The graph represents a network of 4,609 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 September 2021 at 05:19 UTC.
The requested start date was Monday, 20 September 2021 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 13-day, 11-hour, 4-minute period from Monday, 06 September 2021 at 00:04 UTC to Sunday, 19 September 2021 at 11:08 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 : 4609
Unique Edges : 4552
Edges With Duplicates : 14471
Total Edges : 19023
Number of Edge Types : 5
Mentions : 5776
Replies to : 522
Retweet : 3991
MentionsInRetweet : 6875
Tweet : 1859
Self-Loops : 1951
Reciprocated Vertex Pair Ratio : 0.0421440261865794
Reciprocated Edge Ratio : 0.0808794660384766
Connected Components : 371
Single-Vertex Connected Components : 178
Maximum Vertices in a Connected Component : 3676
Maximum Edges in a Connected Component : 17744
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.539009
Graph Density : 0.000359775032545021
Modularity : 0.354536
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,609 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 September 2021 at 05:19 UTC.
The requested start date was Monday, 20 September 2021 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 13-day, 11-hour, 4-minute period from Monday, 06 September 2021 at 00:04 UTC to Sunday, 19 September 2021 at 11:08 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:
[340] seguimiento,#ehealth [330] digital,health [294] #impinv,#vc [277] #ehealth,#health [228] add'l,biozhena [228] biozhena,file [226] biozhena,files [202] #digitalhealth,#ehealth [179] mashable,enricomolinari [173] covid,19 Top Word Pairs in Tweet in G1:
[294] #impinv,#vc [265] #ehealth,#health [258] digital,health [228] add'l,biozhena [228] biozhena,file [226] biozhena,files [179] mashable,enricomolinari [164] #digitalhealth,#ehealth [155] file,downloads [149] #vc,#obgyn Top Word Pairs in Tweet in G2:
[97] cdcemergency,cdc_ehealth [63] cdcgov,cdc_ehealth [57] covid,19 [46] cdc_ehealth,cdcemergency [42] cdcgov,cdcemergency [30] cdcdirector,cdc_ehealth [24] cdc_ehealth,cdcflu [23] fda,cdcemergency [23] cdcdirector,cdcemergency [22] potus,vp Top Word Pairs in Tweet in G3:
[9] ehealth,inc [8] learn,more [8] ehealth,zagreb [7] developer,ehealth [6] keto,diet [6] zagreb,split [6] split,osijek [5] ehealth,literacy [5] ehealth,investigation [5] investigation,initiated Top Word Pairs in Tweet in G4:
[88] matt,anderson [76] ehealth,ontario [53] behind,ehealth [53] ontario,scandal [50] anderson,behind [49] uoft_dlsph,ontariohealthoh [49] ontariohealthoh,matt [42] celliottability,fordnation [41] fordnation,uoft_dlsph [41] scandal,ontario Top Word Pairs in Tweet in G5:
[41] ekemma,nighealthwatch [37] epiafric,ekemma [32] applications,open [32] open,2021 [32] 2021,female [32] female,cohort [32] cohort,ehealth_africa [32] ehealth_africa,internship [32] internship,programme [32] programme,targets Top Word Pairs in Tweet in G6:
[67] ehealth,saskatchewan [56] skgov,ehealth [56] saskatchewan,currently [56] currently,experiencing [56] experiencing,very [56] very,high [56] high,call [56] call,volumes [56] volumes,individuals [56] individuals,wanting Top Word Pairs in Tweet in G7:
[16] nou,bezwen [10] digital,health [8] #stoa,event [8] 'putting,'e' [8] 'e',#ehealth' [8] #euhealthdataspace,#blockchain [8] health,data [8] data,space [8] bezwen,repons [8] repons,pou Top Word Pairs in Tweet in G8:
[26] steffenschwalm,mlangguth [23] thomasw18333381,mhealthdata [22] ulrich54860568,modi_dino [22] modi_dino,botte43343577 [22] botte43343577,vmuecke_k [22] vmuecke_k,thomasw18333381 [22] mlangguth,ulrich54860568 [17] mhealthdata,temmingreinhild [16] modi_dino,thomasw18333381 [15] blankfx_,smuellermielitz Top Word Pairs in Tweet in G9:
[12] terveyspalveluiden,opetus [12] #medigi,hankkeessa [12] hankkeessa,tuotettu [12] kansallinen,ehealth [9] past,present [9] present,future [9] carol,chouinard [9] chouinard,roisin [9] roisin,doherty [9] doherty,derick Top Word Pairs in Tweet in G10:
[2] phaboard,healthallegheny [2] surgeon_general,cdc_ehealth 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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