The graph represents a network of 3,147 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, 25 March 2019 at 18:25 UTC.
The requested start date was Monday, 25 March 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, 6-hour, 20-minute period from Tuesday, 19 March 2019 at 17:40 UTC to Monday, 25 March 2019 at 00:01 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 : 3147
Unique Edges : 5213
Edges With Duplicates : 4067
Total Edges : 9280
Number of Edge Types : 3
Mentions : 8006
Tweet : 1112
Replies to : 162
Self-Loops : 1112
Reciprocated Vertex Pair Ratio : 0.0362939996352362
Reciprocated Edge Ratio : 0.0700457585357269
Connected Components : 300
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 2486
Maximum Edges in a Connected Component : 8503
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.29753
Graph Density : 0.000573912611350864
Modularity : 0.524706
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[270] ehealth,onmedic [267] onmedic,ehealth [257] ehealth,digitalhealth [250] onmedic,pharma [222] healthtech,ehealth [221] ehealth,pharma [183] digitalhealth,robotics [159] ehealth,mhealth [158] more,human [157] human,doctor Top Word Pairs in Tweet in G1:
[81] seguimiento,sobre [81] sobre,ehealth [42] ehealth,digitalhealth [42] digital,health [33] digitalhealth,ehealth [30] ghirardieugenio,seguimiento [26] healthtech,ehealth [23] ehealth,mhealth [17] digitalhealth,robotics [15] trust,artificialintelligence Top Word Pairs in Tweet in G2:
[264] ehealth,onmedic [255] onmedic,ehealth [245] onmedic,pharma [205] ehealth,pharma [63] issues,quality [63] quality,pharmerging [63] more,spoken [63] spoken,real [58] dea,license [58] license,offers Top Word Pairs in Tweet in G3:
[104] ehealth,mhealth [57] healthtech,medtech [30] digitalhealth,ehealth [30] mhealth,ehealth [26] digital,health [26] medtech,healthcare [23] healthcare,patientengagement [22] medtech,innovation [21] patientengagement,healthtech [19] mhealth,telehealth Top Word Pairs in Tweet in G4:
[25] ehealth,inc [22] inc,ehth [21] ehealth,summit [16] portugal,ehealth [11] e,health [11] 0,16 [9] atención,médica [8] 6,maneras [8] maneras,ehealth [8] ehealth,está Top Word Pairs in Tweet in G5:
[48] ehealth,summit [26] portugal,ehealth [16] digital,health [16] summit,2019 [16] health,care [13] euhaveyoursay,key [13] key,principles [13] principles,electronic [13] electronic,product [13] product,information Top Word Pairs in Tweet in G6:
[159] healthtech,ehealth [155] ehealth,digitalhealth [142] digitalhealth,robotics [121] human,doctor [120] trust,artificialintelligence [120] artificialintelligence,more [120] more,human [120] doctor,healthtech [74] robotics,industry40 [52] grattonboy,trust Top Word Pairs in Tweet in G7:
[75] yesterday,head [75] head,development [75] development,nicolaspettican [75] nicolaspettican,presented [75] presented,ehealth [75] ehealth,solution [75] solution,together [75] together,capgemini [75] capgemini,12 [75] 12,global Top Word Pairs in Tweet in G8:
[11] doctolib,lève [11] lève,150 [11] 150,millions [11] millions,d'euros [11] d'euros,auprès [11] auprès,generalatlantic [11] generalatlantic,bpi [11] bpi,eurazeo [11] eurazeo,accel [11] accel,kernel Top Word Pairs in Tweet in G9:
[12] eating,disorders [12] charlipsych,ehealth_janina [12] clinpsy_trainee,charlipsych [10] ehealth_janina,morrisscarly [9] ledc19,beyondtheroom [8] morrisscarly,tomjewell17 [7] anorexia,nervosa [7] top,ledc19 [7] ledc19,tweeters [7] tweeters,follow Top Word Pairs in Tweet in G10:
[7] department,digital [7] digital,health [5] health,much [5] much,needed [5] needed,entity [5] entity,need [5] need,globally [5] globally,much [5] much,mhealth [5] mhealth,healthit 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 G5:
Top Replied-To in G6:
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: