The graph represents a network of 1,272 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, 04 July 2022 at 02:06 UTC.
The requested start date was Monday, 04 July 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, 58-minute period from Monday, 20 June 2022 at 00:13 UTC to Sunday, 03 July 2022 at 12:12 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 : 1272
Unique Edges : 1017
Edges With Duplicates : 6775
Total Edges : 7792
Number of Edge Types : 5
MentionsInRetweet : 3428
Retweet : 2516
Tweet : 949
Replies to : 50
Mentions : 849
Self-Loops : 1002
Reciprocated Vertex Pair Ratio : 0.0363171355498721
Reciprocated Edge Ratio : 0.0700888450148075
Connected Components : 126
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 978
Maximum Edges in a Connected Component : 7342
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.663948
Graph Density : 0.00125316073611132
Modularity : 0.225414
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,272 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, 04 July 2022 at 02:06 UTC.
The requested start date was Monday, 04 July 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, 58-minute period from Monday, 20 June 2022 at 00:13 UTC to Sunday, 03 July 2022 at 12:12 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:
[607] #digitalhealth,#socialmedia [315] gt,gt [312] #socialmedia,#digitalmarketing [167] #analytics,#bigdata [154] #bigdata,#ai [133] #ehealth,#mhealth [130] #iot,#iiot [126] #mhealth,#digitalhealth [116] #ai,#python [111] surgery,isometric Top Word Pairs in Tweet in G1:
[94] #digitalhealth,#socialmedia [87] #mhealth,#digitalhealth [85] wearablesexpert,talks [82] #ehealth,#mhealth [74] gt,gt [62] #mhealth,#ehealth [62] #telehealth,#telemedicine [58] #digitalhealth,#wearables [57] #digitalhealth,#mhealth [55] #wearables,series Top Word Pairs in Tweet in G2:
[83] #digitalhealth,#socialmedia [57] gt,gt [29] #mhealth,#digitalhealth [27] #ehealth,#mhealth [27] #mhealth,#hcsm [25] wearablesexpert,talks [24] #socialmedia,#digitalmarketing [22] digital,health [18] more,detail [18] detail,visit Top Word Pairs in Tweet in G3:
[151] #analytics,#bigdata [138] #bigdata,#ai [107] #iot,#iiot [104] surgery,isometric [101] #ai,#python [89] #python,#reactjs [83] #iiot,#ml [78] #machinelearning,#iot [76] #reactjs,#machinelearning [60] robotic,surgery Top Word Pairs in Tweet in G4:
[415] #digitalhealth,#socialmedia [247] #socialmedia,#digitalmarketing [174] gt,gt [58] #healthtech,#ai [53] gt,#digitalhealth [48] #digitalmarketing,#healthtech [47] #iot,#ai [46] #digitalmarketing,#iot [45] #industry40,#healthtech [45] #ai,#mhealth Top Word Pairs in Tweet in G5:
[9] mhealth,apps [6] smart,home [5] home,healthcare [5] mhealth,technologies [5] technologies,improving [5] improving,smart [4] healthcare,services [4] mhealth,intervention [4] digital,health [4] elon,musk Top Word Pairs in Tweet in G6:
[24] jmir,mhealth [15] effectiveness,conversational [15] conversational,chatbot [15] jmirpub,jmir [13] dejal,bot [10] peer,review [10] hoy,día [10] día,feliz [10] feliz,publicado [10] publicado,resultados Top Word Pairs in Tweet in G7:
[10] read,full [10] full,article [9] happen,year [9] year,nhs [9] nhs,diagnostic [9] diagnostic,modernisation [9] modernisation,read [8] article,journal_mhealth [6] giant_health,happen [5] shock,#pulmonology Top Word Pairs in Tweet in G8:
[15] queres,saber [15] saber,mais [15] mais,baixa [14] menstruação,impura [14] impura,adiar [14] adiar,ter [14] ter,relações [14] relações,sexuais [14] sexuais,não [14] não,vou Top Word Pairs in Tweet in G9:
[50] #digitalhealth,#healthit [37] #healthit,#healthtech [32] #healthtech,#medtech [29] #medtech,#mhealth [24] #healthcare,#digitalhealth [13] #artificialintelligence,#ai [11] 2022,#digitalhealth [11] improve,#healthcare [11] #healthit,#medtech [11] #machinelearning,#ml Top Word Pairs in Tweet in G10:
[59] xa,consalud_es [59] consalud_es,sbr [59] sbr,#mhealth [59] gracias,leer [53] destape,co [53] #mhealth,gracias [35] co,11owqaro07 [35] 11owqaro07,xa [25] dralfonsovidal,destape [9] co,qcia9utjtz 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 G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G4:
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Top Mentioned in G6:
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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: