The graph represents a network of 3,759 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, 15 June 2020 at 06:32 UTC.
The requested start date was Monday, 15 June 2020 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 6-day, 5-hour, 17-minute period from Sunday, 07 June 2020 at 06:15 UTC to Saturday, 13 June 2020 at 11:33 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 : 3759
Unique Edges : 4759
Edges With Duplicates : 9923
Total Edges : 14682
Number of Edge Types : 5
Retweet : 3354
MentionsInRetweet : 5783
Tweet : 1008
Mentions : 4236
Replies to : 301
Self-Loops : 1076
Reciprocated Vertex Pair Ratio : 0.0296226159880968
Reciprocated Edge Ratio : 0.057540725170783
Connected Components : 278
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 3121
Maximum Edges in a Connected Component : 13636
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.95242
Graph Density : 0.00053885222211415
Modularity : 0.443079
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,759 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, 15 June 2020 at 06:32 UTC.
The requested start date was Monday, 15 June 2020 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 6-day, 5-hour, 17-minute period from Sunday, 07 June 2020 at 06:15 UTC to Saturday, 13 June 2020 at 11:33 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 G2:
[197] seguimiento,#ehealth [185] #ehealth,#health [147] #doctors,#hospital [134] #hospital,#health [129] #health,#healthcareit [127] #healthcareit,#ehealth [117] ghirardieugenio,seguimiento [110] #digitalhealth,#ehealth [96] covid,19 [95] #ehealth,#healthcare Top Word Pairs in Tweet in G3:
[127] #ehealth,#health [92] covid,19 [67] ehealth,ontario [67] cdcemergency,cdc_ehealth [66] closer,look [61] two,full [56] full,time [52] time,jobs [51] cdcgov,cdc_ehealth [49] allowed,two Top Word Pairs in Tweet in G4:
[42] informes,médicos [33] elaborar,informes [24] médicos,veces [23] veces,rápido [22] nuestros,#webinar [22] #webinar,descubre [22] #ruta55,msd [22] msd,avalada [22] avalada,semergenap [21] semergenap,podrá Top Word Pairs in Tweet in G5:
[28] ehealth,inc [26] ransomware,attack [26] health,card [26] #ehealth,#health [26] attack,potentially [26] potentially,catastrophic [22] card,holders [22] ehealth,ransomware [22] catastrophic,sask [22] sask,health Top Word Pairs in Tweet in G6:
[22] dr_tyw,imagesharfadi93 [20] govumarganduje,dr_tyw [17] kanostateng,govumarganduje [16] knsmoh,kanostateng [16] ncdcgov,dawisu [16] dawisu,fmohnigeria [16] ncdcgov,fmohnigeria [15] imagesharfadi93,ncdcgov [14] fmohnigeria,ptfcovid19 [14] ptfcovid19,ehealth_africa Top Word Pairs in Tweet in G7:
[91] adopted,conclusions [88] shaping,europe [64] eu,#digital [60] #digital,strategy [47] strategy,today [47] today,council [43] council,adopted [41] conclusions,shaping [39] europe,digital [39] digital,future Top Word Pairs in Tweet in G8:
[50] native,american [50] american,tribes [44] tribes,organizations [44] organizations,seeking [44] seeking,coronavirus [44] coronavirus,data [44] data,spring [44] spring,face [44] face,barriers [44] politico,native Top Word Pairs in Tweet in G9:
[69] ehealth,honourable [68] honourable,minister [68] minister,communications [68] communications,#digitaleconomy [68] #digitaleconomy,drisapantami [68] received,update [68] update,virtually [68] drisapantami,today [68] today,received [67] fmocdenigeria,ehealth Top Word Pairs in Tweet in G10:
[42] digileaders,webinar [42] webinar,19 [42] 19,06 [42] 06,2020 [42] 2020,near [42] near,experience [42] experience,rapid [41] rapid,scale [41] scale,scotland [40] scotland,hazelarcher 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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