The graph represents a network of 4,061 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, 21 June 2021 at 05:18 UTC.
The requested start date was Monday, 21 June 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 9-day, 0-hour, 30-minute period from Friday, 11 June 2021 at 10:46 UTC to Sunday, 20 June 2021 at 11:17 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 : 4061
Unique Edges : 4732
Edges With Duplicates : 19543
Total Edges : 24275
Number of Edge Types : 5
Retweet : 5070
MentionsInRetweet : 11250
Mentions : 6207
Replies to : 446
Tweet : 1302
Self-Loops : 1348
Reciprocated Vertex Pair Ratio : 0.0341563259562492
Reciprocated Edge Ratio : 0.066056407718951
Connected Components : 310
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 3239
Maximum Edges in a Connected Component : 23154
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.302267
Graph Density : 0.000490306083458781
Modularity : 0.292737
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,061 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, 21 June 2021 at 05:18 UTC.
The requested start date was Monday, 21 June 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 9-day, 0-hour, 30-minute period from Friday, 11 June 2021 at 10:46 UTC to Sunday, 20 June 2021 at 11:17 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:
[562] mashable,enricomolinari [560] cdcgov,cdctravel [547] cdctravel,cdcdirector [529] cdcdirector,cdc_ehealth [487] margaretsiegien,pawlowskimario [477] #loveisnottourism,cdcgov [468] cdc_ehealth,whcovidresponse [318] wef,enricomolinari [303] whcovidresponse,aslavitt46 [300] #futureofwork,#healthtech Top Word Pairs in Tweet in G1:
[527] mashable,enricomolinari [484] margaretsiegien,pawlowskimario [299] wef,enricomolinari [298] #futureofwork,#healthtech [230] pawlowskimario,#futureofwork [229] margaretsiegien,#ai [176] enricomolinari,#ehealth [151] #healthtech,#healthit [149] #finserv,#insurtech [129] #fintech,#finserv Top Word Pairs in Tweet in G2:
[556] cdcgov,cdctravel [543] cdctravel,cdcdirector [523] cdcdirector,cdc_ehealth [475] #loveisnottourism,cdcgov [464] cdc_ehealth,whcovidresponse [302] whcovidresponse,aslavitt46 [255] aslavitt46,aslavitt [161] potus,vp [148] surgeon_general,presssec [148] presssec,potus Top Word Pairs in Tweet in G3:
[285] biozhena,files [246] files,downloads [245] #ehealth,#health [219] seguimiento,#ehealth [199] #impinv,#vc [151] add'l,biozhena [106] #ehealth,#obgyn [106] #obgyn,#impinv [106] #vc,#obgyntwitter [106] #obgyntwitter,#emergingtech Top Word Pairs in Tweet in G4:
[26] lucyperls,#patientendateningefahr [21] gemeinsamer,nenner [21] nenner,#spahn [21] #spahn,burda [21] burda,bertelsmann [21] bertelsmann,arvato [21] arvato,gematik [21] gematik,#ehealth [21] #ehealth,ehemann [21] ehemann,villa Top Word Pairs in Tweet in G5:
[47] #eac,#ehealth [41] #ehealth,#telemedicine [37] 3rd,#eac [28] android,app [28] app,store [26] aimedis,making [26] making,ehealth [26] ehealth,secure [26] secure,affordable [26] affordable,accessible Top Word Pairs in Tweet in G6:
[5] digital,health [4] application,ehealth [4] ehealth,literacy [4] literacy,model [4] model,digital [4] health,interventions [4] interventions,scoping [4] scoping,review [4] learn,more [4] nui,galway Top Word Pairs in Tweet in G7:
[16] bien,caché [16] playstore,mais [15] c'est,bien [15] caché,playstore [15] mais,covidsafebe [15] covidsafebe,bien [15] bien,disponible [15] disponible,aussi [15] aussi,android [15] android,c'est Top Word Pairs in Tweet in G8:
[13] part,epic_ehealth [10] epic_ehealth,project [10] #g7,taking [10] taking,place [10] place,cornwall [10] cornwall,epic [10] epic,showcasing [10] showcasing,#cornwallhouse [10] #cornwallhouse,including [10] including,businesses Top Word Pairs in Tweet in G9:
[57] taking,india [57] india,ehealth [57] ehealth,journey [57] journey,forward [57] forward,esanjeevani [53] mygovindia,taking [53] esanjeevani,touches [53] touches,milestone [53] milestone,60 [53] 60,lakh Top Word Pairs in Tweet in G10:
[13] die,partner [13] dgtelemed,ztg_nrw [13] ztg_nrw,24 [13] 24,06 [13] 06,2021 [13] 2021,stellen [11] partner,#nrwkongressteledizin [11] #nrwkongressteledizin,dgtelemed [9] people,irregular [9] irregular,heartbeats Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
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 G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: