The graph represents a network of 3,210 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, 09 August 2021 at 05:18 UTC.
The requested start date was Monday, 09 August 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 8-day, 11-hour, 6-minute period from Monday, 26 July 2021 at 00:02 UTC to Tuesday, 03 August 2021 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 : 3210
Unique Edges : 4182
Edges With Duplicates : 10038
Total Edges : 14220
Number of Edge Types : 5
Retweet : 2399
MentionsInRetweet : 5115
Mentions : 5153
Tweet : 1154
Replies to : 399
Self-Loops : 1186
Reciprocated Vertex Pair Ratio : 0.0239511584220413
Reciprocated Edge Ratio : 0.0467818376395047
Connected Components : 259
Single-Vertex Connected Components : 135
Maximum Vertices in a Connected Component : 2537
Maximum Edges in a Connected Component : 13183
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.531465
Graph Density : 0.000634993675303784
Modularity : 0.395518
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,210 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, 09 August 2021 at 05:18 UTC.
The requested start date was Monday, 09 August 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 8-day, 11-hour, 6-minute period from Monday, 26 July 2021 at 00:02 UTC to Tuesday, 03 August 2021 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:
[238] #ehealth,#health [196] cdcdirector,cdc_ehealth [193] seguimiento,#ehealth [188] #impinv,#vc [185] digital,health [165] cdcgov,cdctravel [161] cdctravel,cdcdirector [149] #loveisnottourism,cdcgov [144] add'l,biozhena [144] biozhena,file Top Word Pairs in Tweet in G1:
[236] #ehealth,#health [193] seguimiento,#ehealth [188] #impinv,#vc [150] digital,health [144] add'l,biozhena [144] biozhena,file [140] biozhena,files [105] files,downloads [97] file,downloads [94] #ehealth,#impinv Top Word Pairs in Tweet in G2:
[189] cdcdirector,cdc_ehealth [165] cdcgov,cdctravel [161] cdctravel,cdcdirector [149] #loveisnottourism,cdcgov [104] cdc_ehealth,whcovidresponse [95] cdcemergency,cdc_ehealth [66] potus,vp [58] cdcgov,cdc_ehealth [56] cdcgov,cdcdirector [54] surgeon_general,presssec Top Word Pairs in Tweet in G3:
[69] matt,anderson [46] ehealth,ontario [45] uoft_dlsph,ontariohealthoh [43] anderson,behind [43] behind,ehealth [42] ontario,scandal [27] scandal,ontario [26] ontario,lost [26] lost,billion [26] billion,aldasteinn Top Word Pairs in Tweet in G4:
[18] ehealth,inc [11] ehth,ehealth [8] earnings,call [7] q2,2021 [7] 2021,results [7] price,target [6] results,earnings [6] digital,transformation [6] transformation,lead [5] digital,health Top Word Pairs in Tweet in G5:
[70] ahipcoverage,ehealth [70] ehealth,hi_daily [69] hi_daily,healthcaregov [69] healthcaregov,uhc [67] uhc,hlthinsurance [56] driving,health [49] jkineman,thomaskaine5 [46] thomaskaine5,yes [46] yes,ahipcoverage [46] hlthinsurance,unvaxxed Top Word Pairs in Tweet in G6:
[8] cdcemergency,cdc_ehealth [6] cdcgov,cdcemergency [4] bbcbreaking,cnnbrk [4] cbsnews,cbsphilly [4] cbsphilly,cbsla [4] cdc_ehealth,cdcemergency [4] cdc_ehealth,amersocvirol [4] joebiden,borisjohnson [4] cdcdirector,cdc_ehealth [4] yahoonews,cdcgov Top Word Pairs in Tweet in G7:
[8] health,solution [8] solution,developer [8] developer,fill [8] fill,short [8] short,survey [8] survey,created [8] created,aalgot_it [8] aalgot_it,team [8] team,help [7] #resample,rrdnl Top Word Pairs in Tweet in G8:
[30] ncdcgov,whonigeria [30] whonigeria,africacdc [30] africacdc,afenetnigeria [30] afenetnigeria,resolvetsl [30] resolvetsl,whoafro [30] whoafro,phe_uk [30] phe_uk,ehealth_africa [30] ehealth_africa,uscdcnigeria [30] uscdcnigeria,ecowas_cdc [21] nighealthwatch,ncdcgov Top Word Pairs in Tweet in G9:
[16] inteligencia,artificial [14] saludigital_es,#ehealth [13] #ehealth,#digitalhealth [11] #ehealth,estimulación [11] estimulación,transcutánea [11] transcutánea,mejora [11] mejora,función [11] función,mano [11] mano,personas [11] personas,tetraplejía Top Word Pairs in Tweet in G10:
[10] 2021,#digitalhealth [10] #digitalhealth,finalists [10] finalists,prixgalien [10] prixgalien,challenge [10] challenge,decide [10] decide,results [10] results,10 [10] 10,28 [10] 28,nyc [10] nyc,each Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: