The graph represents a network of 3,429 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, 24 December 2019 at 01:11 UTC.
The requested start date was Tuesday, 24 December 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 7-day, 11-hour, 17-minute period from Monday, 16 December 2019 at 01:20 UTC to Monday, 23 December 2019 at 12:38 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 : 3429
Unique Edges : 5472
Edges With Duplicates : 3246
Total Edges : 8718
Number of Edge Types : 4
Mentions : 2173
MentionsInRetweet : 5280
Tweet : 1165
Replies to : 100
Self-Loops : 1165
Reciprocated Vertex Pair Ratio : 0.0375402216660708
Reciprocated Edge Ratio : 0.0723638869745003
Connected Components : 307
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 2709
Maximum Edges in a Connected Component : 7858
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.225867
Graph Density : 0.00049376363932727
Modularity : 0.554039
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 3,429 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, 24 December 2019 at 01:11 UTC.
The requested start date was Tuesday, 24 December 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 7-day, 11-hour, 17-minute period from Monday, 16 December 2019 at 01:20 UTC to Monday, 23 December 2019 at 12:38 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[424] enricomolinari,#ehealth [278] #ehealth,#medtech [235] #iot,#ai [226] #ehealth,#digitalhealth [187] #healthtech,#ehealth [181] seguimiento,#ehealth [178] ty,intengineering [177] intengineering,enricomolinari [163] enricomolinari,#iot [155] tictoc,enricomolinari Top Word Pairs in Tweet in G1:
[406] enricomolinari,#ehealth [235] #ehealth,#medtech [228] #iot,#ai [171] ty,intengineering [170] intengineering,enricomolinari [157] enricomolinari,#iot [150] tictoc,enricomolinari [146] ww's,first [146] first,full [146] full,body Top Word Pairs in Tweet in G2:
[177] seguimiento,#ehealth [86] #ehealth,#digitalhealth [73] #digitalhealth,#ehealth [69] ghirardieugenio,seguimiento [66] digital,health [56] #ehealth,#healthcare [51] #healthcare,#digitalhealth [45] #doctors,#hospital [45] #hospital,#health [45] #health,#healthcareit Top Word Pairs in Tweet in G3:
[85] saludigital_es,#ehealth [35] #ehealth,#esalud [31] #podcast,#podcasting [28] #campussanofi,#ehealth [25] #mpoc,#copd [25] #copd,#ehealth [21] #medicina,4p [21] 4p,predictiva [21] predictiva,preventiva [21] preventiva,personalizada Top Word Pairs in Tweet in G4:
[49] security,privacy [47] lifelabs,cyberattack [47] cyberattack,one [45] 'several,wake [45] wake,calls' [44] one,'several [43] ehealth,security [38] calls',ehealth [15] privacy,cbc [14] cbc,news Top Word Pairs in Tweet in G5:
[37] ontario,health [34] ehealth,ontario [33] electronic,health [32] #onhealth,crisis [29] health,care [28] push,implement [28] implement,electronic [28] health,records [28] records,modernize [28] modernize,health Top Word Pairs in Tweet in G6:
[18] cdcgov,cdc_ehealth [16] cdc_ehealth,medscape [7] smokersrights1,cdcgov [7] raylacko,cdcgov [3] santamonicapd,#heavymetals [3] #heavymetals,poisoning [3] poisoning,#arsenic [3] #arsenic,#manganese [3] #manganese,#cadmium [3] #cadmium,#lead Top Word Pairs in Tweet in G7:
[16] joint,ehealth [16] ehealth,ireland [13] ireland,northern [13] northern,ireland [12] 4th,joint [10] ireland,connected [10] connected,health [8] cut,chase [8] chase,season's [8] season's,greetings Top Word Pairs in Tweet in G8:
[8] 2021,fast [8] fast,alle [8] alle,akteure [8] akteure,gesundheitswesen [8] gesundheitswesen,vernetzt [8] vernetzt,streit [8] streit,#datenschutz [8] #datenschutz,regeln [8] regeln,sorgt [7] prof,gerlach Top Word Pairs in Tweet in G9:
[9] last,month [9] month,pleasure [9] pleasure,train [9] train,27 [9] 27,engineers [9] engineers,ehealth_africa [9] ehealth_africa,kano [9] kano,nigeria [9] nigeria,six [9] six,day Top Word Pairs in Tweet in G10:
[9] zien,hoe [8] dat,heeft [8] heeft,zeker [8] zeker,meerwaarde [8] meerwaarde,gebeurt [8] gebeurt,ook [8] ook,partijen [8] partijen,zoals [8] zoals,nell_2018 [8] nell_2018,orchahealth 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 G5:
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: