The graph represents a network of 1,755 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, 20 September 2021 at 01:45 UTC.
The requested start date was Monday, 20 September 2021 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, 10-hour, 25-minute period from Monday, 06 September 2021 at 01:47 UTC to Sunday, 19 September 2021 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 : 1755
Unique Edges : 1528
Edges With Duplicates : 8596
Total Edges : 10124
Number of Edge Types : 5
Retweet : 3428
MentionsInRetweet : 4512
Replies to : 56
Mentions : 1054
Tweet : 1074
Self-Loops : 1123
Reciprocated Vertex Pair Ratio : 0.0531315974665728
Reciprocated Edge Ratio : 0.10090210491146
Connected Components : 157
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 1310
Maximum Edges in a Connected Component : 8990
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.81949
Graph Density : 0.000972299375948179
Modularity : 0.256315
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,755 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, 20 September 2021 at 01:45 UTC.
The requested start date was Monday, 20 September 2021 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, 10-hour, 25-minute period from Monday, 06 September 2021 at 01:47 UTC to Sunday, 19 September 2021 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:
[869] #digitalhealth,#socialmedia [453] #rstats,#reactjs [405] #socialmedia,#digitalmarketing [353] #reactjs,#iot [285] #iot,#iiot [261] #python,#rstats [244] gt,gt [230] #analytics,#ai [220] #machinelearning,#ai [218] #analytics,#machinelearning Top Word Pairs in Tweet in G1:
[124] #digitalhealth,#socialmedia [50] #mhealth,#digitalhealth [50] gt,gt [37] #mhealth,#hcsm [36] #digitalhealth,#mhealth [35] mental,health [33] #ehealth,#mhealth [32] #mhealth,#healthcare [30] #patientpayments,#mhealth [27] #hcsm,#hcsmeu Top Word Pairs in Tweet in G2:
[447] #rstats,#reactjs [348] #reactjs,#iot [279] #iot,#iiot [259] #python,#rstats [227] #analytics,#ai [215] #analytics,#machinelearning [215] #machinelearning,#ai [179] #ai,#python [147] #ai,#machinelearning [136] #ai,#rstats Top Word Pairs in Tweet in G3:
[108] hiring,doc [108] doc,60 [108] 60,000 [108] 000,salary [108] salary,training [108] training,automated [108] automated,smartphone [108] smartphone,based [108] based,assessment [108] assessment,time Top Word Pairs in Tweet in G4:
[37] #digitalhealth,#socialmedia [20] centric,approaches [20] approaches,#mhealth [20] 10,30 [20] 30,12 [20] 12,00 [20] patient,centric [18] 00,cest [14] 22nd,10 [14] cest,patient Top Word Pairs in Tweet in G5:
[621] #digitalhealth,#socialmedia [347] #socialmedia,#digitalmarketing [168] gt,gt [78] #healthtech,#mhealth [75] #digitalmarketing,#ai [69] #iot,#industry40 [69] #mhealth,#ai [68] #mhealth,#hcsm [67] #hcsm,#hcsmeu [66] #ai,#healthtech Top Word Pairs in Tweet in G6:
[20] digital,health [17] #digitalhealth,#wearables [17] #wearables,series [16] #digitalhealth,#mhealth [13] see,chance [13] chance,greatest [13] greatest,#meded [13] #meded,minds [13] minds,met [13] met,tagged Top Word Pairs in Tweet in G7:
[12] mhealth,apps [8] #digitalhealth,#mhealth [8] #mhealth,#healthtech [7] #healthtech,#healthcareux [6] noom,app [5] revenue,cycle [5] cycle,management [5] ux,best [5] best,practice [5] practice,#healthapps Top Word Pairs in Tweet in G8:
[93] debatir,hablar [93] hablar,público [93] público,co [93] xa,consalud_es [93] consalud_es,sbr [93] sbr,#mhealth [93] #mhealth,gracias [75] co,h5ffbwbze4 [75] h5ffbwbze4,xa [66] dralfonsovidal,debatir Top Word Pairs in Tweet in G9:
[21] coming,sept [21] sept,22 [21] #sparklive,webinar [21] webinar,drwekerle [21] drwekerle,aislinmushquash [21] aislinmushquash,#mhealth [21] #mhealth,youth [19] childhealthcan,coming [16] 22,join [16] join,#sparklive Top Word Pairs in Tweet in G10:
[9] understanding,stopping [9] stopping,listening [9] listening,letting [9] letting,others [9] others,know [9] know,rafac_mhealth [9] clairesarsfield,mo_merchant [8] rafac_mhwr,understanding [7] mental,health [6] aircadets,comdtac Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: