The graph represents a network of 2,349 Twitter users whose recent tweets contained "ehealth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 1833-day, 11-hour, 1-minute period from Monday, 29 January 2018 at 13:51 UTC to Monday, 06 February 2023 at 00:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2349
Unique Edges : 2547
Edges With Duplicates : 11400
Total Edges : 13947
Number of Edge Types : 9
Retweet : 2968
MentionsInRetweet : 4449
Tweet : 721
Replies to : 399
Mentions : 3548
MentionsInReplyTo : 1352
MentionsInQuote : 366
Quote : 130
MentionsInQuoteReply : 14
Self-Loops : 2844
Reciprocated Vertex Pair Ratio : 0.0451871657754011
Reciprocated Edge Ratio : 0.0864671271424917
Connected Components : 161
Single-Vertex Connected Components : 95
Maximum Vertices in a Connected Component : 1684
Maximum Edges in a Connected Component : 12145
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.210235
Graph Density : 0.000708736110839148
Modularity : 0.25313
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,349 Twitter users whose recent tweets contained "ehealth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/5/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 06 February 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 1833-day, 11-hour, 1-minute period from Monday, 29 January 2018 at 13:51 UTC to Monday, 06 February 2023 at 00:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[2055] #healthtech,#smartcity [2049] #digitalhealth,#web3 [2043] #web3,#cx [2043] #csuite,#digitalhealth [2040] #datascientist,#csuite [2034] #cx,#ehealth [2023] #vive2023,#healthtech [2021] #smartcity,#5g [2017] #5g,#datascientist [1416] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[2053] #healthtech,#smartcity [2048] #digitalhealth,#web3 [2041] #web3,#cx [2041] #csuite,#digitalhealth [2038] #datascientist,#csuite [2033] #cx,#ehealth [2022] #vive2023,#healthtech [2020] #smartcity,#5g [2016] #5g,#datascientist [1415] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[38] cdcgov,cdcdirector [31] cdcemergency,cdc_ehealth [24] cdcdirector,cdcemergency [21] cdc_ehealth,cdcglobal [16] cdcglobal,cdcfound [16] cdcdirector,cdc_ehealth [11] cdcfound,link [11] mayorofmadison,madisonpolice [11] link,c19 [11] c19,vaccine Top Word Pairs in Tweet in G3:
[26] tag,friends [15] giving,away [15] enter,follow [12] retweet,tag [11] ehealth_care,感谢分享 [11] ehealth_care,marzellitrading [10] 24,hours [7] copperbankiing,ehealth_care [7] ehealth_care,hansen64phyllis [7] 48,hours Top Word Pairs in Tweet in G4:
[72] enricomolinari,#ehealth [64] visualcap,enricomolinari [63] #marketing,#fintech [63] trends,2023 [63] #ehealth,#marketing [63] #fintech,#finserv [61] tech,trends [61] 11,tech [56] 2023,visualcap [48] #finserv,#ai Top Word Pairs in Tweet in G5:
[17] #ehealth,#mhealth [14] #infographic,deloitte [13] #digitalhealth,#ehealth [10] khulood_almani,danfiehn [10] rldi_lamy,chidambara09 [10] deloitte,khulood_almani [10] #iot,#iiot [10] sonu_monika,#infographic [10] danfiehn,bimedotcom [10] bimedotcom,rldi_lamy Top Word Pairs in Tweet in G6:
[16] ehealth,inc [11] february,28 [11] 28,30 [11] earnings,call [11] hold,fourth [11] quarter,fiscal [11] year,2022 [11] call,february [11] fiscal,year [11] 30,eastern Top Word Pairs in Tweet in G7:
[16] health,records [16] electronic,health [8] initiative,flagship [8] cancer,images [8] #eucancerimaging,initiative [7] images,#eucancerimaging [7] million,cancer [7] 60,million [7] #eucancerplan,create [7] flagship,initiative Top Word Pairs in Tweet in G8:
[16] ehealth,ontario [15] 8b,tax [15] payer,money [15] vanished,under [15] money,vanished [15] tax,payer [15] ontario,8b [14] liberals,conservatives [14] remember,ehealth [13] data,those Top Word Pairs in Tweet in G9:
[14] bundesregierung,plant [14] plant,keine [14] keine,anreize [12] die,digitale [12] außerhalb,praxis [12] kommunikation,patientinnen [12] #digitalisierung,die [12] patienten,außerhalb [12] praxisbarometer,#digitalisierung [12] digitale,kommunikation Top Word Pairs in Tweet in G10:
[10] disponible,gracias [8] salud,personas [8] tecnología,disponible [8] personas,tecnología [7] #ehealth,#digitalhealth [6] #ehealth,gracias [6] #salud,#ehealth [6] #esalud,#ehealth [6] novedades,eheatlth [6] eheatlth,#esalud 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: