The graph represents a network of 2,056 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 1559-day, 12-hour, 52-minute period from Tuesday, 27 November 2018 at 11:57 UTC to Monday, 06 March 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 : 2056
Unique Edges : 2452
Edges With Duplicates : 13597
Total Edges : 16049
Number of Edge Types : 9
Retweet : 3259
MentionsInRetweet : 5688
MentionsInReplyTo : 1214
Replies to : 200
Tweet : 491
Mentions : 4718
Quote : 127
MentionsInQuote : 346
MentionsInQuoteReply : 6
Self-Loops : 3460
Reciprocated Vertex Pair Ratio : 0.0509418944016981
Reciprocated Edge Ratio : 0.0969452158545822
Connected Components : 174
Single-Vertex Connected Components : 100
Maximum Vertices in a Connected Component : 1483
Maximum Edges in a Connected Component : 15005
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.978113
Graph Density : 0.000937497041476138
Modularity : 0.214381
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,056 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 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 06:19 UTC.
The tweets in the network were tweeted over the 1559-day, 12-hour, 52-minute period from Tuesday, 27 November 2018 at 11:57 UTC to Monday, 06 March 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:
[2595] #healthtech,#smartcity [2591] #digitalhealth,#web3 [2588] #vive2023,#healthtech [2583] #csuite,#digitalhealth [2571] #datascientist,#csuite [2568] #web3,#cx [2563] #smartcity,#ata2023 [2539] #ata2023,#datascientist [1571] chidambara09,#vive2023 [1247] #ehealth,#finserv Top Word Pairs in Tweet in G1:
[2406] #healthtech,#smartcity [2402] #digitalhealth,#web3 [2400] #vive2023,#healthtech [2394] #csuite,#digitalhealth [2383] #datascientist,#csuite [2381] #web3,#cx [2374] #smartcity,#ata2023 [2351] #ata2023,#datascientist [1387] chidambara09,#vive2023 [1232] #ehealth,#finserv Top Word Pairs in Tweet in G2:
[149] #csuite,#digitalhealth [149] #healthtech,#smartcity [149] #digitalhealth,#web3 [149] #smartcity,#ata2023 [148] #web3,#cx [148] #vive2023,#healthtech [148] #ata2023,#datascientist [148] #datascientist,#csuite [145] chidambara09,#vive2023 [88] digital,health Top Word Pairs in Tweet in G3:
[8] cdcgov,cdcdirector [7] cdcemergency,cdc_ehealth [6] cdcdirector,cdcemergency [4] nurses_ug,ugnurmidw [4] nursesuganda,nurses_ug [4] ntvuganda,githosr96 [4] theumaofficial,nursesuganda [4] atiluk_1,pwatchug [4] ugnurmidw,ntvuganda [4] githosr96,emoujhara Top Word Pairs in Tweet in G4:
[86] digital,health [73] #digitalhealth,#ehealth [64] #health,#healthcareit [64] #healthcareit,#ehealth [62] #healthcare,#digitalhealth [60] #ehealth,#healthcare [50] #ehealth,#telehealth [47] #telehealth,#telemedicine [40] artificial,intelligence [37] health,leaders Top Word Pairs in Tweet in G5:
[11] ehealth,inc [8] ehth,ehealth [8] asistentes,inversores [8] summit,reúne [8] sectores,ehealth [8] inc,ehth [8] reúne,300 [8] inversores,sectores [8] lifetech,summit [8] ehealth,foodtech Top Word Pairs in Tweet in G6:
[10] enter,follow [9] tag,friends [5] giving,away [4] 24,hours [3] retweet,tag [3] marzellitrading,ehealth_care [3] ehealth_care,fergusonsonia99 [3] tag,frens [3] nyetengale,ehealth_care [3] retweet,comment Top Word Pairs in Tweet in G7:
[19] selected,ceo [16] ehealth,ontario [12] ontario,healthcare [11] jobs,selected [11] two,full [11] allowed,two [11] healthcare,managers [11] time,jobs [11] full,time [9] lost,billion Top Word Pairs in Tweet in G8:
[4] impressionant,emprenedoria [4] particular,#4yfn23 [4] cita,fa [4] #mwc2023,particular [4] #ehealth,co [4] uocuniversitat,fidel [4] fidel,cita [4] emprenedoria,#mwc2023 [4] #4yfn23,uocuniversitat [3] sigut,difícil Top Word Pairs in Tweet in G9:
[15] jcwemyss,frthompson [10] ehealthireland,jcwemyss [9] great,work [9] frthompson,hmurphy66396088 [8] partnership,ehealth [8] foundation,running [8] grade,sap [8] pnolan99,ehealthireland [8] running,health [8] data,analytics Top Word Pairs in Tweet in G10:
[50] power,sustainable [50] launched,pakistan [50] drive,inclusion [50] sustainable,development [50] pakistan,drive [50] inclusion,power [50] project,launched [50] #gokinasmartvillage,project [49] huawei_tech4all,#gokinasmartvillage Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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 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: