The graph represents a network of 2,206 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 2239-day, 7-hour, 48-minute period from Monday, 26 December 2016 at 16:53 UTC to Monday, 13 February 2023 at 00:41 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 : 2206
Unique Edges : 2231
Edges With Duplicates : 11357
Total Edges : 13588
Number of Edge Types : 9
Tweet : 644
Retweet : 3082
MentionsInRetweet : 4639
Quote : 125
Mentions : 3519
MentionsInReplyTo : 835
Replies to : 350
MentionsInQuote : 362
MentionsInQuoteReply : 32
Self-Loops : 3214
Reciprocated Vertex Pair Ratio : 0.0528647371529829
Reciprocated Edge Ratio : 0.100420757363254
Connected Components : 181
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 1678
Maximum Edges in a Connected Component : 12544
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.205026
Graph Density : 0.000732901199162046
Modularity : 0.236352
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,206 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 2239-day, 7-hour, 48-minute period from Monday, 26 December 2016 at 16:53 UTC to Monday, 13 February 2023 at 00:41 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:
[2042] #healthtech,#smartcity [2038] #smartcity,#5g [2033] #csuite,#digitalhealth [2028] #vive2023,#healthtech [2024] #datascientist,#csuite [2024] #5g,#datascientist [2024] #digitalhealth,#web3 [2022] #web3,#cx [2017] #cx,#ehealth [1290] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[2023] #healthtech,#smartcity [2020] #smartcity,#5g [2015] #csuite,#digitalhealth [2009] #vive2023,#healthtech [2006] #5g,#datascientist [2006] #datascientist,#csuite [2006] #digitalhealth,#web3 [2003] #web3,#cx [1999] #cx,#ehealth [1272] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[70] #ehealth,#finserv [70] #finserv,#fintech [69] #payments,#ehealth [69] bcc_council,enricomolinari [69] #marketing,#payments [60] enricomolinari,#marketing [44] use,cases [43] #smartcontracts,bcc_council [43] cases,#smartcontracts [25] visualcap,enricomolinari Top Word Pairs in Tweet in G3:
[18] cdcemergency,cdc_ehealth [17] cdcgov,cdcdirector [15] cdcdirector,cdcemergency [11] cdc_ehealth,cdcglobal [7] cdc_ehealth,cdcflu [7] cdcglobal,cdcfound [5] cdcgov,cdcemergency [5] cdcdirector,cdc_ehealth [4] updfspokespersn,cdfupdf [4] cdcflu,cdcglobal Top Word Pairs in Tweet in G4:
[16] #ehealth4all,jcwemyss [15] programme,provides [15] learn,more [13] clinical,education [13] education,programme [13] control,amric [13] antimicrobial,resistance [13] more,antimicrobial [13] infection,control [13] taking,place Top Word Pairs in Tweet in G5:
[51] ehealth,ontario [51] remember,ehealth [49] payer,money [49] vanished,under [49] under,liberals [49] 8b,tax [49] ontario,8b [49] money,vanished [49] tax,payer [48] liberals,conservatives Top Word Pairs in Tweet in G6:
[11] livingston,transition [11] randall,livingston [11] board,directors [11] ehealth,board [11] transition,ehealth [7] ehealth,nsw [7] ehth,randall [6] health,#research [6] #ehealth,#healthlit [6] #ehealth,#digitalhealth Top Word Pairs in Tweet in G7:
[11] ehealth_care,感谢分享 [6] action,action [3] ehealth_care,ccp [3] ehealth_care,everything [3] begun,action [3] ehealth_care,好 [3] ehealth_care,一切都已经开始 [3] everything,begun [2] o2supplier02,ehealth_care [2] ehealth_care,涨知识 Top Word Pairs in Tweet in G8:
[142] #festicomsanté,medshakestudio [142] prix,#podcastsanté [117] #podcastsanté,francophone [117] francophone,#festicomsanté [78] medshakestudio,catégorie [67] gagnant,prix [53] noeldominique,gagnant [48] #hcsmeufr,#esante [42] #esante,#ehealth [31] femmes,santé Top Word Pairs in Tweet in G9:
[10] #digitalhealth,#ehealth [6] dewall's,daily [6] mhealth,advocate [6] advocate,thanks [6] latest,mhealth [6] daily,dose [6] dose,ehealth [6] ehealth,stories [2] resume,cv [2] international,task Top Word Pairs in Tweet in G10:
[9] kbv,mittagstalk [8] kennst,die [8] #ehealth,mehr [8] neustadt,mehrheit [8] offen,elektronische [8] bad,neustadt [8] patientenakte,bad [8] 12,30 [8] 30,uhr [8] mehrheit,bürger Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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: