The graph represents a network of 3,066 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, 24 June 2019 at 16:01 UTC.
The requested start date was Monday, 24 June 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, 10-hour, 27-minute period from Tuesday, 18 June 2019 at 13:09 UTC to Sunday, 23 June 2019 at 23:37 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 : 3066
Unique Edges : 5145
Edges With Duplicates : 2897
Total Edges : 8042
Number of Edge Types : 3
Mentions : 6783
Tweet : 1135
Replies to : 124
Self-Loops : 1135
Reciprocated Vertex Pair Ratio : 0.0331716779825412
Reciprocated Edge Ratio : 0.0642132932782576
Connected Components : 258
Single-Vertex Connected Components : 129
Maximum Vertices in a Connected Component : 2493
Maximum Edges in a Connected Component : 7413
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.265313
Graph Density : 0.000566759140135082
Modularity : 0.547267
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[412] #onmedic,#ehealth [338] #ehealth,#pharma [321] #ehealth,#onmedic [318] #onmedic,#pharma [147] sickle,cell [131] digital,health [104] ehealth,africa [100] sobre,#ehealth [100] human,chip [100] chip,model Top Word Pairs in Tweet in G1:
[27] #digitalhealth,#ehealth [20] e,health [20] thanx,following [20] following,wish [20] wish,good [20] good,discussion [20] discussion,#digitaltransformation [20] #digitaltransformation,#bigdata [19] #bigdata,#ehealth [18] ghirardieugenio,seguimiento Top Word Pairs in Tweet in G2:
[52] digital,health [44] today,doctors [44] doctors,#luxembourg [44] #luxembourg,receive [44] receive,digital [44] health,summaries [44] summaries,patients [44] patients,coming [44] coming,#czechia [44] #czechia,health Top Word Pairs in Tweet in G3:
[76] #ehealth,#digitalhealth [66] #healthtech,#ehealth [61] #healthcare,#health [61] #connectedhealth,#healthtech [57] #mobilehealth,#ai [57] #ai,#machinelearning [57] #machinelearning,#healthcareit [51] #digitalhealth,#ehealth [48] #health,#digitalhealth [47] thanx,following Top Word Pairs in Tweet in G4:
[19] #onmedic,#ehealth [15] #ehealth,#pharma [14] digital,health [14] #ehealth,#onmedic [14] #onmedic,#pharma [12] session,challenges [12] sickle,cell [10] excited,oncologynursing [10] oncologynursing,cancernurseeu's [10] cancernurseeu's,session Top Word Pairs in Tweet in G5:
[11] cdc_ehealth,cdc_cancer [8] cdcgov,cdc_ehealth [8] ubricake,ubricoin1 [8] global,health [7] #ehealth,#mhealth [7] cdc_ehealth,cdcgov [5] health,care [5] ubricoin1,cdc_ehealth [4] #mhealth,#patientsafety [4] #menshealth,#womenshealth Top Word Pairs in Tweet in G6:
[18] ehealth,inc [11] ehealth,expo [8] power,synergy [8] vendors,integrate [8] integrate,technologies [7] synergy,health [7] health,vendors [7] technologies,queensland [7] queensland,ehealth [7] ehth,ehealth Top Word Pairs in Tweet in G7:
[360] #onmedic,#ehealth [295] #ehealth,#pharma [270] #ehealth,#onmedic [270] #onmedic,#pharma [86] human,chip [86] chip,model [86] model,tests [86] tests,cancer [86] cancer,drug [86] drug,efficacy Top Word Pairs in Tweet in G8:
[34] #campussanofi,#ehealth [15] promoción,#salud [12] #salud,nos [9] #santé,#esanté [9] #esanté,#health [9] construyendo,sistema [9] sistema,digital [9] digital,salud [9] salud,posible [9] posible,pierdas Top Word Pairs in Tweet in G9:
[79] sickle,cell [57] ehealth,africa [56] africa,donating [35] commended,ehealth [32] donating,rapid [32] rapid,diagnostic [32] diagnostic,kits [32] detecting,sickle [32] cell,genotype [31] 2,commended Top Word Pairs in Tweet in G10:
[18] ict,health [18] health,#icthealth [18] #icthealth,#zorg [17] #zorg,#ehealth [14] zorg,op [13] op,afstand [12] abn,amro [10] e,health [10] implementatie,van [9] 4,juli 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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