The graph represents a network of 2,802 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 Tuesday, 22 October 2019 at 21:38 UTC.
The requested start date was Tuesday, 22 October 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 4-day, 13-hour, 25-minute period from Thursday, 17 October 2019 at 10:35 UTC to Tuesday, 22 October 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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[307] #onmedic,#ehealth [287] #ehealth,#onmedic [287] #onmedic,#pharma [235] #ehealth,#pharma [227] #healthtech,#ehealth [172] wed,23 [171] 10,19 [171] sign,up [171] #ehealth,#healthtech [170] #digitaltransformation,#lifecsience Top Word Pairs in Tweet in G1:
[160] #healthtech,#ehealth [140] #ehealth,#healthtech [127] ty,mashable [126] v,enricomolinari [94] #ar,#vr [90] #healthtech,#medtech [79] #ehealth,#ar [75] ty,wef [75] enricomolinari,#ehealth [74] #robotics,#digital Top Word Pairs in Tweet in G2:
[143] wed,23 [142] #digitaltransformation,#lifecsience [142] #lifecsience,#meetup [142] #meetup,wed [142] 23,10 [142] 10,19 [142] miss,sign [142] sign,up [142] up,free [142] free,now Top Word Pairs in Tweet in G3:
[25] #digitaltransformation,#lifecsience [25] #lifecsience,#meetup [25] #meetup,wed [25] wed,23 [25] 23,10 [25] 10,19 [25] 19,#zurich [25] #zurich,miss [25] miss,sign [25] sign,up Top Word Pairs in Tweet in G4:
[267] #onmedic,#ehealth [239] #ehealth,#onmedic [239] #onmedic,#pharma [205] #ehealth,#pharma [131] #ehealth,#sec19 [69] safe,self [69] self,administration [69] administration,devices [65] área,#ehealth [63] medicina,25 Top Word Pairs in Tweet in G5:
[13] digital,health [12] out,latest [10] jaarcongres,ihenl [10] rsonederland,15 [10] 15,11 [10] population,health [9] ihenl,rsonederland [9] european,commission [8] new,eu [8] eu,#ehealth Top Word Pairs in Tweet in G6:
[12] ehealth,inc [11] inc,ehth [6] ehealth,ehth [6] ehealth,target [6] target,unusually [6] unusually,large [6] large,options [6] options,trading [6] trading,ehth [5] #digitalhealth,#ehealth Top Word Pairs in Tweet in G7:
[25] gonna,game [25] game,changer [25] changer,field [25] field,#digitalhealth [25] #digitalhealth,germany [25] germany,new [25] new,digital [25] digital,health [25] health,law [25] law,allow Top Word Pairs in Tweet in G8:
[16] #digitalhealth,#ehealth [12] #ehealth,#healthit [11] #healthit,#medtech [11] #medtech,#healthtech [7] jmirpub,#digitalhealth [5] mooi,voorbeeld [5] voorbeeld,van [5] van,evidence [5] evidence,based [5] based,#ehealth Top Word Pairs in Tweet in G9:
[6] learn,more [5] week,senior [5] senior,management [5] management,team [5] team,held [5] held,2020 [5] 2020,planning [5] planning,retreat [5] retreat,ready [5] ready,next Top Word Pairs in Tweet in G10:
[9] bundesverband,internetmedizin [8] esinekalos,#herzheldin [8] #herzheldin,ihr [8] ihr,folgen [8] folgen,solltet [8] solltet,wenn [8] wenn,ihr [8] ihr,ehealth [8] ehealth,ki [8] ki,zusammendenkt 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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Top Tweeters in G10: