The graph represents a network of 1,256 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, 15 August 2022 at 02:06 UTC.
The requested start date was Monday, 15 August 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, 12-hour, 2-minute period from Monday, 01 August 2022 at 00:13 UTC to Sunday, 14 August 2022 at 12:15 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 : 1256
Unique Edges : 977
Edges With Duplicates : 8007
Total Edges : 8984
Number of Edge Types : 5
Mentions : 781
MentionsInRetweet : 3970
Replies to : 63
Retweet : 3192
Tweet : 978
Self-Loops : 1022
Reciprocated Vertex Pair Ratio : 0.0355029585798817
Reciprocated Edge Ratio : 0.0685714285714286
Connected Components : 114
Single-Vertex Connected Components : 52
Maximum Vertices in a Connected Component : 888
Maximum Edges in a Connected Component : 8317
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.578051
Graph Density : 0.00122122973075849
Modularity : 0.183178
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 1,256 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, 15 August 2022 at 02:06 UTC.
The requested start date was Monday, 15 August 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, 12-hour, 2-minute period from Monday, 01 August 2022 at 00:13 UTC to Sunday, 14 August 2022 at 12:15 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:
[1020] #digitalhealth,#socialmedia [523] #socialmedia,#digitalmarketing [378] gt,gt [219] #ehealth,#mhealth [172] digital,health [158] #python,#reactjs [144] #ai,#python [139] #analytics,#bigdata [137] #mhealth,#digitalhealth [131] #mhealth,#ehealth Top Word Pairs in Tweet in G1:
[276] #digitalhealth,#socialmedia [144] #ehealth,#mhealth [129] gt,gt [105] #socialmedia,#digitalmarketing [95] wearablesexpert,talks [91] #mhealth,#digitalhealth [89] digital,health [82] #telehealth,#telemedicine [78] #mhealth,#ehealth [76] #mhealth,#telehealth Top Word Pairs in Tweet in G2:
[90] #digitalhealth,#socialmedia [64] gt,gt [42] digital,health [42] #mhealth,#hcsm [37] #hcsm,#hcsmeu [35] #ehealth,#mhealth [28] #socialmedia,#digitalmarketing [27] wearablesexpert,talks [21] #digitalhealth,#wearables [19] #wearables,series Top Word Pairs in Tweet in G3:
[140] #python,#reactjs [126] #ai,#python [125] #analytics,#bigdata [106] #analytics,#machinelearning [87] #bigdata,#ai [83] #reactjs,#machinelearning [82] #machinelearning,#iot [77] #machinelearning,#ai [55] #reactjs,#iot [38] #iot,#iiot Top Word Pairs in Tweet in G4:
[632] #digitalhealth,#socialmedia [379] #socialmedia,#digitalmarketing [162] gt,gt [73] #digitalmarketing,#ai [64] #ai,#iot [56] #digitalmarketing,#mhealth [54] gt,#digitalhealth [53] #iot,#ai [52] #healthtech,#iot [52] #ai,#healthtech Top Word Pairs in Tweet in G5:
[33] motivation,adherence [32] patient,motivation [27] adherence,within [27] within,#telecheckaf [27] #telecheckaf,mean [27] mean,adherence [27] adherence,94 [27] 94,oldest [27] oldest,patients [27] patients,gt Top Word Pairs in Tweet in G6:
[29] #ehealth,#mhealth [25] #techforgood,#ehealth [25] #mhealth,#digitalhealth [25] #digitalisation,#mhealth [25] #mhealth,#ehealth [19] #digitalhealthcare,#digitaltransformation [18] #ehealth,#healthtech [16] #digitalhealth,#digitalhealthcare [15] #digitaltransformation,#healthit [15] #healthit,#digitalisation Top Word Pairs in Tweet in G7:
[9] mhealth,apps [9] oral,health [8] digital,health [6] parents,improve [6] children,oral [6] mobile,health [5] apps,market [5] elon,musk [5] musk,combining [4] improve,children Top Word Pairs in Tweet in G8:
[10] #ai,helps [10] helps,scientists [10] scientists,keep [10] keep,#covid19 [10] #covid19,mutation [10] mutation,race [10] race,#covid [10] #covid,#mutationーspace [10] #mutationーspace,#sciencetwitter [9] communicating,more Top Word Pairs in Tweet in G9:
[4] thanks,journal_mhealth [4] journal_mhealth,sharing [4] sharing,excellent [4] excellent,news [4] news,neilperrynhs [4] neilperrynhs,irhogan [4] irhogan,joined [4] joined,highlandmarktng [4] highlandmarktng,advisory [4] making,digital Top Word Pairs in Tweet in G10:
[14] #insomnia,#cancer [14] #cancer,#mhealth [14] #mhealth,#ehealth [14] #ehealth,help [14] help,design [14] design,treatment [14] treatment,smartphone [14] smartphone,app [14] app,please [14] please,share Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G8:
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 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: