The graph represents a network of 1,752 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, 29 November 2021 at 02:46 UTC.
The requested start date was Monday, 29 November 2021 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, 7-minute period from Monday, 15 November 2021 at 02:36 UTC to Sunday, 28 November 2021 at 11:43 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 : 1752
Unique Edges : 1563
Edges With Duplicates : 7471
Total Edges : 9034
Number of Edge Types : 5
Retweet : 2784
MentionsInRetweet : 3799
Mentions : 1320
Tweet : 1072
Replies to : 59
Self-Loops : 1152
Reciprocated Vertex Pair Ratio : 0.0518382352941177
Reciprocated Edge Ratio : 0.0985669346382384
Connected Components : 167
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 1315
Maximum Edges in a Connected Component : 8261
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.983876
Graph Density : 0.0009326047216333
Modularity : 0.2765
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,752 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, 29 November 2021 at 02:46 UTC.
The requested start date was Monday, 29 November 2021 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, 7-minute period from Monday, 15 November 2021 at 02:36 UTC to Sunday, 28 November 2021 at 11:43 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:
[792] #digitalhealth,#socialmedia [398] #socialmedia,#digitalmarketing [221] gt,gt [124] #iot,#iiot [106] #digitalhealth,#healthit [102] #ehealth,#mhealth [98] based,care [96] team,based [94] sbr,#mhealth [94] #mhealth,gracias Top Word Pairs in Tweet in G1:
[87] #mhealth,#hcsm [78] #hcsm,#hcsmeu [75] #digitalhealth,#socialmedia [44] gt,gt [31] gym,tuttrainer [31] '#mhealth,industry [30] #smallcap,60 [30] industry,perspective' [29] digital,health [26] mobile,health Top Word Pairs in Tweet in G2:
[112] #iot,#iiot [93] team,based [93] based,care [79] #machinelearning,#ai [76] #digitalhealth,#socialmedia [71] #ai,#ml [67] #100daysofcode,#python [65] #iiot,#ml [62] #ai,#python [62] #python,#rstats Top Word Pairs in Tweet in G3:
[17] skills,need [15] roylilley,meets [15] meets,lisaemnhs [15] ihm_tweets,ics [15] ics,#digitalhealth [15] #digitalhealth,roundtable [13] need,roylilley [12] roundtable,skills [10] lisaemnhs,cio [9] digital,health Top Word Pairs in Tweet in G4:
[461] #digitalhealth,#socialmedia [304] #socialmedia,#digitalmarketing [140] gt,gt [67] #ai,#iot [63] #digitalmarketing,#ai [62] #healthtech,#iot [59] #healthtech,#ai [59] #digitalmarketing,#healthtech [57] #iot,#industry40 [56] #mhealth,#healthtech Top Word Pairs in Tweet in G5:
[13] журнал,mhealth [13] mhealth,мужской [13] мужской,журнал [13] журнал,men's [13] men's,health [6] billion,2025 [5] mhealth,market [5] mobile,health [4] industry,trends [4] trends,share Top Word Pairs in Tweet in G6:
[28] jmir,mhealth [26] jmirpub,jmir [15] peer,review [11] physical,activity [10] ecological,momentary [9] text,messaging [9] jmirpub,peer [8] #smartphone,#mhealth [7] automated,text [7] location,data Top Word Pairs in Tweet in G7:
[36] ecological,momentary [21] #ehealth,#mhealth [18] paper,smartphone [18] smartphone,delivered [18] delivered,ecological [18] momentary,interventions [18] interventions,based [18] based,ecological [18] momentary,assessments [17] lilianalaranjo,paper Top Word Pairs in Tweet in G8:
[93] sbr,#mhealth [93] #mhealth,gracias [93] gracias,leer [88] cambiazo,climático [88] climático,co [70] co,xmbkp4kvrg [70] xmbkp4kvrg,xa [59] dralfonsovidal,cambiazo [55] xa,consalud_es [55] consalud_es,sbr Top Word Pairs in Tweet in G9:
[26] #mhealth,#digitalhealth [22] #mhealth,#patientpayments [17] #mhealth,#patientcollections [14] digital,health [14] #mhealth,#healthcare [14] #mhealth,#patientengagement [14] #patientpayments,#mhealth [13] #healthcare,#healthtech [12] #mhealth,#patientexperience [12] link,#mhealth Top Word Pairs in Tweet in G10:
[82] #digitalhealth,#healthit [56] #hospitals,#clinics [53] #medtech,#mhealth [49] #healthit,#healthtech [43] #healthtech,#medtech [38] #healthcare,#hospitals [37] hubbucket,hubdevops [37] hubdevops,hubdataops [34] #clinics,#digitalhealth [26] #healthcare,#lifesciences Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: