The graph represents a network of 2,607 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 Tuesday, 17 September 2019 at 08:31 UTC.
The requested start date was Monday, 16 September 2019 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 7-day, 17-hour, 47-minute period from Sunday, 08 September 2019 at 05:47 UTC to Sunday, 15 September 2019 at 23:35 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 : 2607
Unique Edges : 5628
Edges With Duplicates : 3095
Total Edges : 8723
Number of Edge Types : 3
Mentions : 7363
Tweet : 1289
Replies to : 71
Self-Loops : 1289
Reciprocated Vertex Pair Ratio : 0.02390507764788
Reciprocated Edge Ratio : 0.0466939331970007
Connected Components : 189
Single-Vertex Connected Components : 106
Maximum Vertices in a Connected Component : 2212
Maximum Edges in a Connected Component : 8275
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.704306
Graph Density : 0.000863723354178681
Modularity : 0.564867
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1029] gt,gt [411] deep,sadness [411] sadness,battling [411] battling,exploring [411] exploring,fight [411] fight,dbcxptures [411] dbcxptures,joined [411] joined,ebinehita_ [410] 1xtra,deep [410] ebinehita_,nerdabout Top Word Pairs in Tweet in G1:
[1026] gt,gt [349] #health,#nutrition [336] #nutrition,#life [321] #life,#hcsm [291] #hcsm,#healthy [257] gt,#digitalhealth [249] #healthy,#digitalhealth [219] #digitalhealth,#4patients [198] #4patients,#foamed [197] #meded,#healthtalk Top Word Pairs in Tweet in G2:
[410] deep,sadness [410] sadness,battling [410] battling,exploring [410] exploring,fight [410] fight,dbcxptures [410] dbcxptures,joined [410] joined,ebinehita_ [409] 1xtra,deep [409] ebinehita_,nerdabout Top Word Pairs in Tweet in G3:
[68] tiny,car [68] car,elbeemobility [68] elbeemobility,#wheelchairs [68] #wheelchairs,users [68] users,easy [68] easy,access [68] access,front [68] front,pushing [68] pushing,button [58] button,ty Top Word Pairs in Tweet in G4:
[170] three,reasons [170] reasons,want [170] want,new [170] new,fitbit [170] fitbit,#fitbitversa2 [170] #fitbitversa2,latest [170] latest,usatodaytech [170] usatodaytech,column [170] column,usatoday [170] usatoday,#wearable Top Word Pairs in Tweet in G5:
[15] mhealth,apps [8] #digitalhealth,#mhealth [7] mobile,health [7] health,mhealth [7] health,app [7] latest,iot [7] iot,now [7] now,magazine [7] magazine,out [7] out,smart Top Word Pairs in Tweet in G6:
[114] sbr,#mhealth [114] #mhealth,hoy [114] gracias,x [110] españa,vaciada [109] vaciada,xa [109] xa,consalud_es [109] consalud_es,sbr [79] dralfonsovidal,españa [79] x,https [69] hoy,#felizdomingo Top Word Pairs in Tweet in G7:
[13] orcha,approved [13] approved,badge [11] great,see [11] healthcare,apps [10] #digitalhealth,#mhealth [8] jacobchristine,helsana [8] helsana,frankkumli [8] frankkumli,codourey [8] codourey,baselareaswiss [8] baselareaswiss,women_digital_h Top Word Pairs in Tweet in G8:
[6] happy,present [6] present,pep4lep [6] pep4lep,research [6] research,poster [6] poster,implement [6] implement,#pep [6] #pep,3 [6] 3,african [6] african,countries [6] countries,fight Top Word Pairs in Tweet in G9:
[19] rawegd,nihi_nz [17] heart,rate [16] e,seminar [14] even,2019 [14] 2019,nothing [14] nothing,beats [14] beats,text [14] text,message [14] message,mhealth [14] mhealth,rawegd Top Word Pairs in Tweet in G10:
[15] #ehealth,#mhealth [13] call,papers [13] papers,#digitalhealth [13] #digitalhealth,plosone [13] plosone,#ehealth [13] #mhealth,#uhealth [13] #uhealth,#datascience [13] #datascience,#dataethics [12] eehrn,call [12] #dataethics,https Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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:
Top Mentioned in G8:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: