The graph represents a network of 825 Twitter users whose tweets in the requested range contained "mhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 December 2022 at 03:04 UTC.
The requested start date was Monday, 26 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 7-hour, 56-minute period from Monday, 12 December 2022 at 04:00 UTC to Sunday, 25 December 2022 at 11:56 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 825
Unique Edges : 604
Edges With Duplicates : 5846
Total Edges : 6450
Number of Edge Types : 5
Retweet : 2136
MentionsInRetweet : 2812
Tweet : 821
Mentions : 634
Replies to : 47
Self-Loops : 955
Reciprocated Vertex Pair Ratio : 0.0413080895008606
Reciprocated Edge Ratio : 0.0793388429752066
Connected Components : 111
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 550
Maximum Edges in a Connected Component : 5998
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.50887
Graph Density : 0.00177993527508091
Modularity : 0.167369
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 825 Twitter users whose tweets in the requested range contained "mhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 26 December 2022 at 03:04 UTC.
The requested start date was Monday, 26 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 7-hour, 56-minute period from Monday, 12 December 2022 at 04:00 UTC to Sunday, 25 December 2022 at 11:56 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[584] #digitalhealth,#socialmedia [392] gt,gt [258] #socialmedia,#digitalmarketing [182] #ai,#iot [180] #ehealth,#mhealth [177] #digitalhealth,#wearables [177] #telehealth,#telemedicine [171] #wearables,series [151] series,wearablesexpert [142] #analytics,#bigdata Top Word Pairs in Tweet in G1:
[80] #telehealth,#telemedicine [74] gt,gt [71] #digitalhealth,#socialmedia [68] #mhealth,#hcsm [67] #telemedicine,#healthcare [58] #hcsm,#hcsmeu [52] #usa,#selfcare [52] #selfcare,#coronavirus [52] #home,#mhealth [52] #therapy,#primarycare Top Word Pairs in Tweet in G2:
[138] #digitalhealth,#wearables [133] #wearables,series [114] series,wearablesexpert [113] #ehealth,#mhealth [88] #telehealth,#telemedicine [84] #digitalhealth,#socialmedia [76] gt,gt [59] #mhealth,#telehealth [52] #mhealth,#ehealth [51] #digitalhealth,#ehealth Top Word Pairs in Tweet in G3:
[133] #ai,#iot [131] #machinelearning,#ai [131] #analytics,#bigdata [103] #bigdata,#ai [87] #analytics,#machinelearning [73] #serverless,#flutter [62] #python,#serverless [62] #ai,#python [61] #flutter,#bigdata [58] #iot,#iiot Top Word Pairs in Tweet in G4:
[413] #digitalhealth,#socialmedia [226] gt,gt [217] #socialmedia,#digitalmarketing [74] gt,#digitalhealth [59] #digitalhealth,#industry40 [54] #mhealth,#ai [52] #industry40,#healthcare [45] #digitalmarketing,#mhealth [45] #mhealth,#iot [45] #iot,#mhealth Top Word Pairs in Tweet in G5:
[4] mhealth,app [4] mobile,health [3] sectional,study [3] wellness,work [3] health,mhealth [3] health,informatics [3] mhealth,transforming [3] transforming,wellness [3] cross,sectional [3] acceptability,mhealth Top Word Pairs in Tweet in G6:
[59] consalud_es,sbr [59] #mhealth,gracias [59] gracias,leer [59] sbr,#mhealth [59] xa,consalud_es [31] consecuencias,co [31] estragos,consecuencias [28] co,ru41o13n6f [28] ru41o13n6f,xa [24] sostenible,co Top Word Pairs in Tweet in G7:
[11] jmirpub,jmir [10] formative,res [10] jmir,formative [8] #mhealth,#app [6] #smartphone,#mhealth [5] #app,based [5] based,interventions [5] quality,life [5] interventions,quality [5] #textmessaging,#mhealth Top Word Pairs in Tweet in G8:
[8] #medtwitter,#livertwitter [7] biliary,tree [7] #gitwitter,#clinic [7] #clinicalpearl,#medicalstudents [7] heterogeneity,biliary [7] #clinic,#clinicalpearl [7] tree,#gitwitter [6] apothera,heterogeneity [6] #medicalstudents,#medicalstud [5] dependent,treatment Top Word Pairs in Tweet in G9:
[12] mixed,methods [11] development,#ruminaid [11] check,first [11] results,mixed [11] paper,cover [11] methods,study [11] cover,development [11] first,ruminaidapp [11] ruminaidapp,paper [11] #ruminaid,results Top Word Pairs in Tweet in G10:
[14] programs,supported [14] mobile,app [14] effect,therapeutic [14] physical,activity [14] activity,programs [14] exercise,physical [14] supported,mobile [14] app,ppl [14] therapeutic,exercise [13] ppl,musculoskeleta 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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: