The graph represents a network of 1,597 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, 28 March 2022 at 01:45 UTC.
The requested start date was Monday, 28 March 2022 at 00:01 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, 11-hour, 44-minute period from Monday, 14 March 2022 at 00:15 UTC to Sunday, 27 March 2022 at 11:59 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 : 1597
Unique Edges : 1451
Edges With Duplicates : 6806
Total Edges : 8257
Number of Edge Types : 5
MentionsInRetweet : 3654
Mentions : 833
Retweet : 2730
Tweet : 989
Replies to : 51
Self-Loops : 1030
Reciprocated Vertex Pair Ratio : 0.042570281124498
Reciprocated Edge Ratio : 0.0816640986132511
Connected Components : 153
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1152
Maximum Edges in a Connected Component : 7509
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.93882
Graph Density : 0.00101851372325617
Modularity : 0.268511
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,597 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, 28 March 2022 at 01:45 UTC.
The requested start date was Monday, 28 March 2022 at 00:01 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, 11-hour, 44-minute period from Monday, 14 March 2022 at 00:15 UTC to Sunday, 27 March 2022 at 11:59 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:
[896] #digitalhealth,#socialmedia [395] #socialmedia,#digitalmarketing [246] #ai,#python [235] #analytics,#machinelearning [235] #machinelearning,#ai [216] #python,#rstats [215] #rstats,#reactjs [213] #reactjs,#iot [172] #iot,#iiot [172] gt,gt Top Word Pairs in Tweet in G1:
[55] #digitalhealth,#socialmedia [31] #mhealth,#digitalhealth [26] #mhealth,#medtech [23] #medtech,#meded [23] #ai,#biotech [22] article,today [22] today,healthtechworld [22] healthtechworld,#digitalbiomarkers [22] #digitalbiomarkers,perfect [22] perfect,fit Top Word Pairs in Tweet in G2:
[102] #digitalhealth,#socialmedia [30] gt,gt [28] digital,health [28] #mhealth,#hcsm [23] #socialmedia,#digitalmarketing [21] #hcsm,#hcsmeu [18] #digitalhealth,#mhealth [18] #mhealth,#healthcare [17] covid,19 [16] #healthcare,#healthapps Top Word Pairs in Tweet in G3:
[219] #ai,#python [208] #analytics,#machinelearning [208] #machinelearning,#ai [190] #python,#rstats [189] #rstats,#reactjs [189] #reactjs,#iot [150] #iot,#iiot [65] #iiot,#ml [56] #digitalhealth,#socialmedia [44] #iiot,#serverless Top Word Pairs in Tweet in G4:
[682] #digitalhealth,#socialmedia [345] #socialmedia,#digitalmarketing [122] gt,gt [74] #ai,#mhealth [73] #digitalmarketing,#ai [69] #digitalmarketing,#healthtech [66] #iot,#ai [62] #socialmedia,#digitalma [59] #healthtech,#iot [59] #ai,#iot Top Word Pairs in Tweet in G5:
[13] mhealth,intervention [12] link,#ehr [12] #ehr,#healthcare [12] #healthcare,#emr [12] #emr,#healthcareit [8] mhealth,app [8] mobile,health [8] development,mhealth [7] barriers,facilitators [7] facilitators,hiv Top Word Pairs in Tweet in G6:
[92] xa,consalud_es [92] consalud_es,sbr [92] sbr,#mhealth [92] #mhealth,gracias [92] gracias,leer [86] incertidumbres,co [58] dralfonsovidal,incertidumbres [55] co,d8ua3x0kro [55] d8ua3x0kro,xa [29] co,v2b6tbdar1 Top Word Pairs in Tweet in G7:
[18] jmir,mhealth [16] jmirpub,jmir [11] #digitalhealth,priorities [11] priorities,#palliativecare [11] #palliativecare,#research [11] #research,jmirpub [11] jmirpub,read [11] read,share [11] share,important [11] important,work Top Word Pairs in Tweet in G8:
[2] mrebejko,grupa_pfr [2] grupa_pfr,tvp_info [2] tvp_info,bartoszmarczuk [2] bartoszmarczuk,bart_pawlak [2] bart_pawlak,dorotabawolek [2] dorotabawolek,gmarynowicz [2] gmarynowicz,bgoduslawski [2] bgoduslawski,k_berenda Top Word Pairs in Tweet in G9:
[11] #digitalhealth,#healthit [11] influential,usage [11] usage,#bigdata [11] #bigdata,#artificialintelligence [11] #artificialintelligence,#healthcare [11] #healthcare,#ai [11] #ai,#insurtech [11] #insurtech,#fintech [11] #fintech,#mhealth [11] #mhealth,pierrepinna Top Word Pairs in Tweet in G10:
[10] postdoc,position [10] position,using [10] using,mhealth [10] mhealth,sleep [10] sleep,disorders [10] disorders,training [10] training,ema [10] ema,sensors [10] sensors,jitai [10] jitai,univ Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G9:
Top Tweeters in G10: