The graph represents a network of 1,413 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 03:06 UTC.
The tweets in the network were tweeted over the 3044-day, 1-hour, 25-minute period from Monday, 08 September 2014 at 23:34 UTC to Monday, 09 January 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 : 1413
Unique Edges : 1088
Edges With Duplicates : 9465
Total Edges : 10553
Number of Edge Types : 8
Retweet : 3173
MentionsInRetweet : 4454
Tweet : 1241
Mentions : 1248
MentionsInQuote : 86
Quote : 44
Replies to : 86
MentionsInReplyTo : 221
Self-Loops : 1658
Reciprocated Vertex Pair Ratio : 0.0451201569396763
Reciprocated Edge Ratio : 0.0863444392304083
Connected Components : 159
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1011
Maximum Edges in a Connected Component : 9847
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.929702
Graph Density : 0.00106808690648751
Modularity : 0.179542
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,413 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 1/8/2023 5:00:34 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 03:06 UTC.
The tweets in the network were tweeted over the 3044-day, 1-hour, 25-minute period from Monday, 08 September 2014 at 23:34 UTC to Monday, 09 January 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:
[802] #digitalhealth,#socialmedia [439] gt,gt [417] #socialmedia,#digitalmarketing [319] #ehealth,#mhealth [300] #ai,#iot [295] digital,health [271] #telehealth,#telemedicine [251] #digitalhealth,#wearables [251] #analytics,#bigdata [224] #bigdata,#ai Top Word Pairs in Tweet in G1:
[240] #analytics,#bigdata [227] #ai,#iot [213] #bigdata,#ai [209] #serverless,#flutter [204] #machinelearning,#ai [173] #flutter,#javascript [151] #ai,#python [149] #serverless,#javascript [134] #analytics,#machinelearning [134] #iot,#serverless Top Word Pairs in Tweet in G2:
[609] #digitalhealth,#socialmedia [349] #socialmedia,#digitalmarketing [278] gt,gt [219] #telehealth,#telemedicine [192] #ehealth,#mhealth [156] #digitalhealth,#wearables [137] digital,health [129] #wearables,series [116] #mhealth,#telehealth [108] series,wearablesexpert Top Word Pairs in Tweet in G3:
[100] #digitalhealth,#socialmedia [91] gt,gt [75] #ehealth,#mhealth [71] digital,health [66] #digitalhealth,#wearables [61] #wearables,series [58] series,wearablesexpert [36] #socialmedia,#digitalmarketing [35] #mhealth,#hcsm [32] #telehealth,#telemedicine Top Word Pairs in Tweet in G4:
[143] consalud_es,sbr [143] sbr,#mhealth [143] xa,consalud_es [113] gracias,leer [97] #mhealth,gracias [68] sostenible,co [68] consumo,sostenible [47] #mhealth,#ia [46] inteligencia,artificial [46] artificial,co Top Word Pairs in Tweet in G5:
[9] mobile,health [8] mhealth,app [8] health,mhealth [7] mhealth,apps [6] mhealth,intervention [6] health,informatics [5] proof,concept [5] sequential,mixed [5] market,report [5] report,2022 Top Word Pairs in Tweet in G6:
[26] latest,mhealth [26] daily,thanks [26] mhealth,daily [13] #digitalhealth,#socialmedia [6] #dhealth,#mhealth [6] 医療分野も進化しています,携帯電話は今や何千キロも離れた人々をつないでいます [6] 世界は進化しており,医療分野も進化しています [6] #mhealth,#mobilehealth [6] なぜそれを自分たちの健康状態のモニタリングにも利用しないのでしょうか,#dhealth [6] では,なぜそれを自分たちの健康状態のモニタリングにも利用しないのでしょうか Top Word Pairs in Tweet in G7:
[2] manishreebhatt1,krayker [2] 55bio,manishreebhatt1 [2] krayker,rmnth [2] msharmas,himssindia [2] bipin4uk,55bio [2] kousikraj,philipsblore [2] rmnth,drvikram [2] supten,bipin4uk [2] drvikram,kousikraj [2] himssindia,supten Top Word Pairs in Tweet in G8:
[33] #hcsm,#mhealth [10] use,mobile [8] #vaccine,#hcsm [7] #vaccine,news [6] #polio,#vaccine [6] mobile,devices [6] #healthcare,#healthtech [6] #healthtech,#wearabletech [6] news,dec [6] #wearabletech,#iot Top Word Pairs in Tweet in G9:
[9] #mhealth,#app [8] formative,res [8] jmir,formative [8] jmirpub,jmir [6] quality,life [5] #app,based [5] effects,non [5] guided,transdiagnostic [5] based,interventions [5] #patient,empowerment Top Word Pairs in Tweet in G10:
[53] #mhealth,#hcsm [52] #hcsm,#hcsmeu [25] mhealth,advocate [25] latest,mhealth [23] advocate,thanks [19] #digitalhealth,#ehealth [14] digital,health [6] thanks,caring_mobile [6] #digitalhealth,#healthtech [6] more,digital 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 G5:
Top Replied-To in G7:
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: