The graph represents a network of 2,337 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, 20 June 2022 at 05:31 UTC.
The requested start date was Monday, 20 June 2022 at 00:01 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 7-day, 2-hour, 47-minute period from Friday, 10 June 2022 at 08:22 UTC to Friday, 17 June 2022 at 11:09 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 : 2337
Unique Edges : 2699
Edges With Duplicates : 13405
Total Edges : 16104
Number of Edge Types : 5
Retweet : 4977
MentionsInRetweet : 5720
Mentions : 4481
Tweet : 792
Replies to : 134
Self-Loops : 2036
Reciprocated Vertex Pair Ratio : 0.0484790874524715
Reciprocated Edge Ratio : 0.0924750679963735
Connected Components : 174
Single-Vertex Connected Components : 81
Maximum Vertices in a Connected Component : 1839
Maximum Edges in a Connected Component : 15339
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.230129
Graph Density : 0.000808172285039361
Modularity : 0.224749
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,337 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, 20 June 2022 at 05:31 UTC.
The requested start date was Monday, 20 June 2022 at 00:01 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 7-day, 2-hour, 47-minute period from Friday, 10 June 2022 at 08:22 UTC to Friday, 17 June 2022 at 11:09 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:
[3569] #cx,#women [3566] #digitalhealth,#cx [3564] #women,#ehealth [3561] #des2022,#digitalhealth [3557] #datascientist,#mwc22 [3550] #mwc22,#ai [3544] #ai,#des2022 [3537] #healthtech,#datascientist [3536] #ehealth,#ces2023 [2352] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3288] #cx,#women [3285] #digitalhealth,#cx [3285] #women,#ehealth [3281] #des2022,#digitalhealth [3278] #datascientist,#mwc22 [3273] #mwc22,#ai [3268] #ai,#des2022 [3263] #ehealth,#ces2023 [3261] #healthtech,#datascientist [2082] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[182] #digitalhealth,#cx [182] #cx,#women [181] #des2022,#digitalhealth [180] #datascientist,#mwc22 [180] #women,#ehealth [178] #healthtech,#datascientist [178] #mwc22,#ai [177] #ai,#des2022 [174] #ehealth,#ces2023 [172] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[29] fda,cdc_ehealth [17] cdc_ehealth,cdcgov [13] cdc_ehealth,covid [13] onahunttoday,fda [12] us_fda,cdc_ehealth [12] covid,19 [12] medicare,advantage [10] #breakthesilence,hermelatv [10] hermelatv,althecat [10] althecat,afitz3105 Top Word Pairs in Tweet in G4:
[88] #ehealth,#healthcare [86] #healthcareit,#ehealth [86] #healthcare,#digitalhealth [84] #datascientist,#mwc22 [84] #mwc22,#ai [84] #ai,#des2022 [84] #des2022,#digitalhealth [84] #digitalhealth,#cx [84] #cx,#women [84] #women,#ehealth Top Word Pairs in Tweet in G5:
[5] medicare,advantage [4] advantage,plans [4] cas,digitale [4] digitale,transformation [3] #ehealth,#healthcare [3] 16,30h [3] plans,earn [3] earn,high [3] high,marks [3] marks,ehealth Top Word Pairs in Tweet in G6:
[9] citizens,actors [8] actors,#healthdata [8] addition,trust [8] trust,need [8] need,communication [7] engage,citizens [7] #digitalhealth,#ehealth [7] vcare_project,interopehrate [7] interopehrate,opendei_eu [6] #healthdata,addition Top Word Pairs in Tweet in G7:
[10] explanatory,workshop [9] ask,tique [9] tique,doubt [9] doubt,arisen [9] arisen,related [9] related,#callfortender [9] #callfortender,registration [9] registration,1st [9] 1st,explanatory [8] tiquepcp,ask Top Word Pairs in Tweet in G8:
[7] einladung,ehealth [7] ehealth,monitor [7] monitor,expertengespräch [7] expertengespräch,markus [7] markus,leyck [7] leyck,dieken [7] dieken,mleyckdieken [7] mleyckdieken,geschäftsführer [7] geschäftsführer,gematik1 [7] gematik1,gmbh Top Word Pairs in Tweet in G9:
[3] drpepper,goldfishsmiles [3] goldfishsmiles,lowes [3] lowes,academysportsc1 [3] academysportsc1,rackroomshoes [3] rackroomshoes,shoecarnival [3] shoecarnival,vp [3] vp,pepperidgefarm [3] pepperidgefarm,peta [3] peta,mikehostilo [3] mikehostilo,hideo_kojima_en Top Word Pairs in Tweet in G10:
[39] behind,#dapp [39] #dapp,long [39] long,term [39] term,vision [39] vision,#ehealth [39] #ehealth,read [39] read,thread [38] aimedisglobal,behind [38] thread,sh Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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: