The graph represents a network of 2,371 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 1455-day, 2-hour, 50-minute period from Monday, 18 March 2019 at 20:47 UTC to Sunday, 12 March 2023 at 23:38 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 : 2371
Unique Edges : 2750
Edges With Duplicates : 16926
Total Edges : 19676
Number of Edge Types : 9
Retweet : 3124
MentionsInRetweet : 6574
Mentions : 5202
MentionsInReplyTo : 3191
Replies to : 411
Tweet : 655
Quote : 182
MentionsInQuote : 308
MentionsInQuoteReply : 29
Self-Loops : 2799
Reciprocated Vertex Pair Ratio : 0.057426597582038
Reciprocated Edge Ratio : 0.108615761535321
Connected Components : 170
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 1771
Maximum Edges in a Connected Component : 18489
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.987192
Graph Density : 0.00087164346970336
Modularity : 0.199735
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,371 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 1455-day, 2-hour, 50-minute period from Monday, 18 March 2019 at 20:47 UTC to Sunday, 12 March 2023 at 23:38 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:
[1441] #healthtech,#smartcity [1440] #csuite,#digitalhealth [1439] #datascientist,#csuite [1437] #digitalhealth,#web3 [1435] #web3,#cx [1424] #vive2023,#healthtech [933] #smartcity,#ata2023 [930] #ata2023,#datascientist [885] #ehealth,#finserv [823] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[1202] #healthtech,#smartcity [1201] #datascientist,#csuite [1201] #csuite,#digitalhealth [1199] #digitalhealth,#web3 [1198] #web3,#cx [1193] #vive2023,#healthtech [805] #smartcity,#ata2023 [803] #ata2023,#datascientist [645] #ehealth,#finserv [638] #cx,#ehealth Top Word Pairs in Tweet in G2:
[180] #healthtech,#smartcity [180] #csuite,#digitalhealth [179] #datascientist,#csuite [179] #digitalhealth,#web3 [178] #web3,#cx [174] #vive2023,#healthtech [173] chidambara09,#vive2023 [145] #ehealth,#health [99] #smartcity,#ata2023 [98] #ata2023,#datascientist Top Word Pairs in Tweet in G3:
[209] #ehealth,#finserv [198] enricomolinari,#metaverse [191] enricomolinari,#chatgpt [179] gartner_inc,enricomolinari [164] #chatgpt,#marketing [162] #metaverse,gartner_inc [160] #marketing,#ehealth [119] #ehealth,#marketing [104] zhao,enricomolinari [104] guodong,troy Top Word Pairs in Tweet in G4:
[9] cdcgov,cdcemergency [7] nihdirector,nihclinicalcntr [7] cdcgov,cdc_ehealth [7] cdcemergency,cdc_ehealth [7] drjamesolsson,niaidnews [7] niaidcareers,niaidbioit [7] nih,nihdirector [7] niaidnews,niaidfunding [7] niaidfunding,niaidcareers [7] niaidclinregs,nih Top Word Pairs in Tweet in G5:
[8] #ehealth,#digitalhealth [7] ehealth,inc [6] health,#research [6] #ehealth,#healthlit [6] geräten,überwacht [6] ausgewertet,vieles [6] überwacht,labor [6] #research,social [6] #informationbehavior,#ehealth [6] blutproben,ausgewertet Top Word Pairs in Tweet in G6:
[4] take,down [4] down,ccp [4] ehealth_care,厉害 [3] ehealth_care,推翻中国共产党 [3] 拯救世界,中共不等于中国人 [3] ehealth_care,好 [3] 中共不等于中国人,take [3] 推翻中国共产党,拯救世界 [2] action,action [2] ehealth_care,ccp Top Word Pairs in Tweet in G7:
[28] wollen,halbgarer [28] laien,wollen [28] technische,laien [24] #digitalisierungsstrategie,punkten [24] halbgarer,#digitalisierungsstrategie [24] ehealth,technische [22] punkten,lauterbach [22] #kritis,sektor [22] sektor,#gesundheit [22] #gesundheit,ehealth Top Word Pairs in Tweet in G8:
[53] #health,#healthcareit [53] #healthcare,#digitalhealth [53] #ehealth,#healthcare [52] #healthcareit,#ehealth [29] #hospital,#clinics [29] #doctors,#hospital [24] #ehr,#emr [23] #clinics,#ehr [23] #emr,#health [7] #digitalhealth,#fridaysforfuture Top Word Pairs in Tweet in G9:
[37] #salesforce,#corpgov [37] #corpgov,#csuite [26] #csuite,#saas [25] #saas,#workday [25] #cx,#web3 [25] #healthtech,#cx [25] #workday,#healthtech [21] chidambara09,hegilr [21] nodexl,this0499154500 [21] this0499154500,chidambara09 Top Word Pairs in Tweet in G10:
[19] ehealth,ontario [14] selected,ceo [12] remember,ehealth [12] 8b,tax [12] tax,payer [12] payer,money [12] vanished,under [12] money,vanished [12] ontario,8b [12] under,liberals Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: