento,sobre [77] #healthtech,#ehealth [69] #digitalhealth,#ehealth [69] #connectedhealth,#healthtech [65] #mobilehealth,#ai [62] #ai,#machinelearning [61] #machinelearning,#healthcareit [42] #ehealth,#mhealth Top Word Pairs in Tweet in G2:
[86] enricomolinari,#ehealth [76] #tech,#ehealth [40] #innovation,#tech [39] #robot,save [39] save,life [39] life,enricomolinari [39] enricomolinari,#lifepreserver [39] #lifepreserver,#innovation [38] enricomolinari,#robot [36] #ehealth,rachellou Top Word Pairs in Tweet in G3:
[243] #onmedic,#ehealth [218] #ehealth,#pharma [185] #ehealth,#onmedic [185] #onmedic,#pharma [77] saludigital_es,#ehealth [76] acquisition,two [76] two,treatments [76] treatments,rounds [76] rounds,out [76] out,upsher Top Word Pairs in Tweet in G4:
[20] day,moving [20] moving,average [10] ehth,uptrend [10] uptrend,50 [10] 50,day [10] above,200 [10] 200,day [10] average,june [10] june,25 [10] 25,2018 Top Word Pairs in Tweet in G5:
[34] ehealth,inc [33] ehealth,ehth [18] inc,ehth [10] earnings,results [9] ehth,releases [9] results,beats [9] 0,47 [9] 47,eps [8] zacks,investment [8] investment,research Top Word Pairs in Tweet in G6:
[15] ssscfoundation,ehealth_africa [15] free,instant [15] instant,genotype [15] genotype,testing [13] know,genotype [13] genotype,ssscfoundation [13] ehealth_africa,providing [13] providing,free [12] shaperskano,know [12] testing,fir Top Word Pairs in Tweet in G7:
[14] ehealth_eu,#dhetwinnings [13] still,looking [13] looking,twinning [13] twinning,partner [13] join,#digitalhealtheurope [13] #digitalhealtheurope,twinning [12] partner,join [12] twinning,marketplace [12] marketplace,find [12] find,match Top Word Pairs in Tweet in G8:
[17] saludigital_es,#ehealth [10] ict,health [8] health,#icthealth [8] salud,personas [8] personas,tecnología [8] tecnología,está [8] está,disponible [8] disponible,gracias [7] primera,pulsera [7] pulsera,inteligente Top Word Pairs in Tweet in G9:
[26] thanx,following [26] following,wish [26] wish,good [26] good,discussion [26] discussion,#digitaltransformation [26] #digitaltransformation,#bigdata [26] #bigdata,#ehealth [24] #ehealth,#management [13] #ehealth,experience [13] experience,share Top Word Pairs in Tweet in G10:
[10] folge,#85 [10] #85,des [10] des,ehealth [10] ehealth,podcasts [10] podcasts,zum [10] zum,thema [10] thema,pdms [10] pdms,software [10] software,intensivstation [10] intensivstation,op 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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