The graph represents a network of 4,709 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, 04 October 2021 at 05:21 UTC.
The requested start date was Monday, 04 October 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 12-day, 20-hour, 0-minute period from Monday, 20 September 2021 at 15:18 UTC to Sunday, 03 October 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 : 4709
Unique Edges : 5171
Edges With Duplicates : 13874
Total Edges : 19045
Number of Edge Types : 5
MentionsInRetweet : 7164
Mentions : 5055
Retweet : 4326
Tweet : 1932
Replies to : 568
Self-Loops : 1997
Reciprocated Vertex Pair Ratio : 0.0466399197592778
Reciprocated Edge Ratio : 0.0891231432678486
Connected Components : 395
Single-Vertex Connected Components : 215
Maximum Vertices in a Connected Component : 3795
Maximum Edges in a Connected Component : 17677
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.243507
Graph Density : 0.000376545356033828
Modularity : 0.384617
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,709 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, 04 October 2021 at 05:21 UTC.
The requested start date was Monday, 04 October 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 12-day, 20-hour, 0-minute period from Monday, 20 September 2021 at 15:18 UTC to Sunday, 03 October 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:
[366] #ehealth,#health [303] seguimiento,#ehealth [294] #impinv,#vc [234] #health,#healthcareit [232] add'l,biozhena [232] biozhena,file [231] #healthcareit,#ehealth [230] #digitalhealth,#ehealth [224] biozhena,files [222] digital,health Top Word Pairs in Tweet in G1:
[330] #ehealth,#health [303] seguimiento,#ehealth [294] #impinv,#vc [232] add'l,biozhena [232] biozhena,file [224] biozhena,files [147] #ehealth,#impinv [147] #vc,#obgyn [147] #obgyn,#obgyntwitter [147] #obgyntwitter,#tryingtoconceive Top Word Pairs in Tweet in G2:
[93] siyag,siddhyog [77] gurudev,ramlalji [77] ramlalji,siyag [70] siddhyog,helps [69] helps,slow [69] slow,down [69] down,brain [69] brain,waves [69] waves,state [69] state,calm Top Word Pairs in Tweet in G3:
[110] enricomolinari,#ehealth [88] #ai,#ehealth [86] #bigdata,#cloud [86] #cloud,guide [86] guide,#healthcare [86] #healthcare,#providers [86] #providers,co [86] co,c0mpg7irlf [86] c0mpg7irlf,#ehealth [86] #ehealth,#datascience Top Word Pairs in Tweet in G4:
[73] qr,codes [43] yikes,issue [43] issue,qr [43] codes,confirming [43] confirming,people's [43] people's,#saskatchewan [43] #saskatchewan,#covid19 [43] #covid19,vaccinations [43] vaccinations,identified [43] identified,codes Top Word Pairs in Tweet in G5:
[16] qr,codes [12] ehealth,saskatchewan [11] covid,19 [11] ehealth,announces [10] qr,code [9] announces,leadership [9] leadership,transition [9] ehealth,magazine [8] ehealth,literacy [7] ehealth,inc Top Word Pairs in Tweet in G6:
[148] matt,anderson [109] ehealth,ontario [85] uoft_dlsph,ontariohealthoh [85] behind,ehealth [84] anderson,behind [84] ontario,scandal [75] ontariohealthoh,matt [74] fordnation,uoft_dlsph [73] scandal,ontario [73] ontario,lost Top Word Pairs in Tweet in G7:
[54] europe,summit [33] health,europe [29] digital,health [27] 2021,digital [16] nominated,2021 [16] 2021,innovation [16] innovation,prize [16] prize,eu_commission [16] eu_commission,please [16] please,help Top Word Pairs in Tweet in G8:
[78] #digitalhealth,#ehealth [46] digital,health [29] #ehealth,#telehealth [22] sponsors,fujifilm_hce [21] wearablesexpert,talks [21] learn,live [21] live,healthy [19] salesforceind,spiritdigitaluk [19] #llbhealthy,learn [18] #digitalhealth,#wearables Top Word Pairs in Tweet in G9:
[33] plymuni,plymunipgr [33] epic_ehealth,goaldstirplym [32] sergethill,epic_ehealth [30] rjonesplymouth,sergethill [30] goaldstirplym,plymunicht [29] plymunipgr,rjonesplymouth [27] very,soon [25] vacancies,research [25] research,fellows [25] fellows,working Top Word Pairs in Tweet in G10:
[6] ehealth_africa,ehaclinics [5] eha,academy [5] ehealth,africa [5] take,scale [5] scale,#digitalhealth [5] #digitalhealth,#nonprofit [5] #nonprofit,order [5] order,magnitude [5] magnitude,single [5] single,year Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: