The graph represents a network of 1,413 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 2204-day, 8-hour, 2-minute period from Monday, 26 December 2016 at 16:53 UTC to Monday, 09 January 2023 at 00:55 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 : 1413
Unique Edges : 1128
Edges With Duplicates : 11189
Total Edges : 12317
Number of Edge Types : 9
Retweet : 2649
MentionsInRetweet : 3198
Mentions : 4676
Tweet : 618
Replies to : 293
MentionsInReplyTo : 612
Quote : 67
MentionsInQuote : 201
MentionsInQuoteReply : 3
Self-Loops : 4618
Reciprocated Vertex Pair Ratio : 0.0368831168831169
Reciprocated Edge Ratio : 0.0711422845691383
Connected Components : 97
Single-Vertex Connected Components : 60
Maximum Vertices in a Connected Component : 1010
Maximum Edges in a Connected Component : 11350
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.158827
Graph Density : 0.0010004230245655
Modularity : 0.150666
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,413 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 2204-day, 8-hour, 2-minute period from Monday, 26 December 2016 at 16:53 UTC to Monday, 09 January 2023 at 00:55 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:
[3071] #datascientist,#csuite [3071] #healthtech,#smartcity [3071] #smartcity,#datascientist [3071] #csuite,#digitalhealth [3069] #web3,#cx [3069] #digitalhealth,#web3 [3067] #cx,#ehealth [3066] #ehealth,#finserv [1765] chidambara09,#healthtech [1625] #finserv,#mark Top Word Pairs in Tweet in G1:
[197] #web3,#cx [197] #healthtech,#smartcity [197] #digitalhealth,#web3 [197] #csuite,#digitalhealth [197] #datascientist,#csuite [197] #smartcity,#datascientist [197] #cx,#ehealth [196] chidambara09,#healthtech [196] #ehealth,#finserv [165] #digitalhealth,#ehealth Top Word Pairs in Tweet in G2:
[65] #digitalhealth,#ehealth [58] #healthtech,#digitalhealth [57] #wheelchair,#healthtech [54] #ehealth,#ai [50] #mobility,#wheelchair [49] reduced,#mobility [49] inventions,help [49] people,reduced [49] help,people [48] khulood_almani,inventions Top Word Pairs in Tweet in G3:
[15] cdcgov,cdcdirector [15] cdcdirector,cdc_ehealth [12] learn,more [11] twitter,media [11] policy,learn [11] account,temporarily [11] temporarily,unavailable [11] violates,twitter [11] media,policy [11] global1_org's,account Top Word Pairs in Tweet in G4:
[62] #medtwitter,#clinic [62] #cardiology,#medtwitter [62] definition,classification [62] heartfailure,#cardiology [62] classification,heartfailure [62] #clinic,#icu [62] universal,definition [61] #icu,#cardiov [61] apothera,universal [27] #medtwitter,#meded Top Word Pairs in Tweet in G5:
[12] ehealth_care,谢谢分享 [9] ehealth_care,感谢分享 [5] ehealth_care,学习了 [4] 消灭共匪,根除共匪 [4] ehealth_care,不错 [4] ehealth_care,谢谢战友分享 [4] ehealth_care,get_this_v [4] ehealth_care,收藏了 [4] ehealth_care,消灭共匪 [3] ehealth_care,thank Top Word Pairs in Tweet in G6:
[2729] #healthtech,#smartcity [2729] #csuite,#digitalhealth [2729] #datascientist,#csuite [2729] #smartcity,#datascientist [2728] #digitalhealth,#web3 [2727] #web3,#cx [2726] #ehealth,#finserv [2726] #cx,#ehealth [1425] chidambara09,#healthtech [1340] #finserv,#mark Top Word Pairs in Tweet in G7:
[7] tag,friends [6] 48,hours [5] ehealth_care,moore24tamara [4] winners,announced [4] retweet,tag [4] enter,follow [3] winner,announced [3] giving,away [3] patrickporterf9,ehealth_care [3] friends,winners Top Word Pairs in Tweet in G8:
[16] listing,rule [16] announces,inducement [16] inducement,grants [16] ehealth,inc [16] under,nasdaq [16] grants,under [16] nasdaq,listing [16] rule,5635 [15] machine,learning [15] inc,announces Top Word Pairs in Tweet in G9:
[10] solutions,products [10] incredible,solutions [9] web3,smart [9] products,web3 [9] smart,contracts [8] ehealth,smart [8] #digitalhealth,#ehealth [8] identity,smart [8] energy,mobility [8] industry,ehealth Top Word Pairs in Tweet in G10:
[4] informal,caregivers [4] european,patients [4] launch,survey [4] announcing,launch [4] 26,languages [4] survey,european [4] available,26 [4] caregivers,citizens [4] patients,informal [4] citizens,available 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 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: