The graph represents a network of 2,351 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, 31 May 2021 at 01:46 UTC.
The requested start date was Monday, 31 May 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 12-day, 2-hour, 42-minute period from Tuesday, 18 May 2021 at 09:29 UTC to Sunday, 30 May 2021 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 : 2351
Unique Edges : 2401
Edges With Duplicates : 12031
Total Edges : 14432
Number of Edge Types : 5
Retweet : 4669
MentionsInRetweet : 6367
Replies to : 152
Mentions : 1838
Tweet : 1406
Self-Loops : 1608
Reciprocated Vertex Pair Ratio : 0.052669726987195
Reciprocated Edge Ratio : 0.100068854716548
Connected Components : 188
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 1852
Maximum Edges in a Connected Component : 13072
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.874965
Graph Density : 0.000788618695530195
Modularity : 0.260844
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,351 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, 31 May 2021 at 01:46 UTC.
The requested start date was Monday, 31 May 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 12-day, 2-hour, 42-minute period from Tuesday, 18 May 2021 at 09:29 UTC to Sunday, 30 May 2021 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:
[933] #digitalhealth,#socialmedia [609] #rstats,#reactjs [521] #reactjs,#iot [514] #iot,#iiot [470] #socialmedia,#digitalmarketing [466] #ai,#python [466] #python,#rstats [327] #digitalhealth,#mhealth [327] #machinelearning,#ai [323] gt,gt Top Word Pairs in Tweet in G1:
[90] #digitalhealth,#socialmedia [68] #digitalhealth,#mhealth [55] gt,gt [46] covid,19 [33] #mhealth,#digitalhealth [30] #ehealth,#mhealth [29] #mhealth,#hcsm [27] #socialmedia,#digitalmarketing [26] digital,health [22] mental,health Top Word Pairs in Tweet in G2:
[173] enricomolinari,#ehealth [146] gigadgets_,enricomolinari [138] wef,enricomolinari [90] 50x,better [90] better,protection [90] protection,air [90] air,filtration [90] filtration,masks [90] masks,n95 [90] n95,gigadgets_ Top Word Pairs in Tweet in G3:
[585] #rstats,#reactjs [498] #reactjs,#iot [471] #iot,#iiot [444] #ai,#python [444] #python,#rstats [315] #machinelearning,#ai [265] #analytics,#bigdata [253] #bigdata,#ai [233] #iiot,#ml [231] #mhealth,#medtech Top Word Pairs in Tweet in G4:
[714] #digitalhealth,#socialmedia [399] #socialmedia,#digitalmarketing [231] #mhealth,#healthtech [227] gt,gt [207] #digitalhealth,#mhealth [86] covid,19 [79] #digitalmarketing,#iot [78] #iot,#mhealth [78] #digitalmarketing,#mhealth [73] #mhealth,#ai Top Word Pairs in Tweet in G5:
[9] #digitalhealth,#mhealth [9] mental,health [8] #mhealth,#ehealth [8] #mhealth,#healthtech [8] #healthtech,#healthcareux [7] mhealth,technology [6] mobile,health [6] medtech,breakthrough [6] best,overall [6] overall,mhealth Top Word Pairs in Tweet in G6:
[84] #healthit,#healthtech [73] #healthtech,#digitalhealth [69] #medtech,#mhealth [66] #digitalhealth,#medtech [47] #pinetime,smartwatch [47] smartwatch,thepine64 [47] thepine64,run [47] run,#mygnuhealth [47] #mygnuhealth,kdecommunity [47] kdecommunity,plasma Top Word Pairs in Tweet in G7:
[12] top,mhealth [12] mhealth,mobile [12] mobile,health [12] health,companies [12] 2021,featuring [3] leapdroidmedia,top [2] companies,toronto [2] toronto,2021 [2] featuring,figure1 [2] companies,missouri Top Word Pairs in Tweet in G8:
[12] latest,mhealth [12] mhealth,daily [12] daily,thanks [10] #digitalhealth,#mhealth [7] #healthtech,#healthcare [6] #mhealth,#telehealth [6] #telehealth,#healthtech [6] #healthcare,#mobile [6] #mobile,#startups [6] #startups,#ehealth Top Word Pairs in Tweet in G9:
[20] aircadets,comdtac [20] rafac_mhealth,rafac_mhwr [19] comdtac,aircadet101 [19] wso5_semidlands,aircadets [18] aircadet101,rafac_mhealth [18] clairesarsfield,sgtrafac_trg [16] rafac_mhwr,clairesarsfield [15] chat,sessions [15] sgtrafac_trg,cwobenturnbull [14] cwobenturnbull,scottcooper21 Top Word Pairs in Tweet in G10:
[30] jmir,mhealth [13] jmirpub,jmir [7] functional,movement [7] randomized,controlled [7] controlled,trial [7] mhealth,developing [7] developing,messaging [7] messaging,content [7] content,#physicalactivity [7] #physicalactivity,smartphone Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: