The graph represents a network of 1,796 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, 16 August 2021 at 01:45 UTC.
The requested start date was Monday, 16 August 2021 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 11-day, 12-hour, 0-minute period from Monday, 02 August 2021 at 00:04 UTC to Friday, 13 August 2021 at 12:05 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 : 1796
Unique Edges : 1699
Edges With Duplicates : 9557
Total Edges : 11256
Number of Edge Types : 5
Retweet : 3787
MentionsInRetweet : 4906
Tweet : 1114
Mentions : 1382
Replies to : 67
Self-Loops : 1193
Reciprocated Vertex Pair Ratio : 0.0464820120980579
Reciprocated Edge Ratio : 0.0888348037724369
Connected Components : 159
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1394
Maximum Edges in a Connected Component : 10533
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.71714
Graph Density : 0.00101959786836734
Modularity : 0.241487
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,796 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, 16 August 2021 at 01:45 UTC.
The requested start date was Monday, 16 August 2021 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 11-day, 12-hour, 0-minute period from Monday, 02 August 2021 at 00:04 UTC to Friday, 13 August 2021 at 12:05 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:
[941] #digitalhealth,#socialmedia [388] #socialmedia,#digitalmarketing [310] #iot,#ai [309] #ai,#ml [284] #rstats,#reactjs [268] #bigdata,#analytics [247] gt,gt [236] #analytics,#iiot [236] #iiot,#iot [210] #ehealth,#mhealth Top Word Pairs in Tweet in G1:
[113] #digitalhealth,#socialmedia [50] #ehealth,#mhealth [47] gt,gt [39] #mhealth,#hcsm [37] digital,health [31] #hcsm,#hcsmeu [28] #mhealth,#healthcare [27] health,app [25] #socialmedia,#digitalmarketing [22] covid,19 Top Word Pairs in Tweet in G2:
[88] #ai,#ml [77] #ehealth,#mhealth [73] artificial,intelligence [67] #healthtech,#healthcare [64] #healthcare,#healthit [58] detect,#dementia [58] #dementia,soon [58] soon,#healthtech [58] #healthit,#ai [58] #ml,#artificialintelligence Top Word Pairs in Tweet in G3:
[695] #digitalhealth,#socialmedia [341] #socialmedia,#digitalmarketing [262] #iot,#ai [240] #rstats,#reactjs [220] #bigdata,#analytics [203] #ai,#ml [193] #analytics,#iiot [193] #iiot,#iot [172] #reactjs,#iot [159] #ai,#python Top Word Pairs in Tweet in G4:
[96] #clinicaltrials,#teckrotheanswer [95] #mhealth,#medtech [95] #medtech,#meded [91] #meded,#pharma [83] #ai,#biotech [81] #pharma,#ai [79] #teckrotheanswer,#clinicaltrial [74] #protocol,#mhealth [63] #trials,#protocol [60] clinical,trials Top Word Pairs in Tweet in G5:
[12] dtx,rise [12] rise,digital [12] digital,therapeutics [11] check,latest [10] latest,issue [10] issue,journal_mhealth [10] journal_mhealth,dtx [10] therapeutics,co [10] co,evnwup0c9l [9] #digitalhealth,technologies Top Word Pairs in Tweet in G6:
[13] mhealth,apps [12] #health,#mhealth [7] covid,19 [7] learn,more [6] mobile,health [6] use,mhealth [6] health,mhealth [6] #digitalhealth,#mhealth [6] #mhealth,#healthtech [6] #healthtech,#healthcareux Top Word Pairs in Tweet in G7:
[13] jmir,mhealth [13] jmirpub,jmir [10] mhealth,apps [10] apps,package [10] package,suspicious [10] suspicious,code [10] code,eg [10] eg,trojans [10] trojans,45 [10] 45,rely Top Word Pairs in Tweet in G8:
[12] paradigm,shift [12] shift,patients [12] patients,cieds [12] cieds,first [12] first,step [12] step,exciting [12] exciting,drsuneet [12] drsuneet,leftbundle [12] leftbundle,cleclinicmd [11] khaldountarakji,paradigm Top Word Pairs in Tweet in G9:
[12] ãƒ,ム[11] latest,mhealth [11] mhealth,daily [11] daily,thanks [2] mental,health [2] report,#mhealth [2] mhealth,apps [2] #digitalhealth,#healthtech [2] #healthcare,#ai [2] isoãƒ,ムTop Word Pairs in Tweet in G10:
[8] medicinenews_b,arwypmedical [6] rwandaglobal,medicinenews_b [6] ur_cmhs,med_fem [6] shrinershosp,cedarssinai [6] cedarssinai,mcazofficial [6] mcazofficial,hopkinsmedicine [6] hopkinsmedicine,whenrymathew [5] ml,tensorflow [5] tensorflow,python [5] healthcare,mhealth Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: