The graph represents a network of 2,609 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, 01 June 2020 at 02:52 UTC.
The requested start date was Monday, 01 June 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 12-day, 4-hour, 1-minute period from Tuesday, 19 May 2020 at 06:41 UTC to Sunday, 31 May 2020 at 10:42 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 : 2609
Unique Edges : 2344
Edges With Duplicates : 8566
Total Edges : 10910
Number of Edge Types : 5
Replies to : 68
Mentions : 1370
MentionsInRetweet : 4881
Retweet : 3438
Tweet : 1153
Self-Loops : 1250
Reciprocated Vertex Pair Ratio : 0.0416260954235638
Reciprocated Edge Ratio : 0.0799252161720028
Connected Components : 194
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 1987
Maximum Edges in a Connected Component : 9881
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.57006
Graph Density : 0.000628869627786779
Modularity : 0.333674
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,609 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, 01 June 2020 at 02:52 UTC.
The requested start date was Monday, 01 June 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 12-day, 4-hour, 1-minute period from Tuesday, 19 May 2020 at 06:41 UTC to Sunday, 31 May 2020 at 10:42 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:
[359] gt,gt [135] covid,19 [111] #mhealth,#hcsm [103] #hcsm,#hcsmeu [103] #digitalhealth,#mhealth [94] account,dedicated [85] dedicated,things [85] things,#healthtech [85] #healthtech,follow [85] follow,healthtechic Top Word Pairs in Tweet in G3:
[147] gt,gt [71] gt,#digitalhealth [62] #digitalhealth,#socialmedia [50] #socialmedia,#digitalmarketing [38] #mhealth,#ai [36] #mhealth,#healthtech [36] covid,19 [36] #digitalhealth,#mhealth [36] account,dedicated [36] dedicated,things Top Word Pairs in Tweet in G4:
[1086] #ai,#iot [382] applications,#machinelearning [268] #machinelearning,#healthtech [203] #healthtech,rise [114] rise,#mhealth [104] #mhealth,#bigdata [98] #bigdata,#analytics [93] #analytics,#datascience [83] #datascience,#ai [83] #iot,#iiot Top Word Pairs in Tweet in G5:
[151] covid,19 [150] mhealth,apps [150] connected,health [150] telehealth,mhealth [150] billion,2026 [150] market,size [145] mhealth,market [145] apps,help [145] help,combat [143] combat,covid Top Word Pairs in Tweet in G6:
[12] short,snippet [10] snippet,game [8] game,changer [7] changer,#lateralflow [6] #lateralflow,rapid [5] rapid,#diagnostics [5] #diagnostics,instant [4] instant,lab [4] lab,quality [4] quality,data Top Word Pairs in Tweet in G7:
[35] jmir,mhealth [35] systematic,review [35] jmirpub,jmir [35] low,cost [35] mhealth,#mobile [35] door,covid [35] covid,19 [35] 19,pandemie [35] pandemie,driekwart [35] driekwart,huisartsenpraktijken Top Word Pairs in Tweet in G8:
[37] xa,consalud_es [14] consalud_es,sbr [14] sbr,#mhealth [11] palmas,palmitas [10] palmitas,xa [9] dralfonsovidal,palmas [9] #mhealth,hoy [9] hoy,#felizsabado [9] #felizsabado,gracias [9] hoy,#esclerosismultiple Top Word Pairs in Tweet in G9:
[118] paper,explores [118] explores,use [118] use,non [115] non,evidence [115] evidence,based [89] based,apps [86] apps,#depression [51] #depression,#anxiety [51] #anxiety,apps [30] apps,mostly Top Word Pairs in Tweet in G10:
[32] digital,health [32] bhbm,helps [32] people,smoke [32] smoke,more [32] more,susceptible [32] susceptible,complications [32] complications,infected [32] infected,coronavirus [32] coronavirus,bhbm [32] helps,countries 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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