The graph represents a network of 1,584 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, 23 May 2022 at 02:06 UTC.
The requested start date was Monday, 23 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, 9-hour, 3-minute period from Monday, 09 May 2022 at 03:09 UTC to Sunday, 22 May 2022 at 12:13 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 : 1584
Unique Edges : 1516
Edges With Duplicates : 7367
Total Edges : 8883
Number of Edge Types : 5
Retweet : 2846
MentionsInRetweet : 3881
Mentions : 1088
Tweet : 998
Replies to : 70
Self-Loops : 1039
Reciprocated Vertex Pair Ratio : 0.0454911433172303
Reciprocated Edge Ratio : 0.0870234886407393
Connected Components : 167
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 1090
Maximum Edges in a Connected Component : 8100
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.63881
Graph Density : 0.00103570448643096
Modularity : 0.245937
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,584 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, 23 May 2022 at 02:06 UTC.
The requested start date was Monday, 23 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, 9-hour, 3-minute period from Monday, 09 May 2022 at 03:09 UTC to Sunday, 22 May 2022 at 12:13 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:
[647] #digitalhealth,#socialmedia [376] gt,gt [317] #socialmedia,#digitalmarketing [158] #ehealth,#mhealth [145] digital,health [121] #mhealth,#digitalhealth [108] #reactjs,#iot [107] #python,#reactjs [105] #machinelearning,#ai [102] gt,#digitalhealth Top Word Pairs in Tweet in G1:
[83] #digitalhealth,#socialmedia [75] gt,gt [30] digital,health [27] #socialmedia,#digitalmarketing [24] #mhealth,#hcsm [23] more,detail [23] detail,visit [20] visit,website [19] wearablesexpert,talks [17] #ehealth,#mhealth Top Word Pairs in Tweet in G2:
[98] #reactjs,#iot [97] #python,#reactjs [94] #machinelearning,#ai [88] #ai,#python [84] #analytics,#machinelearning [58] #ar,#vr [58] #vr,#mr [57] #analytics,#ar [57] #iot,#ml [47] #ai,#machinelearning Top Word Pairs in Tweet in G3:
[116] #digitalhealth,#socialmedia [70] gt,gt [55] #mhealth,#digitalhealth [36] #socialmedia,#digitalmarketing [26] #digitalhealth,#mhealth [24] #mhealth,#ehealth [24] #ehealth,#mhealth [23] #digitalhealth,#iot [22] digital,health [22] #healthcare,#mhealth Top Word Pairs in Tweet in G4:
[81] xa,consalud_es [81] consalud_es,sbr [81] sbr,#mhealth [81] #mhealth,gracias [81] gracias,leer [79] relevo,generacional [79] generacional,lt [79] lt,co [68] #digitalhealth,#socialmedia [52] dralfonsovidal,relevo Top Word Pairs in Tweet in G5:
[11] link,#ehr [11] #ehr,#healthcare [11] #healthcare,#emr [11] #emr,#healthcareit [9] mhealth,apps [8] elon,musk [8] musk,combining [5] mobile,health [5] mental,health [5] benefits,mhealth Top Word Pairs in Tweet in G6:
[49] #mhealth,#ehealth [42] #ehealth,#mhealth [36] wearablesexpert,talks [33] #ehealth,#digitalhealth [32] #clinitouchvie,fujifilm_hcemea [27] #digitalhealth,#wearables [27] fujifilm_hcemea,#mhealth [26] health,equity [24] digital,health [24] series,wearablesexpert Top Word Pairs in Tweet in G7:
[22] estimated,50 [22] 50,million [22] million,people [22] people,live [22] live,dementia [22] dementia,worldwide [22] worldwide,introduce [22] introduce,scale [22] scale,#mhealth [22] #mhealth,programmes Top Word Pairs in Tweet in G8:
[373] #digitalhealth,#socialmedia [233] #socialmedia,#digitalmarketing [180] gt,gt [58] gt,#digitalhealth [49] #healthtech,#ai [49] #ai,#iot [48] #digitalmarketing,#healthtech [48] #digitalhealth,#industry40 [48] #iot,#ai [46] #healthtech,#iot Top Word Pairs in Tweet in G9:
[7] hot,press [7] press,newsletter [7] newsletter,find [7] find,inbox [7] inbox,read [7] read,gt [7] gt,gt [7] check,pathverse [7] pathverse,platform [7] platform,building Top Word Pairs in Tweet in G10:
[12] mental,health [11] euregha,micheclb [11] micheclb,boost_mhealth [11] boost_mhealth,giovannigorgoni [11] giovannigorgoni,aquascat [11] aquascat,tecscotland [11] tecscotland,aresspuglia [11] aresspuglia,ehealth_eu [11] ehealth_eu,eu_health [11] eu_health,skaneeuoffice Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
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: