The graph represents a network of 3,500 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 Tuesday, 18 February 2020 at 01:11 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 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 5-day, 17-hour, 39-minute period from Saturday, 08 February 2020 at 18:58 UTC to Friday, 14 February 2020 at 12:38 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 : 3500
Unique Edges : 5976
Edges With Duplicates : 3098
Total Edges : 9074
Number of Edge Types : 4
Tweet : 1079
MentionsInRetweet : 5091
Mentions : 2651
Replies to : 253
Self-Loops : 1079
Reciprocated Vertex Pair Ratio : 0.0393829996718083
Reciprocated Edge Ratio : 0.0757814966845595
Connected Components : 283
Single-Vertex Connected Components : 158
Maximum Vertices in a Connected Component : 2851
Maximum Edges in a Connected Component : 8312
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.076908
Graph Density : 0.000517208998489364
Modularity : 0.597895
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,500 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 Tuesday, 18 February 2020 at 01:11 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 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 5-day, 17-hour, 39-minute period from Saturday, 08 February 2020 at 18:58 UTC to Friday, 14 February 2020 at 12:38 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:
[202] congreso,virtual [163] virtual,#movimientodiabetes [145] #healthtech,#ehealth [143] #ehealth,#healthcare [128] digital,health [127] #digitalhealth,#ehealth [126] #health,#healthcareit [124] #healthcareit,#ehealth [123] #doctors,#hospital [119] #hospital,#health Top Word Pairs in Tweet in G1:
[106] #healthtech,#ehealth [104] enricomolinari,#ehealth [102] enricomolinari,#robotic [84] #ehealth,#medtech [73] ty,realtechmatters [73] #industry40,#ai [72] realtechmatters,enricomolinari [72] #ai,#tech [65] #tech,#healthtech [64] #robotic,thread Top Word Pairs in Tweet in G2:
[114] seguimiento,#ehealth [100] digital,health [84] #digitalhealth,#ehealth [80] #ehealth,#health [72] health,world [72] world,congress [72] book,london [72] london,#bigdata [71] congress,2020 [71] 2020,book Top Word Pairs in Tweet in G3:
[194] congreso,virtual [157] virtual,#movimientodiabetes [53] saludigital_es,#ehealth [53] todas,novedades [49] nuestro,sistema [49] sistema,nacional [49] nacional,salud [49] salud,#sns [49] #sns,profesionales [49] profesionales,tecnología Top Word Pairs in Tweet in G4:
[32] cdcgov,cdcemergency [28] cdcgov,cdc_ehealth [25] cdcemergency,cdc_ehealth [21] cdcdirector,surgeon_general [20] surgeon_general,us_fda [20] us_fda,cdc_ehealth [19] status,investigation [19] investigation,evidence [19] evidence,resulting [19] resulting,deaths Top Word Pairs in Tweet in G5:
[35] sno,forecast [35] forecast,nächstes [35] nächstes,jahr [35] jahr,januar [35] januar,2021 [35] 2021,bekommt [35] bekommt,deutschland [35] deutschland,die [35] die,#snomed [35] #snomed,ct Top Word Pairs in Tweet in G6:
[54] stakeholder,group [28] ehealth,stakeholder [26] #ehealth,stakeholder [21] proud,announce [17] member,eu_commission [16] group,eu_commission [15] #ehealth,#health [14] 2020,2022 [14] group,support [14] announce,escardio Top Word Pairs in Tweet in G7:
[34] ehealth,africa [20] data,analytics [16] associate,data [14] analytics,ehealth [10] product,manager [10] manager,data [10] data,management [10] management,solutions [9] ehealth,inc [7] inc,ehth Top Word Pairs in Tweet in G8:
[29] ehealth,sydney [16] drmelkeep,#sydehealth2020 [13] #sydehealth2020,eposter [13] eposter,booths [13] booths,arrived [13] arrived,see [13] see,favourite [13] favourite,posters [13] posters,share [13] share,great Top Word Pairs in Tweet in G9:
[86] punc14,150leaders [86] plymuni,mymhealthltd [85] epic_ehealth,punc14 [85] sharonevans35,plymuni [84] 150leaders,sharonevans35 [40] nursingpunc18,epic_ehealth [22] mymhealthltd,thanks [9] well,done [9] mymhealthltd,congratulations [8] being,shortlisted Top Word Pairs in Tweet in G10:
[15] vgz,jaapdebruijn [11] advies,aan [11] aan,minvws [11] minvws,zorgautoriteit [11] zorgautoriteit,vgz [11] jaapdebruijn,lhvhuisartsen [11] lhvhuisartsen,vphuisartsen [11] vphuisartsen,kunt [11] kunt,altijd [11] altijd,nog 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 G4:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: