The graph represents a network of 1,518 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, 02 May 2022 at 02:06 UTC.
The requested start date was Monday, 02 May 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, 38-minute period from Monday, 18 April 2022 at 00:26 UTC to Sunday, 01 May 2022 at 12:04 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 : 1518
Unique Edges : 1330
Edges With Duplicates : 6960
Total Edges : 8290
Number of Edge Types : 5
Retweet : 2747
MentionsInRetweet : 3588
Tweet : 1065
Mentions : 841
Replies to : 49
Self-Loops : 1118
Reciprocated Vertex Pair Ratio : 0.0447048611111111
Reciprocated Edge Ratio : 0.0855837141670129
Connected Components : 148
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1118
Maximum Edges in a Connected Component : 7576
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.665157
Graph Density : 0.00104524653835364
Modularity : 0.25251
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,518 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, 02 May 2022 at 02:06 UTC.
The requested start date was Monday, 02 May 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, 38-minute period from Monday, 18 April 2022 at 00:26 UTC to Sunday, 01 May 2022 at 12:04 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:
[701] #digitalhealth,#socialmedia [305] #socialmedia,#digitalmarketing [268] gt,gt [146] digital,health [124] #mhealth,#digitalhealth [105] #ai,#iot [104] sbr,#mhealth [104] #mhealth,gracias [104] gracias,leer [90] #ehealth,#mhealth Top Word Pairs in Tweet in G1:
[95] #digitalhealth,#socialmedia [68] #mhealth,#hcsm [62] #hcsm,#hcsmeu [36] digital,health [32] gt,gt [27] #socialmedia,#digitalmarketing [22] #mhealth,#digitalhealth [19] learn,more [18] covid,19 [17] #digitalhealth,#mhealth Top Word Pairs in Tweet in G2:
[136] #digitalhealth,#socialmedia [90] #mhealth,#digitalhealth [80] gt,gt [56] digital,health [42] wearablesexpert,talks [41] #ehealth,#mhealth [38] #digitalhealth,#mhealth [34] #socialmedia,#digitalmarketing [32] latest,mhealth [32] mhealth,daily Top Word Pairs in Tweet in G3:
[78] three,musketeers [78] musketeers,make [78] make,safe [78] safe,pandemic [78] pandemic,#machinelearning [78] #machinelearning,#digitalhealth [74] #digitalhealth,#bigdata [74] #bigdata,#healthtech [74] #healthtech,#datascientist [73] #analytics,#machinelearning Top Word Pairs in Tweet in G4:
[11] link,#ehr [11] #ehr,#healthcare [11] #healthcare,#emr [11] #emr,#healthcareit [8] covid,19 [8] mhealth,market [5] mental,health [5] read,more [5] global,mhealth [4] mobile,health Top Word Pairs in Tweet in G5:
[102] sbr,#mhealth [102] #mhealth,gracias [102] gracias,leer [55] recomendación,obligación [55] obligación,co [55] xa,#consalud [55] #consalud,sbr [47] comisionistas,co [47] xa,consalud_es [47] consalud_es,sbr Top Word Pairs in Tweet in G6:
[459] #digitalhealth,#socialmedia [242] #socialmedia,#digitalmarketing [156] gt,gt [56] #ai,#iot [50] #digitalmarketing,#iot [50] #iot,#mhealth [49] #digitalmarketing,#ai [48] gt,#digitalhealth [47] #healthtech,#mhealth [46] #healthtech,#ai Top Word Pairs in Tweet in G7:
[48] jmirpub,jmir [30] self,management [27] jmir,mhealth [27] jmir,formative [27] formative,res [25] res,mhealth [25] mhealth,self [25] management,system [25] system,support [25] support,children Top Word Pairs in Tweet in G8:
[38] seeking,someone [38] someone,fill [38] fill,position [38] position,clinical [38] clinical,ra [38] ra,neuropsychology [38] neuropsychology,program [38] program,ri [38] ri,hospital [38] hospital,providence Top Word Pairs in Tweet in G9:
[30] #nurs413,#m6 [20] mhealth,integrated [15] patient,care [6] integrate,mhealth [6] surgical,floor [5] mhealth,help [5] between,patient [4] mhealth,very [4] very,useful [4] cardiac,patients Top Word Pairs in Tweet in G10:
[16] nueva,sesión [16] sesión,#ehealthbeats [16] jordi,carrabina [14] clínicos,ingenieros [14] 27,abril [14] abril,17 [13] #ehealth,#mhealth [13] carrabina,clínicos [13] 17,30h [12] dra,muozmateu 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 G4:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G9:
Top Tweeters in G10: