The graph represents a network of 4,204 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, 05 April 2021 at 05:07 UTC.
The requested start date was Monday, 05 April 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 10-day, 3-hour, 32-minute period from Thursday, 25 March 2021 at 08:54 UTC to Sunday, 04 April 2021 at 12:27 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 : 4204
Unique Edges : 4791
Edges With Duplicates : 16175
Total Edges : 20966
Number of Edge Types : 5
Mentions : 4344
Retweet : 5170
MentionsInRetweet : 9780
Tweet : 1319
Replies to : 353
Self-Loops : 1388
Reciprocated Vertex Pair Ratio : 0.0277849573533213
Reciprocated Edge Ratio : 0.0540676474286433
Connected Components : 311
Single-Vertex Connected Components : 158
Maximum Vertices in a Connected Component : 3440
Maximum Edges in a Connected Component : 19673
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.186122
Graph Density : 0.000450099867499835
Modularity : 0.32876
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 4,204 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, 05 April 2021 at 05:07 UTC.
The requested start date was Monday, 05 April 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 10-day, 3-hour, 32-minute period from Thursday, 25 March 2021 at 08:54 UTC to Sunday, 04 April 2021 at 12:27 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:
[767] wef,enricomolinari [725] mashable,enricomolinari [293] enricomolinari,#renewables [270] #insurtech,#proptech [248] #ai,#ehealth [235] #renewables,#fintech [235] #proptech,#regtech [230] #regtech,#blockchain [226] #iot,#iiot [218] seguimiento,#ehealth Top Word Pairs in Tweet in G1:
[719] wef,enricomolinari [680] mashable,enricomolinari [279] enricomolinari,#renewables [270] #insurtech,#proptech [235] #proptech,#regtech [230] #regtech,#blockchain [225] #renewables,#fintech [200] #ai,#iot [194] gigadgets_,enricomolinari [193] #iiot,#bigdata Top Word Pairs in Tweet in G2:
[218] seguimiento,#ehealth [157] biozhena,files [143] #ehealth,#health [131] files,downloads [113] add'l,biozhena [106] #impinv,#vc [95] ghirardieugenio,seguimiento [85] digital,health [74] #ehealth,#impinv [74] #vc,#obgyn Top Word Pairs in Tweet in G3:
[58] cdcgov,cdcdirector [51] cdcgov,cdc_ehealth [48] potus,flotus [43] please,give [43] couples,families [43] families,exemption [43] exemption,nie [43] nie,reunite [43] reunite,more [43] more,13months Top Word Pairs in Tweet in G4:
[63] ehealth,ontario [56] matt,anderson [41] behind,ehealth [37] uoft_dlsph,ontariohealthoh [33] anderson,behind [32] ontario,scandal [31] remember,ehealth [31] ontario,billion [31] billion,lost [31] lost,ontarians Top Word Pairs in Tweet in G5:
[28] ca,ehealth [28] ehealth,performance [28] performance,manager [23] activist,investor [23] pushes,directors [20] investor,snaps [20] snaps,shares [20] shares,ehealth [20] ehealth,pushes [19] cve,2021 Top Word Pairs in Tweet in G6:
[11] libresdecovid,_g_l_m [11] _g_l_m,co2covid [11] badiolajuan,javier_carrerah [11] noriega_dr,ehealth_eu [10] ehealth_eu,jmfandinoorg [9] trust,#digitalhealth [9] #digitalhealth,vital [9] vital,enable [9] enable,better [9] better,collaboration Top Word Pairs in Tweet in G7:
[46] #iot,#iiot [40] #rstats,#reactjs [39] #reactjs,#iot [33] #ai,#python [33] #python,#rstats [33] #linux,#serverless [26] #nlp,#linux [25] #technews,#technologynews [21] #analytics,#ar [21] #ar,#vr Top Word Pairs in Tweet in G8:
[7] meet,world [5] book,fully [5] fully,funded [5] funded,place [5] rjonesplymouth,epic_ehealth [5] pleased,part [5] part,epic_ehealth's [5] epic_ehealth's,#meettheworld [5] #meettheworld,series [5] series,aims Top Word Pairs in Tweet in G9:
[64] #health,#healthcareit [59] #healthcareit,#ehealth [57] #ehealth,#healthcare [53] #healthcare,#digitalhealth [28] smartphone,#ecg [28] #ecg,detecting [28] detecting,#atrialfibrillation [28] #atrialfibrillation,cerebral [28] cerebral,ischaemic [28] ischaemic,event Top Word Pairs in Tweet in G10:
[19] ncdcgov,chikwe_i [18] chikwe_i,fmohnigeria [17] fmohnigeria,fmicnigeria [13] nighealthwatch,whonigeria [11] fmicnigeria,nphcdang [11] nphcdang,nighealthwatch [11] whonigeria,ptfcovid19 [10] ptfcovid19,nmanigeria [10] nmanigeria,resolvetsl [7] whonigeria,ehealth_africa Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: