The graph represents a network of 3,146 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, 16 May 2022 at 05:30 UTC.
The requested start date was Monday, 16 May 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 10-day, 13-hour, 59-minute period from Wednesday, 04 May 2022 at 21:17 UTC to Sunday, 15 May 2022 at 11:16 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 : 3146
Unique Edges : 3799
Edges With Duplicates : 14349
Total Edges : 18148
Number of Edge Types : 5
Retweet : 5082
MentionsInRetweet : 7587
Replies to : 234
Mentions : 4129
Tweet : 1116
Self-Loops : 1569
Reciprocated Vertex Pair Ratio : 0.0445687171665819
Reciprocated Edge Ratio : 0.0853341985723556
Connected Components : 223
Single-Vertex Connected Components : 109
Maximum Vertices in a Connected Component : 2553
Maximum Edges in a Connected Component : 17232
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.503414
Graph Density : 0.00062299313636212
Modularity : 0.279843
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,146 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, 16 May 2022 at 05:30 UTC.
The requested start date was Monday, 16 May 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 10-day, 13-hour, 59-minute period from Wednesday, 04 May 2022 at 21:17 UTC to Sunday, 15 May 2022 at 11:16 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:
[1208] #cx,#women [1188] #healthtech,#datascientist [1158] #women,#ehealth [1112] #ehealth,#ces2023 [844] #digitalhealth,#startups [834] #startups,#cx [802] chidambara09,#healthtech [790] #ai,#digitalhealth [681] #datascientist,#iot [667] #iot,#ai Top Word Pairs in Tweet in G1:
[1137] #cx,#women [1120] #healthtech,#datascientist [1092] #women,#ehealth [1052] #ehealth,#ces2023 [788] #digitalhealth,#startups [780] #startups,#cx [744] chidambara09,#healthtech [736] #ai,#digitalhealth [638] #datascientist,#iot [626] #iot,#ai Top Word Pairs in Tweet in G2:
[37] cdc_ehealth,cdcglobal [28] nurses_union,ugandamedical [28] ugandamedical,cdc_ehealth [27] theumaofficial,nurses_union [27] cdcgov,cdc_ehealth [20] ehealthnews,healthglobal [18] cdc_ehealth,ehealth [18] ehealth,ehealth_eu [17] healthglobal,awakenindiamvmt [14] pahowho,cdcgov Top Word Pairs in Tweet in G3:
[67] #cx,#women [64] #healthtech,#datascientist [62] #women,#ehealth [56] #ehealth,#ces2023 [54] chidambara09,#healthtech [53] #digitalhealth,#startups [51] #ai,#digitalhealth [51] #startups,#cx [40] #digitalhealth,#ehealth [40] #datascientist,#iot Top Word Pairs in Tweet in G4:
[53] #healthcareit,#ehealth [52] #ehealth,#healthcare [51] #healthcare,#digitalhealth [49] #health,#healthcareit [28] systematic,review [25] #ehealth,#homehealthcare [22] #fashion,enilev [21] #traveltech,#traveller [21] #metaverse,#fashion [20] #homehealthcare,#nursinghomes Top Word Pairs in Tweet in G5:
[118] ehealth,inc [118] present,2022 [118] 2022,rbc [118] rbc,global [118] global,healthcare [118] healthcare,conference [117] ehth,ehealth [117] inc,present [117] conference,#mwn [116] #mwn,#stocks Top Word Pairs in Tweet in G6:
[7] european,health [6] health,data [6] data,space [6] ehealth,inc [5] ehealth,voucher [5] voucher,2022 [4] visit,website [4] ehealth,nsw [4] ehealth,systems [4] systems,africa Top Word Pairs in Tweet in G7:
[12] inviting,applications [11] revolución,#5g [11] #5g,sanidad [11] #hiring,currently [11] currently,inviting [11] applications,senior [11] senior,roles [11] within,ehealth [11] ehealth,check [9] check,vacancies Top Word Pairs in Tweet in G8:
[18] iacs_aragon,iexp_paciente [16] iexp_paciente,ificinfo [16] ificinfo,ehealth_eu [15] ehealth_eu,ipnunes [14] #digitalhealth,event [12] rosia's,challenge [12] challenge,iacs_aragon [12] ipnunes,#vbhc [11] call,tender [10] rosia's,call Top Word Pairs in Tweet in G9:
[7] ehealth,project [6] chronic,disease [6] disease,management [5] project,carry [5] carry,second [5] second,professional [5] professional,training [5] training,session [5] session,aimed [5] aimed,health Top Word Pairs in Tweet in G10:
[26] selected,ceo [24] ehealth,ontario [14] 8b,tax [14] tax,payer [14] payer,money [14] money,vanished [14] vanished,under [14] under,liberals [14] liberals,conservatives [14] conservatives,ontarians Top Replied-To in Entire Graph:
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Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: