The graph represents a network of 2,794 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, 25 May 2020 at 02:53 UTC.
The requested start date was Monday, 25 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, 15-hour, 6-minute period from Tuesday, 12 May 2020 at 19:30 UTC to Sunday, 24 May 2020 at 10:36 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 : 2794
Unique Edges : 2420
Edges With Duplicates : 8554
Total Edges : 10974
Number of Edge Types : 5
Retweet : 3492
MentionsInRetweet : 5019
Tweet : 1073
Replies to : 80
Mentions : 1310
Self-Loops : 1143
Reciprocated Vertex Pair Ratio : 0.0454545454545455
Reciprocated Edge Ratio : 0.0869565217391304
Connected Components : 194
Single-Vertex Connected Components : 90
Maximum Vertices in a Connected Component : 2288
Maximum Edges in a Connected Component : 10222
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.770088
Graph Density : 0.000586521011599456
Modularity : 0.352509
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,794 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, 25 May 2020 at 02:53 UTC.
The requested start date was Monday, 25 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, 15-hour, 6-minute period from Tuesday, 12 May 2020 at 19:30 UTC to Sunday, 24 May 2020 at 10:36 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 G2:
[310] gt,gt [171] gt,#digitalhealth [98] #digitalhealth,#socialmedia [98] #socialmedia,#digitalmarketing [82] covid,19 [82] #mhealth,#hcsm [82] #mhealth,#ai [82] #digitalhealth,#mhealth [82] #mhealth,#healthtech [68] account,dedicated Top Word Pairs in Tweet in G3:
[931] jmir,mhealth [292] jmirpub,jmir [223] mhealth,efficacy [196] #mobile,#app [90] efficacy,#digital [86] #digital,therapeutic [82] therapeutic,#mobile [69] #app,biobase [64] biobase,reduce [60] reduce,stress Top Word Pairs in Tweet in G4:
[297] gt,gt [280] #mhealth,#healthtech [268] covid,19 [267] #digitalhealth,#mhealth [263] #healthtech,#digitalhealth [263] #mhealth,#hcsm [263] read,more [263] learn,more [263] gt,#digitalhealth [263] #ehealth,#mhealth Top Word Pairs in Tweet in G5:
[141] pandemic,reveals [73] reveals,need [64] need,better [52] better,telemedicine [30] telemedicine,#telemedicine [30] #telemedicine,networkworld [30] networkworld,zkerravala [29] covid,19 [29] zkerravala,#he [25] evankirstel,pandemic Top Word Pairs in Tweet in G6:
[46] virtual,conference [46] advances,future [46] future,directions [46] directions,#mhealth [46] 14,15 [46] very,proud [46] proud,cancercaremascc [34] cancercaremascc,team [31] team,work [27] work,advances Top Word Pairs in Tweet in G7:
[27] mhealth,apps [21] mhealth,market [21] market,size [21] covid,19 [20] global,mhealth [19] size,expected [19] expected,reach [19] reach,206 [19] 206,billion [19] billion,2026 Top Word Pairs in Tweet in G8:
[10] xa,consalud_es [9] consalud_es,sbr [8] sbr,#mhealth [8] disciplina,ante [7] ante,pandemia [7] pandemia,xa [7] #mhealth,gracias [7] dralfonsovidal,disciplina [7] palmas,palmitas [7] palmitas,xa Top Word Pairs in Tweet in G9:
[100] machine,learning [100] learning,ai [100] ai,healthcare [71] healthcare,intelligent [71] intelligent,choice [71] choice,#ml [71] #ml,#healthtech [58] #healthtech,journal_mhealth [29] healthcare,rise [29] rise,mhealth Top Word Pairs in Tweet in G10:
[17] #ai,#iot [8] applications,#machinelearning [8] #machinelearning,#healthtech [8] #healthtech,rise [8] rise,#mhealth [8] #mhealth,#bigdata [8] #bigdata,#analytics [8] #analytics,#datascience [8] #datascience,#ai [8] #iot,#iiot 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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