The graph represents a network of 5,270 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, 12 October 2020 at 05:03 UTC.
The requested start date was Monday, 12 October 2020 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, 13-hour, 3-minute period from Monday, 28 September 2020 at 01:26 UTC to Sunday, 11 October 2020 at 14:30 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 : 5270
Unique Edges : 6832
Edges With Duplicates : 13198
Total Edges : 20030
Number of Edge Types : 5
Retweet : 4386
MentionsInRetweet : 7859
Mentions : 5400
Tweet : 1936
Replies to : 449
Self-Loops : 2012
Reciprocated Vertex Pair Ratio : 0.0454686369742689
Reciprocated Edge Ratio : 0.0869823070080063
Connected Components : 382
Single-Vertex Connected Components : 206
Maximum Vertices in a Connected Component : 4363
Maximum Edges in a Connected Component : 18647
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.06732
Graph Density : 0.000364345102552865
Modularity : 0.440149
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,270 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, 12 October 2020 at 05:03 UTC.
The requested start date was Monday, 12 October 2020 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, 13-hour, 3-minute period from Monday, 28 September 2020 at 01:26 UTC to Sunday, 11 October 2020 at 14:30 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:
[522] #ehealth,#health [327] seguimiento,#ehealth [287] covid,19 [196] digital,health [141] #digitalhealth,#ehealth [139] ghirardieugenio,seguimiento [137] #ehealth,#salud [130] helloiota,roundup [116] #ehealth,#marketing [111] #health,#ui Top Word Pairs in Tweet in G1:
[426] #ehealth,#health [324] seguimiento,#ehealth [160] covid,19 [136] ghirardieugenio,seguimiento [135] #ehealth,#salud [100] farmacia,mulilla [93] salud,farmacia [91] podcasts,salud [89] #health,#ui [87] #doctors,#hospital Top Word Pairs in Tweet in G2:
[112] #ehealth,#marketing [104] cheddar,enricomolinari [82] wef,enricomolinari [77] #ehealth,#health [71] enricomolinari,cc [69] #ai,#iot [61] #marketing,#ai [55] gigadgets_,enricomolinari [51] enricomolinari,#ehealth [49] face,mask Top Word Pairs in Tweet in G3:
[73] cdcgov,cdc_ehealth [68] cdcemergency,cdc_ehealth [53] cdcgov,cdcemergency [30] covid,19 [26] liberatedin44,cdcgov [25] cdc_ehealth,cdcgov [18] cdc_ehealth,people [18] people,stay [18] stay,home [18] home,starve Top Word Pairs in Tweet in G4:
[28] ehealth,inc [17] covid,19 [14] customer,center [12] #ehealth,#health [11] ehth,ehealth [10] inc,host [10] host,investor [10] investor,demo [10] demo,customer [10] center,technology Top Word Pairs in Tweet in G5:
[25] #bluau,sanitas [19] seguimiento,#digital [19] #digital,patologías [19] patologías,novedades [19] novedades,destacadas [19] destacadas,#bluau [18] cmorcilloserra,seguimiento [18] sanitas,#telemonitori [12] 29th,october [12] investment,forum Top Word Pairs in Tweet in G6:
[12] #app,rezept [10] rezept,endlich [10] endlich,realität [10] realität,neue [10] neue,chancen [10] chancen,bessere [10] bessere,patientenzentrierte [10] patientenzentrierte,medizin [10] medizin,machen [10] machen,digitale Top Word Pairs in Tweet in G7:
[37] ehealth,ontario [27] lost,billion [26] ontario,lost [23] people,behind [22] healthcare,managers [22] nurse,allowed [20] two,full [20] full,time [19] time,jobs [17] closer,look Top Word Pairs in Tweet in G8:
[110] helloiota,roundup [40] roundup,tomorrow [40] tomorrow,sorry [40] sorry,schaffe [40] schaffe,heute [40] heute,mehr [39] chrismuellerhi,helloiota [37] #iota,#iotastrong [37] #iotastrong,#iot [37] #iot,#iiot Top Word Pairs in Tweet in G9:
[57] jsantamariaglez,blancausoz [57] blancausoz,opsoms [57] opsoms,gonzalo_lopez [57] gonzalo_lopez,manbayona [56] manbayona,marisamerinoh [49] marisamerinoh,richardcanabate [39] richardcanabate,feliperebollog [34] feliperebollog,aitortxug [26] asaluddigital,covidwarriors [26] covidwarriors,fundacionsigno Top Word Pairs in Tweet in G10:
[20] #some4pedsurg,#globalsurgery [18] #some4,#some4pedsurg [16] drjonnys,ericorodriguez [16] ericorodriguez,celestinogutirr [16] celestinogutirr,bisturitx [16] bisturitx,rncsantander [16] rncsantander,mdantonieta [16] mdantonieta,tatianab84 [16] tatianab84,dear [16] dear,dr Top Replied-To in Entire Graph:
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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 G5:
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Top Tweeters in G10: