The graph represents a network of 2,340 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 Wednesday, 20 November 2019 at 18:23 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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, 7-hour, 29-minute period from Monday, 11 November 2019 at 17:30 UTC to Tuesday, 19 November 2019 at 01:00 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 : 2340
Unique Edges : 3337
Edges With Duplicates : 3402
Total Edges : 6739
Number of Edge Types : 3
Mentions : 5105
Tweet : 1548
Replies to : 86
Self-Loops : 1548
Reciprocated Vertex Pair Ratio : 0.0410436822046321
Reciprocated Edge Ratio : 0.0788510278794706
Connected Components : 269
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 1724
Maximum Edges in a Connected Component : 5891
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.838889
Graph Density : 0.000648790665891991
Modularity : 0.44269
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,340 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 Wednesday, 20 November 2019 at 18:23 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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, 7-hour, 29-minute period from Monday, 11 November 2019 at 17:30 UTC to Tuesday, 19 November 2019 at 01:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1206] gt,gt [409] #health,#nutrition [394] #nutrition,#life [371] #life,#hcsm [341] gt,#digitalhealth [338] #health,#healthtech [327] #hcsm,#healthy [296] #healthtech,#digitalhealth [278] #healthy,#digitalhealth [256] #digitalhealth,#healthcare Top Word Pairs in Tweet in G1:
[118] gt,gt [108] #health,#healthtech [90] #healthtech,#digitalhealth [79] #health,#nutrition [71] #nutrition,#life [63] #digitalhealth,#healthcare [63] #life,#hcsm [48] #hcsm,#healthy [43] #healthcare,#medtech [39] #digitalhealth,#mhealth Top Word Pairs in Tweet in G2:
[1087] gt,gt [330] #health,#nutrition [323] #nutrition,#life [316] gt,#digitalhealth [308] #life,#hcsm [279] #hcsm,#healthy [252] #healthy,#digitalhealth [234] #digitalhealth,#4patients [217] #meded,#healthtalk [214] #4patients,#foamed Top Word Pairs in Tweet in G3:
[179] #health,#healthtech [164] #healthtech,#digitalhealth [154] #digitalhealth,#healthcare [83] #healthcare,#medtech [76] #medtech,#healthit [73] #healthit,#medtwitter [63] ty,wef [63] wef,enricomolinari [63] enricomolinari,#ehealth [41] #healthcare,#medte Top Word Pairs in Tweet in G4:
[135] mhealth,market [77] market,booming [77] booming,worldwide [77] worldwide,helpful [56] consumer,mhealth [56] market,still [56] still,room [56] room,grow [56] grow,emerging [56] emerging,players Top Word Pairs in Tweet in G5:
[24] new,jmir [19] jmir,mhealth [18] use,#health [17] #apps,#nurses [15] cuáles,#apps [15] #apps,más [15] más,utilizadas [15] utilizadas,#enfermeras [15] #enfermeras,profesionalmente [15] profesionalmente,descúbrelo Top Word Pairs in Tweet in G6:
[94] anhedonia,xa [94] xa,consalud_es [94] consalud_es,sbr [94] sbr,#mhealth [94] #mhealth,hoy [94] gracias,x [78] dralfonsovidal,anhedonia [41] hoy,#felizfinde [41] #felizfinde,gracias [31] hoy,#felizsabado Top Word Pairs in Tweet in G7:
[14] #mhealth,#digitalhealth [13] interested,#ai [13] #ai,#valuebasedhealthcare [13] #valuebasedhealthcare,learn [13] learn,good [13] good,practices [13] practices,europe [13] europe,progress [13] progress,join [13] join,coral Top Word Pairs in Tweet in G8:
[5] aligned,#worlddiabetesday [5] #worlddiabetesday,theme [5] theme,family [5] family,diabetes [5] diabetes,georgeinstin [5] georgeinstin,brings [5] brings,voices [5] voices,field [5] field,emphasize [4] nurxapp,connects Top Word Pairs in Tweet in G9:
[31] nueva,infografia [31] infografia,#ffpaciente [31] #ffpaciente,#apps [31] #apps,#salud [31] #salud,herramienta [31] herramienta,gestionar [31] gestionar,problemas [31] problemas,#salud [31] #salud,mejorar [31] mejorar,así Top Word Pairs in Tweet in G10:
[10] نفضفض,طيب [5] متى,نحتاج [5] نحتاج,نفضفض [5] طيب,لمين [5] لمين,رح [5] رح,نفضفض [5] طيب,هل [5] هل,في [5] في,احد [5] احد,رح 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 G5:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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: