The graph represents a network of 2,590 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, 29 November 2021 at 06:36 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 4-day, 20-hour, 52-minute period from Tuesday, 23 November 2021 at 14:25 UTC to Sunday, 28 November 2021 at 11:18 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 : 2590
Unique Edges : 3042
Edges With Duplicates : 16056
Total Edges : 19098
Number of Edge Types : 5
Retweet : 5418
MentionsInRetweet : 8722
Mentions : 3599
Tweet : 1164
Replies to : 195
Self-Loops : 1662
Reciprocated Vertex Pair Ratio : 0.039109390125847
Reciprocated Edge Ratio : 0.0752748276504565
Connected Components : 200
Single-Vertex Connected Components : 93
Maximum Vertices in a Connected Component : 2067
Maximum Edges in a Connected Component : 18307
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.054124
Graph Density : 0.000800386547779364
Modularity : 0.240032
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,590 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, 29 November 2021 at 06:36 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 4-day, 20-hour, 52-minute period from Tuesday, 23 November 2021 at 14:25 UTC to Sunday, 28 November 2021 at 11:18 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:
[2846] #fashiontech,#ehealth [2585] #frenchtech,#women [2567] #women,#datascientist [2517] #datascientist,#fashiontech [2194] #ehealth,#datascience [1447] #cx,#iot [1447] #iot,#frenchtech [1418] #digital,#cx [1277] chidambara09,#digital [1002] #datascience,#finser Top Word Pairs in Tweet in G1:
[2416] #fashiontech,#ehealth [2177] #frenchtech,#women [2158] #women,#datascientist [2117] #datascientist,#fashiontech [1858] #ehealth,#datascience [1245] #cx,#iot [1245] #iot,#frenchtech [1215] #digital,#cx [1057] chidambara09,#digital [842] #datascience,#finser Top Word Pairs in Tweet in G2:
[404] #digital,#frenchtech [401] #fashiontech,#ehealth [383] #women,#datascientist [383] #digital,#ehealth [382] #frenchtech,#women [375] #datascientist,#fashiontech [342] #ehealth,#digital [315] #ehealth,#datascience [296] #frenchtech,#digital [206] chidambara09,#digital Top Word Pairs in Tweet in G3:
[6] covid,19 [6] cdcemergency,cdc_ehealth [6] cdcgov,cdcdirector [5] cdcgov,cdc_ehealth [4] cdcgov,cdcemergency [4] cdc_ehealth,cdcgov [3] responsible,blamed [3] blamed,amr [3] cdcdirector,cdc_ehealth [3] cdc_ehealth,cdcglobal Top Word Pairs in Tweet in G4:
[63] matt,anderson [51] ehealth,ontario [40] behind,ehealth [40] ontario,scandal [38] uoft_dlsph,ontariohealthoh [38] ontariohealthoh,matt [38] anderson,behind [34] celliottability,fordnation [33] fordnation,uoft_dlsph [26] scandal,ontario Top Word Pairs in Tweet in G5:
[86] área,#ehealth [42] #ehealth,#42semi [28] hacer,investigación [23] investigación,clínica [22] cómo,podemos [22] podemos,aprovechar [22] aprovechar,internistas [22] internistas,nuevas [22] nuevas,tecnologías [22] tecnologías,análisis Top Word Pairs in Tweet in G6:
[8] covid,19 [7] ehealth,dispara [7] dispara,innovación [7] innovación,sector [7] sector,financiero [7] financiero,seguros [7] seguros,tras [7] tras,covid [4] auto,insurance [4] insurance,shopping Top Word Pairs in Tweet in G7:
[19] digital,principles [19] principles,#digitaldecade [19] #digitaldecade,#digitalskills [19] #digitalskills,#internet [19] #internet,access [19] access,#digital [19] #digital,public [19] public,services [18] digitaleu,digital [18] services,#eheal Top Word Pairs in Tweet in G8:
[53] know,eazy2q [53] eazy2q,queue [53] queue,affordable [53] affordable,cost [53] cost,queue [53] queue,pay [53] pay,don [53] don,queue [52] wandiechuma,know [4] choose,wisely Top Word Pairs in Tweet in G9:
[8] jornada,#ehealthprojectuoc [8] primera,jornada [8] jornada,#riberainnova [8] #riberainnova,celebrada [8] celebrada,lanzaderaes [8] lanzaderaes,refleja [8] refleja,buenos [8] buenos,resultados [8] resultados,proyectos [8] proyectos,piloto Top Word Pairs in Tweet in G10:
[10] snomed,webinar [10] webinar,back [10] back,basics [10] basics,engage [10] engage,snomed [10] snomed,education [10] education,training [10] training,ehealth [7] #watch,latest [7] latest,snomed 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: