The graph represents a network of 2,945 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, 18 May 2020 at 02:03 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 17-hour, 55-minute period from Tuesday, 05 May 2020 at 16:49 UTC to Sunday, 17 May 2020 at 10:45 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 : 2945
Unique Edges : 2404
Edges With Duplicates : 8625
Total Edges : 11029
Number of Edge Types : 5
Retweet : 3453
MentionsInRetweet : 4966
Mentions : 1425
Tweet : 1100
Replies to : 85
Self-Loops : 1165
Reciprocated Vertex Pair Ratio : 0.0409708305499889
Reciprocated Edge Ratio : 0.078716577540107
Connected Components : 186
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 2458
Maximum Edges in a Connected Component : 10306
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.829136
Graph Density : 0.000539210710858493
Modularity : 0.372013
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 2,945 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, 18 May 2020 at 02:03 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 11-day, 17-hour, 55-minute period from Tuesday, 05 May 2020 at 16:49 UTC to Sunday, 17 May 2020 at 10:45 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:
[760] gt,gt [451] jmir,mhealth [437] jmirpub,jmir [296] covid,19 [262] mhealth,efficacy [261] enricomolinari,#ehealth [261] #mobile,#app [258] stress,improve [257] efficacy,#digital [257] #digital,therapeutic Top Word Pairs in Tweet in G1:
[756] gt,gt [220] gt,#digitalhealth [178] covid,19 [154] #digitalhealth,#socialmedia [154] #digitalhealth,#mhealth [133] #socialmedia,#digitalmarketing [113] #mhealth,#hcsm [109] #mhealth,#healthtech [78] read,more [76] #mhealth,#digitalhealth Top Word Pairs in Tweet in G2:
[444] jmir,mhealth [429] jmirpub,jmir [260] mhealth,efficacy [259] #mobile,#app [255] efficacy,#digital [255] #digital,therapeutic [255] therapeutic,#mobile [255] #app,biobase [255] biobase,reduce [255] reduce,stress Top Word Pairs in Tweet in G3:
[236] enricomolinari,#ehealth [136] #ehealth,#mhealth [107] ty,seeker [107] seeker,enricomolinari [87] ty,wef [87] wef,enricomolinari [86] zspace,#vr [86] #vr,#ar [86] #ar,laptop [86] laptop,classroom Top Word Pairs in Tweet in G4:
[59] virtual,conference [47] min,video [47] evidence,based [46] 14,15 [45] systematic,review [44] role,evidence [44] evidence,#mhealth [44] #mhealth,non [44] non,evidence [44] based,app Top Word Pairs in Tweet in G5:
[59] #health,#healthtech [56] #healthtech,#digitalhealth [50] #digitalhealth,#healthcare [39] #healthcare,#medtech [39] #medtech,#healthit [39] #healthit,#medtwitter [39] #medtwitter,#mhealth [32] covid,19 [24] pandemic,reveals [24] reveals,need Top Word Pairs in Tweet in G6:
[135] disciplina,ante [135] ante,pandemia [135] pandemia,xa [135] xa,consalud_es [135] consalud_es,sbr [135] sbr,#mhealth [135] #mhealth,gracias [110] dralfonsovidal,disciplina Top Word Pairs in Tweet in G7:
[12] covid,19 [7] mhealth,market [6] новости,и [6] и,события [6] события,мира [6] мира,телемедицины [6] телемедицины,mhealth [6] mhealth,медицинских [6] медицинских,гаджетов [6] гаджетов,и Top Word Pairs in Tweet in G8:
[4] ylvajohansson,businesseurope [4] businesseurope,ceep_eu [4] ceep_eu,etuc_ces [4] etuc_ces,eurochambres [4] eurochambres,ecre [4] ecre,filippograndi [4] filippograndi,eusavetc [4] eusavetc,eesc_president [3] eu_social,nicolasschmiteu [3] changemakerslab,ylvajohansson Top Word Pairs in Tweet in G9:
[8] bhbm_mhealth,joint [8] joint,programme [8] programme,#cxca [8] #cxca,safer [8] safer,initiative [8] initiative,emerging [8] emerging,initiative [8] initiative,scaling [8] scaling,access [8] access,#ncds Top Word Pairs in Tweet in G10:
[18] wearable,device [16] researchers,northwestern [16] northwestern,university [16] university,shirley [16] shirley,ryan [16] ryan,abilitylab [16] abilitylab,developing [16] developing,wearable [16] device,monitor [14] healthcareldr,researchers Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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