The graph represents a network of 3,712 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, 20 November 2019 at 23:46 UTC.
The requested start date was Tuesday, 19 November 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 5-day, 15-hour, 0-minute period from Wednesday, 13 November 2019 at 09:49 UTC to Tuesday, 19 November 2019 at 00:49 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 : 3712
Unique Edges : 5723
Edges With Duplicates : 3408
Total Edges : 9131
Number of Edge Types : 3
Mentions : 7835
Tweet : 1106
Replies to : 190
Self-Loops : 1106
Reciprocated Vertex Pair Ratio : 0.0422463522225993
Reciprocated Edge Ratio : 0.0810678821422758
Connected Components : 295
Single-Vertex Connected Components : 147
Maximum Vertices in a Connected Component : 2881
Maximum Edges in a Connected Component : 8104
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.583513
Graph Density : 0.000445945302409426
Modularity : 0.577917
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,712 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, 20 November 2019 at 23:46 UTC.
The requested start date was Tuesday, 19 November 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 5-day, 15-hour, 0-minute period from Wednesday, 13 November 2019 at 09:49 UTC to Tuesday, 19 November 2019 at 00:49 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : ehealth
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[260] enricomolinari,#ehealth [210] ty,wef [210] wef,enricomolinari [187] enricomolinari,#healthtech [173] #healthtech,#medtech [166] #ehealth,#digitalhealth [158] #ehealth,#medtech [158] #healthtech,#ehealth [148] ty,techinsider [148] techinsider,enricomolinari Top Word Pairs in Tweet in G1:
[250] enricomolinari,#ehealth [203] ty,wef [203] wef,enricomolinari [180] enricomolinari,#healthtech [151] #healthtech,#medtech [142] ty,techinsider [142] techinsider,enricomolinari [128] #ehealth,#medtech [124] #healthtech,#ehealth [112] #medtech,#ehealth Top Word Pairs in Tweet in G2:
[85] seguimiento,sobre [85] sobre,#ehealth [83] #ehealth,#healthcare [80] #healthcareit,#ehealth [77] #healthcare,#digitalhealth [67] #doctors,#hospital [67] #health,#healthcareit [66] #hospital,#health [58] saludigital_es,#ehealth [44] #emrsystems,#doctors Top Word Pairs in Tweet in G3:
[10] #ärzte,treiben [10] treiben,#digitalisierung [10] #digitalisierung,voran [10] voran,dermatologen [10] dermatologen,zeigen [10] zeigen,ihrer [10] ihrer,#leitlinie [10] #leitlinie,#telemedizin [10] last,call [9] #gesundheitsapps,#diabetiker Top Word Pairs in Tweet in G4:
[33] cdc_ehealth,cdcgov [28] chesaboudin,ayannapressley [28] ayannapressley,londonbreed [28] londonbreed,speakerpelosi [28] speakerpelosi,gavinnewsom [28] gavinnewsom,realdonaldtrump [28] realdonaldtrump,donaldjtrumpjr [28] cdcemergency,cdc_ehealth [27] donaldjtrumpjr,cdcemergency [20] potus,cdc_ehealth Top Word Pairs in Tweet in G5:
[10] ehealth,ehth [9] #digitalhealth,#ehealth [8] https,t [8] t,co [8] ehealth,nsw's [8] nsw's,new [8] new,service [8] service,management [8] management,platform [8] platform,used Top Word Pairs in Tweet in G6:
[60] digital,health [45] health,world [45] world,congress [45] congress,2019 [45] 2019,book [45] book,now [45] now,london [45] london,nov [45] nov,27 [45] 27,28 Top Word Pairs in Tweet in G7:
[52] msd_es,#innovación [29] #innovación,cómo [26] conozca,opinión [25] #innovación,está [25] está,interesado [25] interesado,nuevos [25] nuevos,avances [25] avances,innovación [25] innovación,salud [25] salud,conozca Top Word Pairs in Tweet in G8:
[15] exploring,convergence [15] convergence,#iot [15] #iot,#patientsafety [15] #patientsafety,https [15] https,t [15] t,co [14] #cio,#ciso [14] #ciso,#cto [14] #cto,#cdo [14] #cdo,#hit Top Word Pairs in Tweet in G9:
[38] ehealth,ontario [36] health,shared [36] shared,services [34] ontario,healthforceontario [32] cancercare_on,ehealth [32] hqontario,health [31] looking,forward [31] forward,welcoming [31] welcoming,cancercare_on [31] healthforceontario,hqontario Top Word Pairs in Tweet in G10:
[22] devsnu,_knaw [22] nwonieuws,zonmw [17] _knaw,nfu_ehealth [17] nfu_ehealth,nwonieuws [15] digitalisatie,xerostomie [15] xerostomie,ik [15] ik,er [15] er,met [15] met,meer [15] meer,geluk Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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:
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Top Tweeters in G10: