The graph represents a network of 2,041 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 2211-day, 7-hour, 55-minute period from Monday, 26 December 2016 at 16:53 UTC to Monday, 16 January 2023 at 00:49 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 : 2041
Unique Edges : 2344
Edges With Duplicates : 11519
Total Edges : 13863
Number of Edge Types : 9
Retweet : 2761
MentionsInRetweet : 4101
Replies to : 372
MentionsInReplyTo : 1167
Tweet : 968
Mentions : 3728
MentionsInQuote : 612
Quote : 116
MentionsInQuoteReply : 38
Self-Loops : 3628
Reciprocated Vertex Pair Ratio : 0.0489610019925989
Reciprocated Edge Ratio : 0.0933514246947083
Connected Components : 137
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 1586
Maximum Edges in a Connected Component : 12766
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.501227
Graph Density : 0.000885042895159044
Modularity : 0.234011
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,041 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 2211-day, 7-hour, 55-minute period from Monday, 26 December 2016 at 16:53 UTC to Monday, 16 January 2023 at 00:49 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:
[2056] #healthtech,#smartcity [2048] #datascientist,#csuite [2048] #csuite,#digitalhealth [2045] #digitalhealth,#web3 [2043] #ehealth,#finserv [2043] #web3,#cx [2041] #cx,#ehealth [1717] #smartcity,#5g [1713] #5g,#datascientist [1188] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[109] public,health [108] contagion,control [107] suit,public [107] control,supposed [107] strong,suit [107] pandemic,blunders [107] supposed,strong [107] biggest,pandemic [107] blunders,contagion [106] p_mcculloughmd,biggest Top Word Pairs in Tweet in G2:
[245] #digital,#digitalhealth [237] #healthtech,#smartcity [236] #csuite,#digitalhealth [236] #digitalhealth,#web3 [236] #datascientist,#csuite [234] #cx,#ehealth [234] #web3,#cx [233] chidambara09,#healthtech [232] #ehealth,#finserv [221] #digitalhealth,#ehealth Top Word Pairs in Tweet in G3:
[39] #digitalhealth,#ehealth [26] soon,overtake [26] #ehealth,#ev [26] overtake,coal [26] coal,electricity [26] #ev,#fintech [26] #renewables,soon [26] electricity,generation [24] enricomolinari,#renewables [24] #healthtech,#medtech Top Word Pairs in Tweet in G4:
[1810] #healthtech,#smartcity [1805] #ehealth,#finserv [1803] #csuite,#digitalhealth [1803] #digitalhealth,#web3 [1803] #datascientist,#csuite [1802] #web3,#cx [1801] #cx,#ehealth [1570] #smartcity,#5g [1567] #5g,#datascientist [949] chidambara09,#healthtech Top Word Pairs in Tweet in G5:
[14] tag,friends [12] giving,away [10] good,luck [8] 24,hours [6] enter,follow [5] winner,announced [5] ehealth_care,ellyhoover2 [5] retweet,tag [5] retweet,comment [4] lucky,winner Top Word Pairs in Tweet in G6:
[12] ehealth_care,谢谢分享 [9] ehealth_care,感谢 [5] ehealth_care,学习了 [5] ehealth_care,感谢分享 [4] 感谢,分享 [4] ehealth_care,一切都已经开始 [2] 哦,学习了 [2] ehealth_care,感恩分享 [2] ehealth_care,好好学习 [2] 如果喜欢,记着点赞和订阅哦 Top Word Pairs in Tweet in G7:
[6] deutschland,immer [6] sexual,assault [6] ehealth,bereitet [6] #digital,#digitalhealth [6] schmerzen,ohne [6] #ehealth,#digitalhealth [6] bereitet,deutschland [6] #digitalhealth,#ehealth [6] immer,schmerzen [6] ohne,grund Top Word Pairs in Tweet in G8:
[18] ehealth,ontario [13] vanished,under [13] ontario,8b [13] payer,money [13] under,liberals [13] money,vanished [13] liberals,conservatives [13] 8b,tax [13] tax,payer [12] integrated,health Top Word Pairs in Tweet in G9:
[17] palazzo_chigi,giorgiameloni [17] ehealth_eu,marcellogemmato [17] giorgiameloni,eu_commission [17] skyriakideseu,ehealth_eu [17] eu_commission,skyriakideseu [16] ancora,gli [16] perché,noi [16] testiamo,ancora [16] noi,testiamo [16] marcellogemmato,perché Top Word Pairs in Tweet in G10:
[11] granadadigital,espacio [11] #hoy,salud [11] #twitch,granadadigital [11] programa,#hoy [11] protagonista,programa [11] #telemedicina,protagonista [11] espacio,coordinado [11] salud,#twitch [10] ehealthuoc,#telemedicina [6] millones,euros 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 G8:
Top Replied-To in G9:
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: