The graph represents a network of 2,550 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, 16 November 2020 at 02:07 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 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 12-day, 3-hour, 50-minute period from Monday, 02 November 2020 at 01:50 UTC to Saturday, 14 November 2020 at 05:40 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 : 2550
Unique Edges : 2392
Edges With Duplicates : 8831
Total Edges : 11223
Number of Edge Types : 5
Retweet : 3493
MentionsInRetweet : 4739
Mentions : 1768
Tweet : 1118
Replies to : 105
Self-Loops : 1198
Reciprocated Vertex Pair Ratio : 0.0424272323630982
Reciprocated Edge Ratio : 0.08140085186938
Connected Components : 239
Single-Vertex Connected Components : 132
Maximum Vertices in a Connected Component : 1979
Maximum Edges in a Connected Component : 10180
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.728971
Graph Density : 0.000650158847375749
Modularity : 0.314521
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,550 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, 16 November 2020 at 02:07 UTC.
The requested start date was Monday, 16 November 2020 at 01:01 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 12-day, 3-hour, 50-minute period from Monday, 02 November 2020 at 01:50 UTC to Saturday, 14 November 2020 at 05:40 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:
[1486] gt,gt [395] gt,#digitalhealth [278] #ai,#iot [259] #iot,#iiot [250] #rstats,#reactjs [245] covid,19 [240] #digitalhealth,#socialmedia [185] #socialmedia,#digitalmarketing [132] #digitalhealth,#mhealth [121] #analytics,#machinelearning Top Word Pairs in Tweet in G1:
[1100] gt,gt [321] gt,#digitalhealth [214] #digitalhealth,#socialmedia [177] #socialmedia,#digitalmarketing [139] #ai,#iot [72] wef,enricomolinari [57] #mhealth,#ai [53] #ai,#mhealth [53] covid,19 [51] enricomolinari,#efood Top Word Pairs in Tweet in G2:
[198] gt,gt [61] covid,19 [39] #digitalhealth,#mhealth [37] #mhealth,#digitalhealth [31] gt,#digitalhealth [30] #mhealth,#hcsm [29] learn,more [22] digital,health [21] #hcsm,#hcsmeu [21] mental,health Top Word Pairs in Tweet in G3:
[147] gt,gt [69] #mhealth,#hcsm [67] #hcsm,#hcsmeu [65] covid,19 [57] #digitalhealth,#mhealth [34] digital,health [31] gt,#digitalhealth [30] health,apps [28] #mhealth,#patientpayments [27] #digitalhealth,#healthtech Top Word Pairs in Tweet in G4:
[21] #mhealth,#digitalhealth [20] dec,30am [20] meet,#healthtech [20] #healthtech,journalists [19] 30am,meet [17] tues,dec [14] gil_bashe,finnpartners [13] algorithm,spots [13] spots,#covid19 [13] #covid19,œcoughâ Top Word Pairs in Tweet in G5:
[14] covid,19 [12] mental,health [10] mobile,health [8] mhealth,apps [8] #mentalhealthmatters,#projectmentalhealth [8] #projectmentalhealth,#health [7] use,mhealth [7] #mentalhealth,#mentalhealthawareness [7] #mentalhealthawareness,#mentalhealthmatters [7] #health,#awareness Top Word Pairs in Tweet in G6:
[39] jmir,mhealth [21] digital,micro [19] paper,conceptualizing [19] conceptualizing,digital [19] micro,interventions [19] interventions,way [19] way,deliver [19] deliver,#digitalhealth [19] #digitalhealth,care [19] amitba,paper Top Word Pairs in Tweet in G7:
[220] #iot,#iiot [208] #rstats,#reactjs [123] #ai,#iot [102] #analytics,#machinelearning [97] #reactjs,#iot [90] #machinelearning,#ai [86] #linux,#serverless [85] #analytics,#augmentedreality [82] #xr,#ai [75] #reactjs,#ai Top Word Pairs in Tweet in G8:
[14] today,#worldkindnessday [14] #worldkindnessday,world [14] world,full [14] full,uncertainty [14] uncertainty,kind [14] kind,share [14] share,stories [14] stories,kindness [13] aircadets,today [13] rafac_mhwr,rafac_mhealth Top Word Pairs in Tweet in G9:
[61] xa,consalud_es [61] consalud_es,sbr [61] sbr,#mhealth [61] #mhealth,gracias [34] civismo,xa [26] dralfonsovidal,civismo [15] tetera,covid [15] covid,xa [14] hoy,aã [14] aã,os Top Word Pairs in Tweet in G10:
[22] gt,gt [20] 50,digital [17] digital,subscription [15] code,save50 [14] subscription,journal_mhealth [14] journal_mhealth,using [14] using,code [14] save50,leading [14] leading,publication [14] publication,emerging Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: