The graph represents a network of 4,624 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, 06 September 2021 at 05:20 UTC.
The requested start date was Monday, 06 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, 10-hour, 13-minute period from Monday, 23 August 2021 at 01:07 UTC to Sunday, 05 September 2021 at 11:21 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 : 4624
Unique Edges : 4801
Edges With Duplicates : 14529
Total Edges : 19330
Number of Edge Types : 5
Mentions : 5343
Retweet : 4337
MentionsInRetweet : 7269
Tweet : 1860
Replies to : 521
Self-Loops : 1972
Reciprocated Vertex Pair Ratio : 0.0303227485684539
Reciprocated Edge Ratio : 0.0588606795503347
Connected Components : 351
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 3766
Maximum Edges in a Connected Component : 18115
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.231964
Graph Density : 0.000370355608747297
Modularity : 0.360299
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 4,624 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, 06 September 2021 at 05:20 UTC.
The requested start date was Monday, 06 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, 10-hour, 13-minute period from Monday, 23 August 2021 at 01:07 UTC to Sunday, 05 September 2021 at 11:21 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:
[415] #ehealth,#health [331] seguimiento,#ehealth [310] #impinv,#vc [250] #digitalhealth,#ehealth [250] #ehealth,#mhealth [236] add'l,biozhena [236] biozhena,file [232] biozhena,files [210] covid,19 [206] public,health Top Word Pairs in Tweet in G1:
[106] matt,anderson [102] cdcemergency,cdc_ehealth [73] ehealth,ontario [69] covid,19 [61] cdcdirector,cdc_ehealth [58] behind,ehealth [58] ontario,scandal [58] scandal,ontario [58] ontario,lost [58] lost,billion Top Word Pairs in Tweet in G2:
[367] #ehealth,#health [329] seguimiento,#ehealth [310] #impinv,#vc [236] add'l,biozhena [236] biozhena,file [232] biozhena,files [164] #digitalhealth,#ehealth [160] files,downloads [155] #ehealth,#obgyn [155] #obgyn,#impinv Top Word Pairs in Tweet in G3:
[145] wef,enricomolinari [133] #cloudcomputing,#edtech [122] #ehealth,#coding [119] #coding,#blockchain [107] 10,types [107] types,#innovation [104] #insurtech,#ai [103] enricomolinari,#ehealth [98] #innovation,#insurtech [98] #ai,#cloudcomputing Top Word Pairs in Tweet in G4:
[198] uk,report [198] report,very [198] very,well [198] well,written [198] written,worth [198] worth,reading [198] reading,good [198] good,example [198] example,effective [198] effective,public Top Word Pairs in Tweet in G5:
[12] covid,19 [7] salud,digital [6] ehealth,zagreb [5] #ehealth,#health [5] nsw,ehealth [5] ehealth,technologies [5] ehealth,inc [5] read,more [5] psycho,oncology [5] developer,ehealth Top Word Pairs in Tweet in G6:
[13] #ehealth,estimulación [13] estimulación,transcutánea [13] transcutánea,mejora [13] mejora,función [13] función,mano [13] mano,personas [13] personas,tetraplejía [13] tetraplejía,completa [11] saludigital_es,#ehealth [10] tiquepcp,tique Top Word Pairs in Tweet in G7:
[70] #ehealth,#escdigital [66] #digitalhealth,#ehealth [49] rafavidalperez,#digitalhealth [47] #esccongress,escardio [31] remote,management [29] heart,failure [28] #escdigital,ecg [28] ecg,challenges [28] challenges,smartwatch [28] smartwatch,recordings Top Word Pairs in Tweet in G8:
[49] ehealth,ontario [40] uoft_dlsph,ontariohealthoh [40] ontariohealthoh,matt [40] matt,anderson [40] anderson,behind [39] behind,ehealth [31] ontario,scandal [27] celliottability,fordnation [27] fordnation,uoft_dlsph [22] mlgg2,dockaurg Top Word Pairs in Tweet in G9:
[34] ehealth,days [14] health,care [12] day,ehealth [10] days,polperezsust [10] polperezsust,presenting [10] presenting,exsisting [10] exsisting,health [10] care,platforms [10] platforms,catalonia [10] catalonia,pretty Top Word Pairs in Tweet in G10:
[57] taking,india [57] india,ehealth [57] ehealth,journey [57] journey,forward [57] forward,esanjeevani [57] esanjeevani,touches [57] touches,milestone [57] milestone,crore [57] crore,tele [57] tele,consultations Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: