The graph represents a network of 1,594 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, 04 April 2022 at 01:44 UTC.
The requested start date was Monday, 04 April 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, 58-minute period from Monday, 21 March 2022 at 00:13 UTC to Sunday, 03 April 2022 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 : 1594
Unique Edges : 1363
Edges With Duplicates : 6833
Total Edges : 8196
Number of Edge Types : 5
Retweet : 2751
MentionsInRetweet : 3569
Tweet : 980
Mentions : 847
Replies to : 49
Self-Loops : 1032
Reciprocated Vertex Pair Ratio : 0.0611724723874257
Reciprocated Edge Ratio : 0.11529223378703
Connected Components : 166
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 1176
Maximum Edges in a Connected Component : 7486
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.86497
Graph Density : 0.000983758145147253
Modularity : 0.255304
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,594 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, 04 April 2022 at 01:44 UTC.
The requested start date was Monday, 04 April 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, 58-minute period from Monday, 21 March 2022 at 00:13 UTC to Sunday, 03 April 2022 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:
[836] #digitalhealth,#socialmedia [384] #socialmedia,#digitalmarketing [271] #rstats,#reactjs [219] gt,gt [198] #python,#rstats [193] #ai,#python [172] #analytics,#machinelearning [172] #machinelearning,#ai [152] #reactjs,#iot [124] #iot,#iiot Top Word Pairs in Tweet in G1:
[111] #digitalhealth,#socialmedia [40] gt,gt [39] #mhealth,#hcsm [27] #mhealth,#digitalhealth [26] digital,health [25] #socialmedia,#digitalmarketing [22] #hcsm,#hcsmeu [21] mobile,health [21] covid,19 [20] #digitalhealth,#mhealth Top Word Pairs in Tweet in G2:
[691] #digitalhealth,#socialmedia [353] #socialmedia,#digitalmarketing [164] gt,gt [66] #ai,#mhealth [63] #digitalmarketing,#iot [58] #digitalmarketing,#healthtech [56] #healthtech,#ai [55] #iot,#mhealth [55] #ai,#iot [54] #iot,#ai Top Word Pairs in Tweet in G3:
[19] #dhpsp,#medtwitterai [19] find,more [18] #hospitalstalktolovedones,#dhpsp [17] social,media [16] #inpst,#plantbased [16] missed,great [16] great,panel [16] panel,watch [16] watch,medscape's [16] medscape's,innovation Top Word Pairs in Tweet in G4:
[254] #rstats,#reactjs [189] #python,#rstats [183] #ai,#python [164] #analytics,#machinelearning [164] #machinelearning,#ai [146] #reactjs,#iot [112] #iot,#iiot [112] #ml,#serverless [103] #machinelearning,#python [91] #analytics,#bigdata Top Word Pairs in Tweet in G5:
[12] link,#ehr [12] #ehr,#healthcare [12] #healthcare,#emr [12] #emr,#healthcareit [9] digital,health [8] mobile,health [7] health,market [7] market,size [6] process,mining [6] analysis,report Top Word Pairs in Tweet in G6:
[33] #ehealth,#telemedicine [32] #sinedoloreworldpark2022,#menorcapainforum2022 [32] #menorcapainforum2022,#balearesenpositivo [32] #balearesenpositivo,#painmeeting [32] #painmeeting,#ehealth [32] #telemedicine,#mhealth [22] #mhealth,#healthcare [21] #digitalhealth,#socialmedia [18] #healthcare,#education [15] #education,#elearning Top Word Pairs in Tweet in G7:
[33] jmir,mhealth [25] jmirpub,jmir [15] palliative,care [12] #mhealth,#app [12] #digitalhealth,priorities [12] priorities,#palliativecare [12] #palliativecare,#research [12] #research,jmirpub [12] jmirpub,read [12] read,share Top Word Pairs in Tweet in G8:
[13] latest,mhealth [13] mhealth,daily [13] daily,thanks [8] #digitalhealth,#healthcare [3] influential,usage [3] usage,#bigdata [3] #bigdata,#artificialintelligence [3] #artificialintelligence,#healthcare [3] #healthcare,#ai [3] #ai,#insurtech Top Word Pairs in Tweet in G9:
[79] xa,consalud_es [79] consalud_es,sbr [79] sbr,#mhealth [79] #mhealth,gracias [79] gracias,leer [39] incertidumbres,co [38] desinformación,co [31] co,d8ua3x0kro [31] d8ua3x0kro,xa [25] dralfonsovidal,incertidumbres Top Word Pairs in Tweet in G10:
[51] #クラウドファンディング,#readyfor [47] #readyfor,#大阪大学 [47] #大阪大学,#メンタルヘルス [19] ひとりでも多くの方に広めてください,#クラウドファンディング [16] クラファンnextgoal挑戦中,誰もが自分に合ったメンタルヘルスアプリを安心して使うために [16] 誰もが自分に合ったメンタルヘルスアプリを安心して使うために,仕組みを整えます [16] 仕組みを整えます,ご支援ご周知のほど [16] ご支援ご周知のほど,よろしくお願いいたします [16] よろしくお願いいたします,#クラウドファンディング [15] 誰もが自分に合ったメンタルヘルスアプリを安心して使うためには,あと24日で Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: