The graph represents a network of 1,745 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, 06 December 2021 at 02:44 UTC.
The requested start date was Monday, 06 December 2021 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, 9-hour, 7-minute period from Monday, 22 November 2021 at 02:55 UTC to Sunday, 05 December 2021 at 12:02 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 : 1745
Unique Edges : 1433
Edges With Duplicates : 6487
Total Edges : 7920
Number of Edge Types : 5
Retweet : 2401
MentionsInRetweet : 3088
Mentions : 1347
Tweet : 1016
Replies to : 68
Self-Loops : 1088
Reciprocated Vertex Pair Ratio : 0.0599001663893511
Reciprocated Edge Ratio : 0.113029827315542
Connected Components : 203
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 1169
Maximum Edges in a Connected Component : 6997
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.236423
Graph Density : 0.000837254541152967
Modularity : 0.288928
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,745 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, 06 December 2021 at 02:44 UTC.
The requested start date was Monday, 06 December 2021 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, 9-hour, 7-minute period from Monday, 22 November 2021 at 02:55 UTC to Sunday, 05 December 2021 at 12:02 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:
[688] #digitalhealth,#socialmedia [345] #socialmedia,#digitalmarketing [233] #iot,#iiot [216] #machinelearning,#ai [145] #analytics,#machinelearning [139] #ehealth,#mhealth [138] #ai,#python [124] gt,gt [119] #iiot,#ml [109] #ai,#iot Top Word Pairs in Tweet in G1:
[80] #digitalhealth,#socialmedia [39] #mhealth,#hcsm [29] digital,health [29] #hcsm,#hcsmeu [25] #digitalhealth,#mhealth [24] mobile,health [24] '#mhealth,industry [24] industry,perspective' [22] #healthcare,#healthtech [22] gym,tuttrainer Top Word Pairs in Tweet in G2:
[225] #iot,#iiot [209] #machinelearning,#ai [137] #analytics,#machinelearning [135] #ai,#python [117] #iiot,#ml [105] #reactjs,#iot [101] #python,#rstats [83] #ml,#nlp [81] #digitalhealth,#socialmedia [68] #dhpsp,#hospitalstalktolovedones Top Word Pairs in Tweet in G3:
[8] ukthcnews,tsavoice [8] digital,health [4] lizashallpayne,cflashman [3] improve,health [3] cflashman,lizashallpayne [3] wearablesexpert,digitalhealth2 [3] healthcare,wearablesexpert [2] wearablesexpert,ukthcnews [2] study,shows [2] smart,clothes Top Word Pairs in Tweet in G4:
[15] sistema,mhealth [13] #health,#mhealth [8] mhealth,apuesta [8] apuesta,equipo [8] equipo,consiste [8] consiste,programa [8] programa,ejercicio [8] ejercicio,físico [8] físico,monitorizado [8] monitorizado,través Top Word Pairs in Tweet in G5:
[350] #digitalhealth,#socialmedia [246] #socialmedia,#digitalmarketing [96] gt,gt [61] #digitalmarketing,#healthtech [59] #ai,#iot [57] #healthtech,#iot [56] #mhealth,#iot [54] #iot,#mhealth [53] #mhealth,#industry40 [53] #industry40,#ai Top Word Pairs in Tweet in G6:
[88] sbr,#mhealth [88] #mhealth,gracias [88] gracias,leer [62] xa,consalud_es [62] consalud_es,sbr [47] cambiazo,climático [47] climático,co [42] co,xmbkp4kvrg [42] xmbkp4kvrg,xa [41] consumismo,intransigencia Top Word Pairs in Tweet in G7:
[24] mhealth,technology [24] daily,functioning [21] technology,assess [21] assess,monitor [21] monitor,treat [21] treat,daily [21] functioning,difficulties [21] difficulties,people [21] people,severe [21] severe,mental Top Word Pairs in Tweet in G8:
[11] ihm_tweets,ics [11] ics,#digitalhealth [11] #digitalhealth,roundtable [11] skills,need [9] roylilley,meets [9] meets,lisaemnhs [8] roundtable,skills [7] long,left [7] left,register [7] register,ihm_tweets Top Word Pairs in Tweet in G9:
[171] #digitalhealth,#socialmedia [53] #socialmedia,#digitalmarketing [15] #socialmedia,#digitalm [14] latest,mhealth [14] mhealth,daily [14] daily,thanks [13] #socialmedia,#digitalmar [12] #socialmedia,#digitalmarke [11] #socialmedia,#digitalmark [9] #socialmedia,#digitalma Top Word Pairs in Tweet in G10:
[66] #digitalhealth,#healthit [48] #medtech,#mhealth [46] #healthit,#healthtech [45] #hospitals,#clinics [40] #healthtech,#medtech [37] hubbucket,hubdevops [37] hubdevops,hubdataops [29] #clinics,#digitalhealth [23] #healthcare,#hospitals [22] #healthcare,#lifesciences Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G7:
Top Replied-To in G8:
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: