The graph represents a network of 4,193 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, 10 May 2021 at 05:20 UTC.
The requested start date was Monday, 10 May 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 10-day, 14-hour, 24-minute period from Wednesday, 28 April 2021 at 20:25 UTC to Sunday, 09 May 2021 at 10:50 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 : 4193
Unique Edges : 4643
Edges With Duplicates : 14744
Total Edges : 19387
Number of Edge Types : 5
Retweet : 4986
MentionsInRetweet : 8875
Tweet : 1470
Mentions : 3723
Replies to : 333
Self-Loops : 1512
Reciprocated Vertex Pair Ratio : 0.0281309169596971
Reciprocated Edge Ratio : 0.054722441462773
Connected Components : 350
Single-Vertex Connected Components : 180
Maximum Vertices in a Connected Component : 3354
Maximum Edges in a Connected Component : 18115
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.046455
Graph Density : 0.000432495635219004
Modularity : 0.328787
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,193 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, 10 May 2021 at 05:20 UTC.
The requested start date was Monday, 10 May 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 10-day, 14-hour, 24-minute period from Wednesday, 28 April 2021 at 20:25 UTC to Sunday, 09 May 2021 at 10:50 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:
[601] mashable,enricomolinari [553] wef,enricomolinari [364] #ehealth,#health [325] #ai,#iot [270] seguimiento,#ehealth [239] gigadgets_,enricomolinari [224] #finserv,#insurtech [208] #bigdata,#ehealth [194] #ai,#marketing [193] #esg,#sdgs Top Word Pairs in Tweet in G1:
[586] mashable,enricomolinari [549] wef,enricomolinari [337] #ehealth,#health [309] #ai,#iot [270] seguimiento,#ehealth [237] gigadgets_,enricomolinari [224] #finserv,#insurtech [190] #ai,#marketing [190] #esg,#sdgs [189] enricomolinari,#agritech Top Word Pairs in Tweet in G2:
[36] cdcemergency,cdc_ehealth [19] cdcgov,cdc_ehealth [19] masks,causes [19] causes,cancer [19] cancer,dr [19] dr,edward [19] edward,joseph [19] joseph,breathing [19] breathing,formaldehyde [18] cdcgov,cdcemergency Top Word Pairs in Tweet in G3:
[25] ehealth,ontario [20] billion,lost [18] lost,ontarians [18] ontarians,without [17] remember,ehealth [17] ontario,billion [16] companies,appear [16] leader,rapidly [16] without,integrated [16] integrated,electric Top Word Pairs in Tweet in G4:
[25] ehealth,inc [14] ãƒ,ム[13] ehth,ehealth [9] covid,19 [8] first,quarter [8] quarter,2021 [8] stock,news [8] news,alerts [8] alerts,app [6] announces,first Top Word Pairs in Tweet in G5:
[13] #ai,#iot [12] #cybersecurity,#ehealth [10] #machinelearning,explained [10] explained,mitsloan [10] mitsloan,#ai [10] #iot,#cloudcomputing [10] #cloudcomputing,#cybersecurity [9] #ehealth,#healthtech [9] globaliqx,#machinelearning [9] big,picture Top Word Pairs in Tweet in G6:
[12] 3a,availability [12] availability,accessibility [12] accessibility,affordability [8] drsarahgarner,3a [7] covid,19 [7] affordability,tradeoffs [7] tradeoffs,innovation [7] innovation,transparency [7] transparency,cross [7] cross,roads Top Word Pairs in Tweet in G7:
[9] #ehealth,stakeholder [9] stakeholder,group [8] know,ehealth [8] ehealth,project [8] project,aims [8] aims,develop [8] develop,basis [8] basis,workable [8] workable,interoperable [8] interoperable,secure Top Word Pairs in Tweet in G8:
[51] infermer,l' [51] l',hospitalclinic [51] hospitalclinic,idea [51] idea,#app [51] #app,permet [51] permet,fer [51] fer,seguiment [51] seguiment,familiars [51] familiars,persones [51] persones,ateses Top Word Pairs in Tweet in G9:
[20] #ehealth,#mhealth [16] gsk_es,lanza [15] #ehealth,gsk_es [14] ecsalud_com,#ehealth [9] concienciar,necesidad [9] necesidad,mantener [9] mantener,sistema [9] sistema,inmunitario [9] inmunitario,fuerte [9] #mhealth,#digitalhealth Top Word Pairs in Tweet in G10:
[38] indian,news [38] news,agency [38] agency,talking [38] talking,clinical [38] clinical,murders [38] murders,innocent [38] innocent,patients [38] patients,pfizer [38] pfizer,corp [38] corp,rockefeller Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G6:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: