The graph represents a network of 2,811 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, 11 April 2022 at 05:29 UTC.
The requested start date was Monday, 11 April 2022 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 8-day, 2-hour, 45-minute period from Saturday, 02 April 2022 at 08:33 UTC to Sunday, 10 April 2022 at 11:19 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 : 2811
Unique Edges : 3184
Edges With Duplicates : 13686
Total Edges : 16870
Number of Edge Types : 5
Mentions : 4539
Tweet : 1100
Retweet : 4916
MentionsInRetweet : 6078
Replies to : 237
Self-Loops : 2003
Reciprocated Vertex Pair Ratio : 0.0490137477585176
Reciprocated Edge Ratio : 0.0934472934472935
Connected Components : 223
Single-Vertex Connected Components : 122
Maximum Vertices in a Connected Component : 2313
Maximum Edges in a Connected Component : 16147
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.525387
Graph Density : 0.000666547662905388
Modularity : 0.26463
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,811 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, 11 April 2022 at 05:29 UTC.
The requested start date was Monday, 11 April 2022 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 8-day, 2-hour, 45-minute period from Saturday, 02 April 2022 at 08:33 UTC to Sunday, 10 April 2022 at 11:19 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:
[2554] #women,#ehealth [2508] #cx,#women [2439] #ehealth,#ces2023 [2381] #healthtech,#datascientist [1762] #digitalhealth,#cloud [1711] #cloud,#cx [1519] chidambara09,#healthtech [1222] #ces2023,#finserv [1204] #des2022,#digitalhealth [1146] #ai,#digitalhealth Top Word Pairs in Tweet in G1:
[2234] #women,#ehealth [2194] #cx,#women [2160] #ehealth,#ces2023 [2111] #healthtech,#datascientist [1530] #digitalhealth,#cloud [1494] #cloud,#cx [1269] chidambara09,#healthtech [1103] #ces2023,#finserv [1066] #des2022,#digitalhealth [1022] #ai,#digitalhealth Top Word Pairs in Tweet in G2:
[138] #women,#ehealth [135] #cx,#women [131] #ehealth,#ces2023 [126] #healthtech,#datascientist [116] chidambara09,#healthtech [105] #digitalhealth,#cloud [103] #cloud,#cx [70] #ces2023,#finservâ [70] #des2022,#digitalhealth [62] ghirardieugenio,seguimiento Top Word Pairs in Tweet in G3:
[50] cdc_ehealth,whcovidresponse [50] healthcomm100,no1toolmkr [49] covid19tracking,cdc_ehealth [41] no1toolmkr,samadamstpp [36] samadamstpp,covid19tracking [17] cdc_ehealth,cdcglobal [14] potus,vp [12] no1toolmkr,covid19tracking [12] hhsgov,hhs_health [11] cdcgov,cdc_ehealth Top Word Pairs in Tweet in G4:
[181] #women,#ehealth [178] #cx,#women [162] seguimiento,#ehealth [147] #ehealth,#ces2023 [144] #healthtech,#datascientist [134] chidambara09,#healthtech [133] #ehealth,#health [126] #digitalhealth,#cloud [113] #cloud,#cx [111] #ehealth,#digital Top Word Pairs in Tweet in G5:
[10] #cameroon,#ehealth [10] #ehealth,#waspito [10] #waspito,raised [10] raised,7m [10] 7m,#seedfunding [10] #seedfunding,#africa [10] #africa,#venturecapital [10] #venturecapital,#investment [10] #investment,#ecosystem [9] latest,franzrusso Top Word Pairs in Tweet in G6:
[15] call,tenders [14] tique's,#openmarketconsultation [10] sofiamorpe,valdeinnova [10] valdeinnova,presents [10] presents,main [10] main,findings [10] gathered,during [10] during,tique's [10] #openmarketconsultation,hospitalsantpau [10] aquascat,ticsalut Top Word Pairs in Tweet in G7:
[6] ehealthnews,healthglobal [6] published,conspiracy [6] conspiracy,greedy [6] greedy,tyrant [6] tyrant,#shaitaans [4] ehealth,ehealth_eu [4] ehealth_eu,ehealthnews [4] predicted,failure [4] failure,#c19 [4] #c19,#vaccines Top Word Pairs in Tweet in G8:
[51] aimedisglobal,ehealth [50] ehealth,platform [49] ðÿœ,aimedisglobal [49] platform,based [49] based,blockchain [49] blockchain,technology [49] technology,ðÿœ [49] ðÿœ,#aimedis [49] #aimedis,avalon [49] avalon,metaverse Top Word Pairs in Tweet in G9:
[9] remember,ehealth [9] ehealth,ontario [9] ontario,8b [9] 8b,tax [9] money,vanished [9] vanished,under [9] under,liberals [9] liberals,conservatives [9] conservatives,ontarians [9] ontarians,still Top Word Pairs in Tweet in G10:
[37] ehealth,journey [37] journey,forward [37] forward,esanjeevani [37] esanjeevani,app [37] app,making [37] making,breaking [37] breaking,records [37] records,#worldhealthday [28] mygovindia,taking [22] taking,india 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: