The graph represents a network of 1,064 Twitter users whose recent tweets contained "mhealth", 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 03:03 UTC.
The tweets in the network were tweeted over the 1559-day, 13-hour, 2-minute period from Tuesday, 27 November 2018 at 11:57 UTC to Monday, 06 March 2023 at 01:00 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 : 1064
Unique Edges : 1067
Edges With Duplicates : 12786
Total Edges : 13853
Number of Edge Types : 9
Retweet : 3419
MentionsInRetweet : 4974
Mentions : 3231
Replies to : 141
MentionsInReplyTo : 1417
Tweet : 589
MentionsInQuote : 62
Quote : 19
MentionsInQuoteReply : 1
Self-Loops : 3083
Reciprocated Vertex Pair Ratio : 0.0607709750566893
Reciprocated Edge Ratio : 0.114578879863189
Connected Components : 61
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 894
Maximum Edges in a Connected Component : 13529
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.62243
Graph Density : 0.00206802283224524
Modularity : 0.130352
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,064 Twitter users whose recent tweets contained "mhealth", 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 03:03 UTC.
The tweets in the network were tweeted over the 1559-day, 13-hour, 2-minute period from Tuesday, 27 November 2018 at 11:57 UTC to Monday, 06 March 2023 at 01:00 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 : mhealth
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:
[2103] #healthtech,#smartcity [2101] #smartcity,#ata2023 [2101] #digitalhealth,#web3 [2097] #vive2023,#healthtech [2092] #csuite,#digitalhealth [2083] #datascientist,#csuite [2081] #ata2023,#datascientist [2079] #web3,#cx [1289] chidambara09,#vive2023 [840] #digitalhealth,#socialmedia Top Word Pairs in Tweet in G1:
[186] #smartcity,#ata2023 [186] #healthtech,#smartcity [186] #digitalhealth,#web3 [184] #csuite,#digitalhealth [184] #vive2023,#healthtech [183] #web3,#cx [183] #datascientist,#csuite [183] #ata2023,#datascientist [178] #artificialintelligence,#automation [177] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[1903] #healthtech,#smartcity [1901] #digitalhealth,#web3 [1901] #smartcity,#ata2023 [1899] #vive2023,#healthtech [1894] #csuite,#digitalhealth [1886] #datascientist,#csuite [1884] #web3,#cx [1884] #ata2023,#datascientist [1100] chidambara09,#vive2023 [814] #ehealth,#finserv Top Word Pairs in Tweet in G3:
[112] dose,regimens [88] iv,dose [87] status,epilepticus [74] #medtwitter,#meded [67] apothera,status [66] #medtwitter,#bioinformatics [65] algorithm,#neurotwitter [65] epilepticus,treatments [65] #neurotwitter,#seizures [65] treatments,algorithm Top Word Pairs in Tweet in G4:
[207] #artificialintelligence,#automation [133] #digitalhealth,#healthtech [107] #automation,#digitalhealth [101] #healthtech,#iot [93] #automation,#research [93] #iot,#technology [86] #data,#artificialintelligence [82] #healthcare,#artificialintelligence [79] #hospitals,#healthcare [55] #research,#digitalhealth Top Word Pairs in Tweet in G5:
[77] digital,health [50] #digitalhealth,#ehealth [42] artificial,intelligence [37] talking,artificial [37] health,leaders [37] leaders,talking [33] talwenderow,drdave01 [33] #telehealth,#telemedicine [33] lucienengelen,talwenderow [32] #ehealth,#telehealth Top Word Pairs in Tweet in G6:
[65] pain,addiction [65] looking,postdoc [65] mindfulness,psychedelic [65] chronic,pain [65] research,mindfulness [65] therapy,neurofeedback [65] postdoc,research [65] neurofeedback,chronic [65] psychedelic,therapy [64] drericgarland,looking Top Word Pairs in Tweet in G7:
[36] comprar,relato [35] sbr,#mhealth [35] #mhealth,gracias [35] ecsalud_com,sbr [35] gracias,leer [35] xa,ecsalud_com [34] relato,co [19] uzzmy1mnic,xa [19] co,uzzmy1mnic [18] dralfonsovidal,comprar Top Word Pairs in Tweet in G8:
[5] #lupus,#mhealth [5] disponible,gracias [5] alea,iacta [5] iacta,disponible [2] mercado,#mhealth [2] 00,movistar [2] 16,00 [2] #mhealthbcnconference,camfic [2] movistar,center [2] saludable,hoy Top Word Pairs in Tweet in G9:
[4] randomized,controlled [4] controlled,trial [3] mhealth,interventions [2] healthcare,workers [2] keystroke,dynamics [2] stress,healthcare [2] physical,activity [2] fitcor,study [2] enables,developer [2] extract,keystroke Top Word Pairs in Tweet in G10:
[17] mhealth,app [14] accessible,healthcare [14] healthcare,visits [13] woman,disability [13] facilitate,accessible [13] visits,treatments [12] app,designed [11] create,mhealth [11] designed,facilitate [10] disability,working 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 G5:
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: