The graph represents a network of 1,181 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, 05 December 2022 at 03:06 UTC.
The requested start date was Monday, 05 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, 9-hour, 17-minute period from Monday, 21 November 2022 at 02:43 UTC to Sunday, 04 December 2022 at 12:00 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 : 1181
Unique Edges : 870
Edges With Duplicates : 6043
Total Edges : 6913
Number of Edge Types : 5
MentionsInRetweet : 2864
Mentions : 973
Retweet : 2166
Tweet : 844
Replies to : 66
Self-Loops : 943
Reciprocated Vertex Pair Ratio : 0.0376515634971283
Reciprocated Edge Ratio : 0.0725707257072571
Connected Components : 161
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 761
Maximum Edges in a Connected Component : 6208
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.95527
Graph Density : 0.0011667790869559
Modularity : 0.213971
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,181 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, 05 December 2022 at 03:06 UTC.
The requested start date was Monday, 05 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, 9-hour, 17-minute period from Monday, 21 November 2022 at 02:43 UTC to Sunday, 04 December 2022 at 12:00 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:
[677] #digitalhealth,#socialmedia [320] #socialmedia,#digitalmarketing [221] gt,gt [205] #ehealth,#mhealth [195] #telehealth,#telemedicine [138] #digitalhealth,#wearables [138] #mhealth,#digitalhealth [134] #psychology,#mentalhealth [134] #biotech,#exercise [134] #pharma,#healthissues Top Word Pairs in Tweet in G1:
[134] #psychology,#mentalhealth [134] #biotech,#exercise [134] #pharma,#healthissues [134] #mhealth,#lupuscommunity [134] #exercise,#mhealth [134] #healthtech,#biotech [134] #wellness,#healthtech [134] #mentalhealth,#pharma [134] #healthissues,#wellness [75] #mindset,#divestudios Top Word Pairs in Tweet in G2:
[128] #ehealth,#mhealth [115] #telehealth,#telemedicine [97] #digitalhealth,#wearables [89] #wearables,series [87] series,wearablesexpert [81] #mhealth,#digitalhealth [70] #mhealth,#ehealth [58] #mhealth,#telehealth [52] #digitalhealth,#ehealth [51] #digitalhealth,#socialmedia Top Word Pairs in Tweet in G3:
[39] #machinelearning,#ai [38] #analytics,#bigdata [35] #ai,#iot [34] #bigdata,#ai [31] #analytics,#machinelearning [30] #python,#bigdata [30] #iot,#iiot [29] #ai,#python [27] #bigdata,#datascience [27] #ar,#vr Top Word Pairs in Tweet in G4:
[530] #digitalhealth,#socialmedia [275] #socialmedia,#digitalmarketing [144] gt,gt [64] #digitalmarketing,#ai [54] gt,#digitalhealth [54] #mhealth,#healthtech [51] #ai,#iot [50] #healthtech,#ai [47] #telehealth,#telemedicine [46] #industry40,#healthtech Top Word Pairs in Tweet in G5:
[9] mhealth,apps [8] mhealth,interventions [6] privacy,risks [6] addiction,treatment [6] highlights,data [6] data,privacy [6] sites,highlights [6] treatment,mhealth [6] analysis,addiction [6] mhealth,sites Top Word Pairs in Tweet in G6:
[23] effect,game [23] myheartmate,promote [23] coronary,disease [23] lifestyle,change [23] promote,lifestyle [23] disease,patients [23] mobile,app [23] game,based [23] app,myheartmate [23] based,mobile Top Word Pairs in Tweet in G7:
[69] consalud_es,sbr [69] gracias,leer [69] sbr,#mhealth [69] xa,consalud_es [67] #mhealth,gracias [65] 000,millones [65] millones,co [37] dralfonsovidal,000 [22] co,j8gahniqjy [22] j8gahniqjy,xa Top Word Pairs in Tweet in G8:
[10] peter,obi [4] teslim,balogun [3] balogun,stadium [3] anambra,state [2] apv,meant [2] everyone,please [2] children,house [2] mocked,peter [2] keep,children [2] next,president Top Word Pairs in Tweet in G9:
[20] #medtech,#mhealth [16] #healthit,#healthtech [15] #digitalhealth,#medtech [14] #digitalhealth,#healthit [13] #healthtech,#digitalhealth [12] #healthcare,#healthit [8] hubbucket,hubbuckethealth [8] hubbuckethealth,hubbucketclouds [8] #healthit,#medtech [8] hubbucket,inc Top Word Pairs in Tweet in G10:
[21] jmir,mhealth [18] jmirpub,jmir [7] #mobile,smoking [7] cessation,program [7] published,jmirpub [7] comprehensive,#mobile [7] smoking,cessation [7] program,nicotine [7] jmirpub,reporting [7] team,latest Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: