The graph represents a network of 4,703 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, 18 January 2021 at 06:06 UTC.
The requested start date was Monday, 18 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 7-hour, 35-minute period from Monday, 04 January 2021 at 05:05 UTC to Sunday, 17 January 2021 at 12:40 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 : 4703
Unique Edges : 5326
Edges With Duplicates : 15007
Total Edges : 20333
Number of Edge Types : 5
Mentions : 5368
Tweet : 1825
MentionsInRetweet : 8122
Replies to : 454
Retweet : 4564
Self-Loops : 1888
Reciprocated Vertex Pair Ratio : 0.0339419475655431
Reciprocated Edge Ratio : 0.0656554222322843
Connected Components : 355
Single-Vertex Connected Components : 178
Maximum Vertices in a Connected Component : 3938
Maximum Edges in a Connected Component : 19241
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.038812
Graph Density : 0.000399484369416591
Modularity : 0.37486
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,703 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, 18 January 2021 at 06:06 UTC.
The requested start date was Monday, 18 January 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 7-hour, 35-minute period from Monday, 04 January 2021 at 05:05 UTC to Sunday, 17 January 2021 at 12:40 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:
[368] #ehealth,#health [339] seguimiento,#ehealth [332] enricomolinari,#ehealth [280] digital,health [229] covid,19 [220] #health,#healthcareit [211] #healthcareit,#ehealth [208] #ehealth,#healthcare [187] #healthcare,#digitalhealth [167] wef,enricomolinari Top Word Pairs in Tweet in G1:
[295] enricomolinari,#ehealth [143] wef,enricomolinari [128] #ai,#ehealth [101] digital,health [98] health,world [98] world,congress [98] congress,2021 [98] 30,31 [80] techinsider,enricomolinari [73] #ehealth,#ai Top Word Pairs in Tweet in G2:
[338] seguimiento,#ehealth [282] #ehealth,#health [218] #health,#healthcareit [209] #healthcareit,#ehealth [202] #ehealth,#healthcare [183] #healthcare,#digitalhealth [154] #ehr,#emr [150] covid,19 [141] ghirardieugenio,seguimiento [137] #digitalhealth,#ehr Top Word Pairs in Tweet in G3:
[36] cdcgov,cdc_ehealth [32] cdcgov,cdcemergency [32] cdcemergency,cdc_ehealth [22] cdc_ehealth,cdcgov [18] cdc_ehealth,cdcemergency [17] cdc_ehealth,cdcdirector [15] covid,19 [13] cdcflu,cdcglobal [11] fauci'sðÿ,reign [11] reign,ending Top Word Pairs in Tweet in G4:
[43] biozhena,file [41] phase,iii [38] file,downloads [38] mschlapp,cove [38] cove,strategies [32] hey,america [32] america,maybe [32] maybe,mschlapp [32] shouldn,more [32] lobbyist,dollars Top Word Pairs in Tweet in G5:
[115] matt,anderson [93] behind,ehealth [92] ehealth,ontario [89] ontario,scandal [80] scandal,ontario [80] ontario,lost [80] lost,billion [79] uoft_dlsph,ontariohealthoh [74] celliottability,fordnation [67] selected,ceo Top Word Pairs in Tweet in G6:
[27] #uhc,#publichealth [27] #webinars,#pandemic [27] #pandemic,#covid19 [25] #publichealth,#webinars [23] privacy,commissioner [11] ransomware,attack [11] ehealth,board [11] ms,padaca [10] dr,aguja [9] ehealth,cyberattack Top Word Pairs in Tweet in G7:
[34] #bigdata,#datascience [32] #analytics,#bigdata [29] #some4surgery,#some4hpb [28] sminaev2015,juliomayol [27] surgjournal,swexner [27] #ar,#vr [27] #vr,#mr [24] #iot,#iiot [23] #ai,#ml [23] ty,liii1414 Top Word Pairs in Tweet in G8:
[27] #datavcovid,#thecovidx [27] #thecovidx,#gameon [24] #ehealth,#covid19 [22] #tech,#ehealth [22] #innovation,#tech [22] #covid19,#coronavirus [18] #coronavirus,#datavcovid [13] #covidxwebinar,#innovation [12] #businessacceleration,#ehealth [12] #ehealth,#data Top Word Pairs in Tweet in G9:
[39] privacy,commissioner [35] private,health [26] sask,'s [24] 'hodge,podge' [24] podge',systems [24] systems,deemed [24] deemed,unfit [24] unfit,protect [24] health,data [24] data,cyberattacks Top Word Pairs in Tweet in G10:
[16] informe,idisalud [16] #saluddigital,#ehealth [12] #campussanofi,#saluddigital [10] #ehealth,#digitalhealth [9] rlifedata,#ehealth [7] segãºn,informe [7] idisalud,tener [7] tener,esperar [7] esperar,mucho [7] mucho,conseguir 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 G7:
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: