The graph represents a network of 1,395 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, 17 October 2022 at 02:06 UTC.
The requested start date was Monday, 17 October 2022 at 00:01 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 11-day, 11-hour, 57-minute period from Monday, 03 October 2022 at 00:15 UTC to Friday, 14 October 2022 at 12:12 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 : 1395
Unique Edges : 1071
Edges With Duplicates : 7540
Total Edges : 8611
Number of Edge Types : 5
Retweet : 2761
MentionsInRetweet : 3802
Tweet : 930
Mentions : 1016
Replies to : 102
Self-Loops : 1053
Reciprocated Vertex Pair Ratio : 0.0486947791164659
Reciprocated Edge Ratio : 0.0928674006701771
Connected Components : 165
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 835
Maximum Edges in a Connected Component : 7560
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.752449
Graph Density : 0.00107424034392147
Modularity : 0.209558
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 1,395 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, 17 October 2022 at 02:06 UTC.
The requested start date was Monday, 17 October 2022 at 00:01 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 11-day, 11-hour, 57-minute period from Monday, 03 October 2022 at 00:15 UTC to Friday, 14 October 2022 at 12:12 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:
[691] #digitalhealth,#socialmedia [317] gt,gt [312] #socialmedia,#digitalmarketing [262] #ehealth,#mhealth [188] #digitalhealth,#wearables [188] #telehealth,#telemedicine [175] #ai,#iot [161] #wearables,series [148] series,wearablesexpert [148] wearablesexpert,talks Top Word Pairs in Tweet in G1:
[137] #analytics,#bigdata [128] #bigdata,#ai [125] #ai,#iot [122] #digitalhealth,#socialmedia [113] #machinelearning,#serverless [113] #iot,#machinelearning [92] gt,gt [67] healthcare,#analytics [66] #ehealth,#mhealth [64] #iot,#iiot Top Word Pairs in Tweet in G2:
[75] #telehealth,#telemedicine [70] #digitalhealth,#socialmedia [61] #telemedicine,#healthcare [60] #mhealth,#hcsm [53] #hcsm,#hcsmeu [52] gt,gt [47] #covid19,#usa [47] #mhealth,#covid19 [47] #usa,#selfcare [47] #therapy,#primarycare Top Word Pairs in Tweet in G3:
[485] #digitalhealth,#socialmedia [259] #socialmedia,#digitalmarketing [166] gt,gt [50] #mhealth,#ai [47] gt,#digitalhealth [45] #socialmedia,#digitalmar [45] #ai,#iot [42] #industry40,#healthtech [42] #iot,#healthtech [42] #ai,#healthtech Top Word Pairs in Tweet in G4:
[134] #ehealth,#mhealth [109] #digitalhealth,#wearables [94] #wearables,series [92] #telehealth,#telemedicine [85] series,wearablesexpert [80] #mhealth,#ehealth [79] wearablesexpert,talks [67] #mhealth,#telehealth [55] #ehealth,#digitalhealth [45] #digitalhealth,#ehealth Top Word Pairs in Tweet in G5:
[12] mental,health [10] mhealth,apps [9] mobile,health [7] elon,musk [7] mhealth,market [7] musk,combining [6] health,mhealth [5] apps,market [5] ðµð,ðµð [4] ðµñ,ðµð Top Word Pairs in Tweet in G6:
[24] mental,health [21] supporting,youngmindsuk's [21] #helloyellow,campaign [21] youngmindsuk's,#helloyellow [21] #worldmentalhealthday,once [20] again,supporting [20] take,part [20] once,again [20] tomorrow,#worldmentalhealthday [20] campaign,take Top Word Pairs in Tweet in G7:
[17] symptom,severity [17] daily,life [16] depression,symptom [16] between,depression [16] life,gait [16] associations,between [16] gait,characteristics [16] characteristics,derived [16] severity,daily [15] jmir,mhealth Top Word Pairs in Tweet in G8:
[44] mhealth,app [42] woman,disability [37] benefit,persons [37] app,benefit [28] regards,ilanna [28] connect,regards [25] disability,developing [24] ilanna,mandel [24] inclusive,healthcare [23] persons,disabilities Top Word Pairs in Tweet in G9:
[26] rm196m,spent [26] good,institution [26] spent,building [26] went,msj [26] building,good [26] learning,malaysia [26] instead,went [26] higher,learning [26] malaysia,instead [26] institution,higher Top Word Pairs in Tweet in G10:
[41] gracias,leer [41] sbr,#mhealth [41] consalud_es,sbr [41] #mhealth,gracias [41] xa,consalud_es [32] escalofrío,co [26] co,rcijsjiupk [22] rcijsjiupk,xa [18] dralfonsovidal,escalofrío [12] co,rcijsj0lbc Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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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:
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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: