The graph represents a network of 2,834 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 Monday, 22 April 2019 at 16:17 UTC.
The requested start date was Monday, 22 April 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 5-day, 15-hour, 55-minute period from Tuesday, 16 April 2019 at 07:57 UTC to Sunday, 21 April 2019 at 23:52 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 : 2834
Unique Edges : 4961
Edges With Duplicates : 3097
Total Edges : 8058
Number of Edge Types : 3
Mentions : 6882
Replies to : 100
Tweet : 1076
Self-Loops : 1076
Reciprocated Vertex Pair Ratio : 0.0272762197464464
Reciprocated Edge Ratio : 0.0531039640987285
Connected Components : 224
Single-Vertex Connected Components : 129
Maximum Vertices in a Connected Component : 2300
Maximum Edges in a Connected Component : 7431
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.133164
Graph Density : 0.000666108503943716
Modularity : 0.558045
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[318] #ehealth,#onmedic [304] #onmedic,#ehealth [281] #onmedic,#pharma [223] #ehealth,#pharma [142] direct,#dwspr19 [131] #ehealth,#mhealth [110] #digitalhealth,#ehealth [106] digital,health [95] #campussanofi,#ehealth [93] seguimiento,sobre Top Word Pairs in Tweet in G1:
[54] #campussanofi,#ehealth [41] #ehealth,#mhealth [28] digital,health [27] ghirardieugenio,seguimiento [27] seguimiento,sobre [27] sobre,#ehealth [25] #digitalhealth,#ehealth [20] #mhealth,#ehealth [19] #ehealth,#digitalhealth [16] e,health Top Word Pairs in Tweet in G2:
[276] #ehealth,#onmedic [263] #onmedic,#ehealth [244] #onmedic,#pharma [190] #ehealth,#pharma [66] seguimiento,sobre [66] sobre,#ehealth [63] look,create [63] create,first [63] first,effective [63] effective,plague Top Word Pairs in Tweet in G3:
[20] ehealth,africa [20] africa,eha [19] cdcemergency,cdc_ehealth [16] #ehealth,#onmedic [16] #onmedic,#ehealth [14] digital,health [14] #onmedic,#pharma [14] stocks,greater [14] greater,movement [14] movement,last Top Word Pairs in Tweet in G4:
[20] know,va [20] va,evidence [20] evidence,based [20] based,mental [20] mental,health [20] health,apps [20] apps,excellent [20] excellent,free [20] free,#ehealth [19] carmenmcleanphd,know Top Word Pairs in Tweet in G5:
[26] ehealth,africa [24] ehealth,inc [21] africa,eha [19] inc,ehth [9] digital,health [9] ehealth,ehth [7] intern,grant [7] grant,contracts [7] contracts,ehealth [6] ehealth,barometer Top Word Pairs in Tweet in G6:
[21] autoriteit,n [21] n,'waakhond' [21] 'waakhond',keer [21] keer,op [21] op,keer [21] keer,serieuze [21] serieuze,klachten [21] klachten,patiënten [21] patiënten,èn [21] èn,zorgverleners Top Word Pairs in Tweet in G7:
[21] accessing,#health [21] #health,record [21] record,allow [21] allow,doctors [21] doctors,around [21] around,#eu [21] #eu,better [21] better,faster [21] faster,deliver [21] deliver,diagnoses Top Word Pairs in Tweet in G8:
[21] besetzen,demnächst [21] demnächst,uniwh [21] suchen,nach [21] nach,geeigneten [21] geeigneten,kandidatinnen [19] medizindidaktik,besetzen [18] uniwh,einen [18] einen,lehrstuhl [18] lehrstuhl,#gesundheitsinformatik [18] #gesundheitsinformatik,suchen Top Word Pairs in Tweet in G9:
[9] digital,tech [9] tech,health [9] health,become [9] become,more [9] more,pervasive [9] pervasive,s [9] s,use [9] use,responsibly [9] responsibly,harm [9] harm,recognise Top Word Pairs in Tweet in G10:
[46] yesterday's,disrupt [46] disrupt,meetup [46] meetup,spielfeld [46] spielfeld,blast [46] blast,coo [46] coo,collaboration [46] collaboration,dr [46] dr,fabian [46] fabian,rusch [46] rusch,capgemini 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: