The graph represents a network of 4,950 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, 02 August 2021 at 05:26 UTC.
The requested start date was Monday, 02 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 12-day, 17-hour, 2-minute period from Monday, 19 July 2021 at 18:16 UTC to Sunday, 01 August 2021 at 11:19 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 : 4950
Unique Edges : 6561
Edges With Duplicates : 17598
Total Edges : 24159
Number of Edge Types : 5
Retweet : 4323
MentionsInRetweet : 9277
Mentions : 8051
Replies to : 629
Tweet : 1879
Self-Loops : 1929
Reciprocated Vertex Pair Ratio : 0.0271587743732591
Reciprocated Edge Ratio : 0.0528813559322034
Connected Components : 369
Single-Vertex Connected Components : 172
Maximum Vertices in a Connected Component : 3990
Maximum Edges in a Connected Component : 22687
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.354569
Graph Density : 0.000421470718500421
Modularity : 0.377524
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,950 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, 02 August 2021 at 05:26 UTC.
The requested start date was Monday, 02 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 12-day, 17-hour, 2-minute period from Monday, 19 July 2021 at 18:16 UTC to Sunday, 01 August 2021 at 11:19 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:
[394] #ehealth,#health [342] cdcdirector,cdc_ehealth [338] wef,enricomolinari [333] seguimiento,#ehealth [317] biozhena,files [316] #impinv,#vc [309] #loveisnottourism,cdcgov [307] cdcgov,cdctravel [300] digital,health [288] cdctravel,cdcdirector Top Word Pairs in Tweet in G1:
[340] cdcdirector,cdc_ehealth [309] #loveisnottourism,cdcgov [307] cdcgov,cdctravel [288] cdctravel,cdcdirector [234] cdc_ehealth,whcovidresponse [133] whcovidresponse,aslavitt46 [131] potus,vp [107] surgeon_general,presssec [107] presssec,potus [105] secblinken,secretarypete Top Word Pairs in Tweet in G2:
[385] #ehealth,#health [333] seguimiento,#ehealth [316] #impinv,#vc [313] biozhena,files [241] digital,health [239] add'l,biozhena [238] files,downloads [165] biozhena,file [159] #ehealth,#obgyn [159] #obgyn,#impinv Top Word Pairs in Tweet in G3:
[310] wef,enricomolinari [132] enricomolinari,top [121] #ehealth,#marketing [121] enricomolinari,#ehealth [111] #marketing,#fintech [90] #fintech,#esg [89] top,50 [89] 50,innovative [89] innovative,companies [89] companies,2021 Top Word Pairs in Tweet in G4:
[99] matt,anderson [68] ehealth,ontario [60] behind,ehealth [59] ontario,scandal [58] uoft_dlsph,ontariohealthoh [58] anderson,behind [43] scandal,ontario [43] ontario,lost [43] lost,billion [41] billion,aldasteinn Top Word Pairs in Tweet in G5:
[19] ehealth,inc [14] covid,19 [11] ehth,ehealth [10] ehealth,sask [10] ehealth,collaborative [9] massachusetts,ehealth [8] q2,2021 [8] earnings,call [7] collaborative,dissolves [7] dissolves,saying Top Word Pairs in Tweet in G6:
[8] dismantlegop,robertjlundberg [8] robertjlundberg,suzyqfit4u [8] peaceandteachin,suziebird4 [8] suziebird4,openpodbaydoor_ [8] openpodbaydoor_,bluebabzz [6] suzyqfit4u,susanlynch22 [6] susanlynch22,peaceandteachin [6] yoksig,dismantlegop [5] flotus,come [5] come,japan Top Word Pairs in Tweet in G7:
[114] personas,vacunadas [113] covid,pandemia [113] pandemia,personas [113] vacunadas,director [113] director,centros [113] centros,control [112] gonzamoratorio,covid [112] control,prev [63] gonzamoratorio,cdc_ehealth [13] germanbolso1984,gonzamoratorio Top Word Pairs in Tweet in G8:
[14] ehealth,sask [14] national,vaccine [14] vaccine,passport [13] covid,19 [13] 19,ehealth [13] sask,working [13] working,feds [13] feds,national [10] covid19,vaccines [10] cdcgov,cdc_ehealth Top Word Pairs in Tweet in G9:
[120] ahipcoverage,ehealth [120] ehealth,hi_daily [119] hi_daily,healthcaregov [119] healthcaregov,uhc [117] uhc,hlthinsurance [89] driving,health [49] jkineman,thomaskaine5 [46] thomaskaine5,yes [46] yes,ahipcoverage [46] hlthinsurance,unvaxxed Top Word Pairs in Tweet in G10:
[13] consellera,gvainnova [13] público,privada [12] jornada,'ehealth [12] 'ehealth,future' [10] estat,plaer [10] plaer,presentar [10] presentar,amb [10] amb,consellera [10] gvainnova,carolina [10] carolina,pascual Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: