The graph represents a network of 2,849 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, 30 March 2020 at 01:40 UTC.
The requested start date was Monday, 30 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 18-hour, 10-minute period from Monday, 16 March 2020 at 19:19 UTC to Sunday, 29 March 2020 at 13:30 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 : 2849
Unique Edges : 3981
Edges With Duplicates : 3362
Total Edges : 7343
Number of Edge Types : 4
MentionsInRetweet : 4473
Tweet : 1250
Mentions : 1491
Replies to : 129
Self-Loops : 1250
Reciprocated Vertex Pair Ratio : 0.0340609258815064
Reciprocated Edge Ratio : 0.065877986546045
Connected Components : 232
Single-Vertex Connected Components : 123
Maximum Vertices in a Connected Component : 2305
Maximum Edges in a Connected Component : 6654
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.624151
Graph Density : 0.000531307062205939
Modularity : 0.525472
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 2,849 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, 30 March 2020 at 01:40 UTC.
The requested start date was Monday, 30 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 18-hour, 10-minute period from Monday, 16 March 2020 at 19:19 UTC to Sunday, 29 March 2020 at 13:30 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:
[606] gt,gt [326] #digitalhealth,#mhealth [289] covid,19 [189] gt,#digitalhealth [168] #mhealth,#healthtech [142] #mhealth,#hcsm [138] #digitalhealth,#socialmedia [133] sbr,#mhealth [133] xa,consalud_es [128] #socialmedia,#digitalmarketing Top Word Pairs in Tweet in G1:
[582] gt,gt [231] #digitalhealth,#mhealth [217] covid,19 [181] gt,#digitalhealth [141] #mhealth,#hcsm [135] #mhealth,#healthtech [133] #digitalhealth,#socialmedia [125] #socialmedia,#digitalmarketing [84] read,more [77] #hcsm,#hcsmeu Top Word Pairs in Tweet in G2:
[44] #wearable,hip [44] hip,airbag [44] airbag,heliteofficial [44] heliteofficial,seniors [44] seniors,save [44] save,lives [44] lives,ty [44] ty,realtechmatters [43] enricomolinari,#wearable [43] realtechmatters,enr Top Word Pairs in Tweet in G3:
[71] #covid19,crisis [60] wash,hands [60] hands,avoid [60] avoid,big [56] help,brave [56] brave,doctors [56] doctors,nurses [56] nurses,staff [56] staff,working [56] working,front Top Word Pairs in Tweet in G4:
[80] #healthit,#healthtech [68] #healthtech,#medtech [51] #digitalhealth,#mhealth [51] #medtech,#mhealth [50] hubbucket,inc [48] subsidiary,prosumersoft [48] prosumersoft,llc [45] inc,subsidiary [39] #healthcare,#healthtech [28] #healthtech,#healthtalk Top Word Pairs in Tweet in G5:
[14] новости,и [14] и,события [14] события,мира [14] мира,телемедицины [14] телемедицины,mhealth [14] mhealth,медицинских [14] медицинских,гаджетов [14] гаджетов,и [14] и,устройств [13] mhealth,market Top Word Pairs in Tweet in G6:
[133] sbr,#mhealth [133] xa,consalud_es [97] gestión,crisis [97] crisis,humanitaria [97] humanitaria,sbr [97] #mhealth,xa [97] consalud_es,hoy [79] dralfonsovidal,gestión [44] hoy,#quedateencasa [44] #quedateencasa,súmate Top Word Pairs in Tweet in G7:
[20] self,management [13] high,quality [13] starting,see [13] see,dedicated [13] dedicated,#covid19 [13] #covid19,apps [13] apps,entering [13] entering,market [13] market,scores [13] scores,far Top Word Pairs in Tweet in G8:
[68] #startups,hello [68] hello,twitter [68] twitter,recommend [68] recommend,startups [68] startups,focused [68] focused,edtech [68] edtech,online [68] online,education [68] education,mhealth [68] mhealth,remote Top Word Pairs in Tweet in G9:
[84] good,move [84] move,twin [84] twin,cities [84] cities,habitat [84] habitat,humanity [84] humanity,looked [84] looked,warehouse [84] warehouse,donated [84] donated,75 [84] 75,hundred Top Word Pairs in Tweet in G10:
[22] jmir,mhealth [12] systematic,review [9] termómetros,conectados [9] conectados,internet [9] internet,predecían [9] predecían,gripe [9] gripe,están [9] están,rastreando [9] rastreando,#coronavirus [9] #coronavirus,usa Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: