The graph represents a network of 3,778 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, 01 June 2020 at 06:32 UTC.
The requested start date was Monday, 01 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 9-hour, 35-minute period from Monday, 25 May 2020 at 02:02 UTC to Sunday, 31 May 2020 at 11:37 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 : 3778
Unique Edges : 5073
Edges With Duplicates : 9663
Total Edges : 14736
Number of Edge Types : 5
Replies to : 303
Mentions : 4344
MentionsInRetweet : 5781
Retweet : 3259
Tweet : 1049
Self-Loops : 1117
Reciprocated Vertex Pair Ratio : 0.0337153518123667
Reciprocated Edge Ratio : 0.0652314038932577
Connected Components : 277
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 3128
Maximum Edges in a Connected Component : 13792
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.249796
Graph Density : 0.000543606765363846
Modularity : 0.445464
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,778 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, 01 June 2020 at 06:32 UTC.
The requested start date was Monday, 01 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 6-day, 9-hour, 35-minute period from Monday, 25 May 2020 at 02:02 UTC to Sunday, 31 May 2020 at 11:37 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 G2:
[285] cdcemergency,cdc_ehealth [201] cdcgov,cdc_ehealth [189] cdcgov,cdcemergency [189] cdc_ehealth,cdcflu [182] covid,19 [145] realdonaldtrump,vp [141] cdc_ehealth,cdcgov [128] cdcdirector,cdcglobal [114] cdcflu,cdcdirector [107] fda,cdcemergency Top Word Pairs in Tweet in G3:
[56] saludigital_es,#ehealth [42] guía,básica [33] básica,recomendaciones [23] curso,gratuito [16] gratuito,seguro [16] seguro,habrás [15] habrás,oído [13] oído,hablar [10] hablar,#rwe [10] #rwe,#bigdata Top Word Pairs in Tweet in G4:
[43] ehealth,pediatric [20] pediatric,summit [19] summit,clinical [18] clinical,innovation [18] innovation,evidence [18] evidence,based [18] based,practice [18] practice,pediatric [18] pediatric,therapists [18] therapists,telehealth Top Word Pairs in Tweet in G5:
[30] room,future [30] jblefevre60,sebbourguignon [27] #hospital,room [27] future,#ehealth [27] #ehealth,#tech [27] #tech,#ai [27] #ai,healthcareldr [27] healthcareldr,jblefevre60 [27] labordeolivier,#hospital [27] sebbourguignon,tewo Top Word Pairs in Tweet in G6:
[69] ptfcovid19,cacovidng [68] knsmoh,kanostateng [67] ehealth_africa,fmohnigeria [67] dawisu,fmohnigeria [67] official_mbsh,ncdcgov [67] ncdcgov,ehealth_africa [67] fmohnigeria,nacanigeria [66] nacanigeria,ptfcovid19 [65] cacovidng,alikodangotefdn [65] alikodangotefdn,buagroup Top Word Pairs in Tweet in G7:
[55] nutzerzahlen,gesundheits [47] medizinische,anwendungen [44] seit,mittwoch [44] mittwoch,hersteller [42] hersteller,digitalen [42] digitalen,gesundheitsanwendungen [42] gesundheitsanwendungen,antrag [42] antrag,aufnahme [42] aufnahme,#diga [42] #diga,verzeichnis Top Word Pairs in Tweet in G8:
[10] ehealth,pediatric [9] pediatric,summit [9] evidence,based [9] excited,speaking [9] speaking,ehealth [9] summit,clinical [9] clinical,innovation [9] innovation,evidence [9] based,practice [9] practice,paediatric Top Word Pairs in Tweet in G9:
[33] eureka,healthy [33] healthy,ageing [25] ageing,epic_ehealth [21] epic_ehealth,cornish [21] cornish,smes [21] smes,apply [21] apply,share [21] share,2m [21] 2m,develop [19] develop,digital Top Word Pairs in Tweet in G10:
[7] join,ehealth [7] #yopacientedigital,project [7] project,project [7] project,aims [7] aims,improve [7] nhsggcehealth,looking [7] looking,programme [7] programme,manager [7] manager,join [7] ehealth,ehcr Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: