The graph represents a network of 1,238 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 03:19 UTC.
The tweets in the network were tweeted over the 2567-day, 18-hour, 9-minute period from Tuesday, 01 March 2016 at 05:50 UTC to Monday, 13 March 2023 at 00:00 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 : 1238
Unique Edges : 1533
Edges With Duplicates : 15845
Total Edges : 17378
Number of Edge Types : 8
Retweet : 3350
MentionsInRetweet : 5856
Tweet : 774
Mentions : 3750
MentionsInReplyTo : 3270
Quote : 17
MentionsInQuote : 105
Replies to : 256
Self-Loops : 2656
Reciprocated Vertex Pair Ratio : 0.0656634746922025
Reciprocated Edge Ratio : 0.123234916559692
Connected Components : 69
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 1055
Maximum Edges in a Connected Component : 17092
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.279813
Graph Density : 0.00203473148204983
Modularity : 0.125187
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,238 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 03:19 UTC.
The tweets in the network were tweeted over the 2567-day, 18-hour, 9-minute period from Tuesday, 01 March 2016 at 05:50 UTC to Monday, 13 March 2023 at 00:00 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:
[1279] #digitalhealth,#socialmedia [1256] #healthtech,#smartcity [1253] #csuite,#digitalhealth [1252] #datascientist,#csuite [1250] #vive2023,#healthtech [1250] #web3,#cx [1250] #digitalhealth,#web3 [903] #smartcity,#ata2023 [900] #ata2023,#datascientist [707] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[198] #artificialintelligence,#automation [187] #openai,#openaichatgpt [182] #openaichatgpt,#chatgpt [181] #chatgpt,#data [175] #data,#artificialintelligence [133] #automation,#digitalhealth [105] #generativeai,#openai [98] #digitalhealth,#healthtech [79] khulood_almani,danfiehn [77] sonu_monika,#generativeai Top Word Pairs in Tweet in G2:
[1114] #healthtech,#smartcity [1112] #csuite,#digitalhealth [1111] #datascientist,#csuite [1109] #vive2023,#healthtech [1109] #web3,#cx [1109] #digitalhealth,#web3 [797] #smartcity,#ata2023 [795] #ata2023,#datascientist [566] chidambara09,#vive2023 [543] #ehealth,#finserv Top Word Pairs in Tweet in G3:
[163] #digitalhealth,#socialmedia [57] digital,health [55] #csuite,#digitalhealth [55] #healthtech,#smartcity [55] chidambara09,#vive2023 [55] #datascientist,#csuite [54] #digitalhealth,#web3 [54] #web3,#cx [54] #vive2023,#healthtech [54] #cx,#ehe Top Word Pairs in Tweet in G4:
[131] dose,regimens [82] #medtwitter,#meded [70] iv,dose [56] #medtwitter,#bioinformatics [43] barre,syndrome [43] guillain,barre [40] #meded,#bioinformatics [36] #meded,#medtwitter [34] apothera,guillain [33] apothera,disease Top Word Pairs in Tweet in G5:
[966] #digitalhealth,#socialmedia [585] #socialmedia,#digitalmarketing [116] #digitalmarketing,#mhealth [114] #ai,#healthtech [112] #digitalmarketing,#ai [108] #digitalmarketing,#industry40 [106] #mhealth,#healthtech [102] #iot,#industry40 [100] #ai,#iot [99] #iot,#ai Top Word Pairs in Tweet in G6:
[46] #sustainable,#transportation [46] japan,building [46] #smartcities,#sustainable [46] building,#future [46] #future,#smartcities [45] glengilmore,japan [45] #transportation,#ev [37] #ev,#autonomousvehicles [37] #mhealth,#rpm [37] #autonomousvehicles,#mhealth Top Word Pairs in Tweet in G7:
[40] #ai,#machinelearning [30] #machinelearning,#python [24] comprar,relato [24] sbr,#mhealth [24] relato,co [24] #mhealth,gracias [24] gracias,leer [22] xa,consalud_es [22] consalud_es,sbr [18] uzzmy1mnic,xa Top Word Pairs in Tweet in G8:
[14] latest,mhealth [7] mhealth,advocate [7] advocate,thanks [7] daily,thanks [7] mhealth,daily [4] #datascientist,#csuite [4] #digitalhealth,#web3 [4] #healthtech,#smartcity [4] #vive2023,#healthtech [4] #web3,#cx Top Word Pairs in Tweet in G9:
[11] #digitalhealth,#healthit [11] #healthtech,#healthcaretechnology [11] #healthit,#healthtech [7] mhealth,intelligence [6] jmir,mhealth [6] mhealth,uhealth [4] randomized,controlled [4] controlled,trial [3] mhealth,coaches [3] content,analysis Top Word Pairs in Tweet in G10:
[21] digital,technologies [21] technologies,co [21] digital,health [21] related,digital [21] health,technologies [21] aspects,related [21] douxrygkvj,covers [21] co,douxrygkvj [21] exploration,digital [21] covers,aspects Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: