The graph represents a network of 2,344 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, 05 October 2020 at 00:48 UTC.
The requested start date was Monday, 05 October 2020 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, 20-hour, 9-minute period from Monday, 21 September 2020 at 00:04 UTC to Sunday, 04 October 2020 at 20:13 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 : 2344
Unique Edges : 2335
Edges With Duplicates : 9121
Total Edges : 11456
Number of Edge Types : 5
MentionsInRetweet : 4906
Mentions : 1885
Retweet : 3337
Replies to : 136
Tweet : 1192
Self-Loops : 1298
Reciprocated Vertex Pair Ratio : 0.0640791872883563
Reciprocated Edge Ratio : 0.120440636474908
Connected Components : 194
Single-Vertex Connected Components : 111
Maximum Vertices in a Connected Component : 1736
Maximum Edges in a Connected Component : 10322
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.915199
Graph Density : 0.000743810260466512
Modularity : 0.305068
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,344 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, 05 October 2020 at 00:48 UTC.
The requested start date was Monday, 05 October 2020 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, 20-hour, 9-minute period from Monday, 21 September 2020 at 00:04 UTC to Sunday, 04 October 2020 at 20:13 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:
[2032] gt,gt [550] gt,#digitalhealth [287] #digitalhealth,#socialmedia [237] covid,19 [200] #socialmedia,#digitalmarketing [148] #digitalhealth,#mhealth [139] #mhealth,#healthtech [126] digital,health [125] #healthtech,#digitalhealth [115] #mhealth,#hcsm Top Word Pairs in Tweet in G1:
[516] gt,gt [96] covid,19 [93] gt,#digitalhealth [64] #digitalhealth,#mhealth [61] digital,health [52] #mhealth,#digitalhealth [44] #patientpayments,#mhealth [42] #mhealth,#hcsm [39] #healthcare,#mhealth [39] #mhealth,#patientpayments Top Word Pairs in Tweet in G2:
[35] jmir,mhealth [22] covid,19 [20] great,see [20] team,explored [20] explored,apps [20] apps,available [20] available,#depression [20] #depression,using [20] using,#mhealth [20] #mhealth,index Top Word Pairs in Tweet in G3:
[1344] gt,gt [430] gt,#digitalhealth [258] #digitalhealth,#socialmedia [193] #socialmedia,#digitalmarketing [102] #mhealth,#healthtech [78] covid,19 [72] #mhealth,#hcsm [68] #hcsm,#hcsmeu [58] #digitalhealth,#mhealth [55] #digitalhealth,#industry40 Top Word Pairs in Tweet in G4:
[22] mhealth,app [18] intertrust,releases [18] security,report [17] releases,2020 [17] report,global [17] global,mhealth [17] app,threats [16] 2020,security [9] mhealth,apps [8] covid,19 Top Word Pairs in Tweet in G5:
[99] #healthit,#healthtech [96] #healthtech,#digitalhealth [76] #digitalhealth,#medtech [73] #medtech,#mhealth [46] hubbucket,prosumersoft [37] #artificialintelligence,#ai [30] gt,gt [27] #mhealth,co [26] hubbucket,#datascience [25] #machinelearning,#deeplearning Top Word Pairs in Tweet in G6:
[78] gt,gt [16] mhealth,daily [14] latest,mhealth [14] daily,thanks [11] gt,#digitalhealth [10] #wearables,#mhealth [8] digital,health [7] apple,watch [7] #mhealth,#wearables [6] #mhealth,#digitalhealth Top Word Pairs in Tweet in G7:
[69] bezamerid,lskolarus [60] #telemednow,#outcomesjc [42] low,income [39] iamritu,question [36] amibhattmd,arwmd [32] ceciconnolly,jameyedwards [28] arwmd,helenburstin [27] arwmd,amibhattmd [27] iamritu,circoutcomes [26] community,based Top Word Pairs in Tweet in G8:
[10] pain,patients [5] heavy,surveillance [5] surveillance,pain [5] patients,wrong [5] wrong,criminals [5] criminals,stop [5] stop,treating [5] treating,pain [5] patients,criminals [4] lelenapeacock,ladyag72 Top Word Pairs in Tweet in G9:
[91] xa,consalud_es [91] sbr,#mhealth [89] consalud_es,sbr [89] #mhealth,gracias [45] global,vs [45] vs,local [45] local,xa [44] vacunas,xa [31] dralfonsovidal,vacunas [29] dralfonsovidal,global Top Word Pairs in Tweet in G10:
[28] developing,automated [28] automated,smartphone [28] smartphone,based [28] based,time [28] time,adaptive [26] application,oct [26] oct,15 [26] 15,postdoc [26] postdoc,fellowship [26] fellowship,developing Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: