The graph represents a network of 988 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, 19 December 2022 at 03:05 UTC.
The requested start date was Monday, 19 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, 10-hour, 10-minute period from Monday, 05 December 2022 at 01:02 UTC to Sunday, 18 December 2022 at 11:13 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 : 988
Unique Edges : 759
Edges With Duplicates : 6135
Total Edges : 6894
Number of Edge Types : 5
Retweet : 2243
MentionsInRetweet : 2959
Mentions : 763
Tweet : 876
Replies to : 53
Self-Loops : 997
Reciprocated Vertex Pair Ratio : 0.0460863204096562
Reciprocated Edge Ratio : 0.0881118881118881
Connected Components : 120
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 642
Maximum Edges in a Connected Component : 6346
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.592764
Graph Density : 0.00146643203754066
Modularity : 0.183551
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 988 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, 19 December 2022 at 03:05 UTC.
The requested start date was Monday, 19 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, 10-hour, 10-minute period from Monday, 05 December 2022 at 01:02 UTC to Sunday, 18 December 2022 at 11:13 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:
[642] #digitalhealth,#socialmedia [434] gt,gt [262] #socialmedia,#digitalmarketing [188] #digitalhealth,#wearables [181] #wearables,series [174] #telehealth,#telemedicine [172] #ehealth,#mhealth [162] series,wearablesexpert [145] digital,health [130] #ai,#iot Top Word Pairs in Tweet in G1:
[79] #mhealth,#hcsm [73] #hcsm,#hcsmeu [70] #digitalhealth,#socialmedia [68] gt,gt [47] digital,health [41] #digitalhealth,#wearables [41] #wearables,series [39] series,wearablesexpert [33] #hcsm,#mhealth [28] #ehealth,#mhealth Top Word Pairs in Tweet in G2:
[147] #digitalhealth,#wearables [140] #wearables,series [123] series,wearablesexpert [117] #ehealth,#mhealth [100] #telehealth,#telemedicine [86] gt,gt [82] #digitalhealth,#socialmedia [73] #mhealth,#telehealth [66] digital,health [59] #digitalhealth,#ehealth Top Word Pairs in Tweet in G3:
[76] #analytics,#bigdata [74] #ai,#iot [52] #bigdata,#ai [47] #ar,#vr [41] #iot,#iiot [39] #machinelearning,#ai [34] #analytics,#ai [32] future,#medicaleducation [32] columbiasurgery,analytics_699 [32] #medicaleducation,columbiasurgery Top Word Pairs in Tweet in G4:
[481] #digitalhealth,#socialmedia [262] gt,gt [226] #socialmedia,#digitalmarketing [86] gt,#digitalhealth [65] #digitalhealth,#industry40 [61] #mhealth,#ai [58] #industry40,#healthcare [54] #healthtech,#mhealth [52] #ai,#iot [52] #ai,#healthtech Top Word Pairs in Tweet in G5:
[4] mobile,health [4] ðµð,ðµð [3] learn,more [3] sleep,apnea [3] mhealth,technology [3] ziekenhuizen,door [3] door,mhealth [3] betere,dienstverlening [3] dienstverlening,ziekenhuizen [2] treatment,progress Top Word Pairs in Tweet in G6:
[14] latest,mhealth [14] mhealth,daily [14] daily,thanks [5] mhealth,interventions [5] #healthcare,#digitalhealth [3] feasibility,usefulness [3] interventions,psychological [3] study,perceived [3] phase,conducted [3] perceived,feasibility Top Word Pairs in Tweet in G7:
[66] consalud_es,sbr [66] #mhealth,gracias [66] gracias,leer [66] sbr,#mhealth [66] xa,consalud_es [57] consecuencias,co [57] estragos,consecuencias [29] dralfonsovidal,estragos [28] co,ru41o13n6f [28] ru41o13n6f,xa Top Word Pairs in Tweet in G8:
[23] living,australia [23] disease,patients [23] australia,tell [23] working,chronic [23] participate,nurse [23] last,chance [23] chronic,disease [23] patients,living [23] chance,participate [23] nurse,working Top Word Pairs in Tweet in G9:
[10] jmirpub,jmir [8] jmir,mhealth [8] #smartphone,#mhealth [6] mhealth,app [6] #mhealth,#app [6] #physicalactivity,interventions [5] based,intervention [4] management,patients [4] effects,non [4] coaching,using Top Word Pairs in Tweet in G10:
[17] salud,digital [16] 17h,live [16] tendencias,salud [16] #ehealthbeats,anoizet [13] live,youtube [12] últimas,tendencias [12] sesión,#ehealthbeats [12] anoizet,últimas [12] nueva,sesión [11] 15,diciembre 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: