The graph represents a network of 3,034 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, 13 April 2020 at 01:58 UTC.
The requested start date was Monday, 13 April 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 13-day, 10-hour, 23-minute period from Monday, 30 March 2020 at 00:09 UTC to Sunday, 12 April 2020 at 10:33 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 : 3034
Unique Edges : 4534
Edges With Duplicates : 2960
Total Edges : 7494
Number of Edge Types : 4
MentionsInRetweet : 4443
Mentions : 1772
Replies to : 160
Tweet : 1119
Self-Loops : 1119
Reciprocated Vertex Pair Ratio : 0.0381877022653722
Reciprocated Edge Ratio : 0.0735660847880299
Connected Components : 259
Single-Vertex Connected Components : 139
Maximum Vertices in a Connected Component : 2427
Maximum Edges in a Connected Component : 6804
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.816225
Graph Density : 0.000522922864965276
Modularity : 0.554821
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 3,034 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, 13 April 2020 at 01:58 UTC.
The requested start date was Monday, 13 April 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 13-day, 10-hour, 23-minute period from Monday, 30 March 2020 at 00:09 UTC to Sunday, 12 April 2020 at 10:33 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:
[249] #digitalhealth,#mhealth [204] covid,19 [162] #mhealth,#hcsm [160] sbr,#mhealth [156] xa,consalud_es [142] re,working [142] working,lizzo [142] lizzo,surprises [142] surprises,sending [142] sending,over Top Word Pairs in Tweet in G1:
[115] account,dedicated [115] dedicated,things [115] things,#healthtech [115] #healthtech,follow [115] follow,healthtechic [115] healthtechic,latest [115] latest,content [115] content,news [84] #digitalhealth,#mhealth [61] covid,19 Top Word Pairs in Tweet in G2:
[48] #telehealth,#mhealth [40] #mhealth,#virtualvisits [35] #digitalhealth,#healthcare [34] #virtualvisits,#patientexperience [31] #robot,learns [31] learns,touch [31] touch,ty [31] ty,evankirstel [31] evankirstel,enricomolinari [31] enricomolinari,#ml Top Word Pairs in Tweet in G3:
[85] make,sure [84] #covid19,app [83] apps,use [78] today,announcing [78] announcing,#covid19 [78] app,finder [78] finder,more [78] more,important [78] important,make [78] sure,apps Top Word Pairs in Tweet in G4:
[102] #mhealth,#hcsm [100] #digitalhealth,#mhealth [84] covid,19 [74] #hcsm,#hcsmeu [52] #mhealth,#healthtech [43] read,more [42] more,co [42] #medtech,#smarthealth [38] gt,gt [30] #smarthealth,#mhealth Top Word Pairs in Tweet in G5:
[142] re,working [142] working,lizzo [142] lizzo,surprises [142] surprises,sending [142] sending,over [142] over,lunch [142] lunch,anyone [141] mhealthfairview,moment [129] moment,youâ [129] youâ,re Top Word Pairs in Tweet in G6:
[52] #healthit,#healthtech [47] #healthtech,#medtech [46] #medtech,#mhealth [44] gt,gt [37] subsidiary,prosumersoft [32] hubbucket,inc [32] prosumersoft,llc [26] inc,subsidiary [22] gt,#digitalhealth [18] #mhealth,#medical Top Word Pairs in Tweet in G7:
[13] mhealth,apps [12] ãƒ,ム[11] covid,19 [9] market,next [9] next,big [9] big,thing [9] thing,major [9] major,giants [8] новости,и [8] и,события Top Word Pairs in Tweet in G8:
[29] jmir,mhealth [16] virtual,conference [13] very,exciting [13] exciting,see [13] see,first [13] first,paper [13] paper,group [13] group,joannacollaton [13] joannacollaton,nicole_kozloff [13] nicole_kozloff,avoineskos Top Word Pairs in Tweet in G9:
[158] sbr,#mhealth [155] xa,consalud_es [81] crisis,humanitaria [81] #mhealth,xa [78] consalud_es,hoy [77] ciencia,conciencia [77] consalud_es,sbr [74] conciencia,xa [68] gestión,crisis [68] humanitaria,sbr Top Word Pairs in Tweet in G10:
[53] during,#covid19 [35] dominik_linz,#telecheckaf [32] #telecheckaf,#mhealth [25] #mhealth,project [25] #digitalhealth,boost [25] boost,#cardiacrehab [25] #cardiacrehab,programmes [25] programmes,during [25] during,beyond [25] beyond,#covid19 Top Replied-To in Entire Graph:
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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: