The graph represents a network of 3,071 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, 19 October 2020 at 00:49 UTC.
The requested start date was Monday, 19 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, 19-hour, 31-minute period from Monday, 05 October 2020 at 01:30 UTC to Sunday, 18 October 2020 at 21:01 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 : 3071
Unique Edges : 2958
Edges With Duplicates : 10323
Total Edges : 13281
Number of Edge Types : 5
Retweet : 4010
MentionsInRetweet : 5844
Mentions : 2143
Replies to : 103
Tweet : 1181
Self-Loops : 1291
Reciprocated Vertex Pair Ratio : 0.0419456478928712
Reciprocated Edge Ratio : 0.0805140805140805
Connected Components : 197
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 2193
Maximum Edges in a Connected Component : 11458
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.865265
Graph Density : 0.000561202464581453
Modularity : 0.340682
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,071 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, 19 October 2020 at 00:49 UTC.
The requested start date was Monday, 19 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, 19-hour, 31-minute period from Monday, 05 October 2020 at 01:30 UTC to Sunday, 18 October 2020 at 21:01 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:
[1931] gt,gt [477] gt,#digitalhealth [442] ø,ø [305] ø,ù [293] #digitalhealth,#socialmedia [247] ù,ø [232] ù,ù [228] covid,19 [224] #socialmedia,#digitalmarketing [200] #digitalhealth,#mhealth Top Word Pairs in Tweet in G1:
[318] gt,gt [107] #digitalhealth,#mhealth [71] covid,19 [68] #mhealth,#healthtech [47] gt,#digitalhealth [42] digital,health [34] #mhealth,#hcsm [30] mental,health [28] #mhealth,#digitalhealth [26] #health,#mhealth Top Word Pairs in Tweet in G2:
[1458] gt,gt [396] gt,#digitalhealth [261] #digitalhealth,#socialmedia [218] #socialmedia,#digitalmarketing [85] covid,19 [82] enricomolinari,cc [70] #ai,#iot [68] #mhealth,#healthtech [67] #medtech,#mhealth [66] gigadgets_,enricomolinari Top Word Pairs in Tweet in G3:
[185] rising,adoption [185] adoption,fitness [185] fitness,apps [185] apps,people [185] people,globe [185] globe,growing [185] growing,penetration [185] penetration,smartphones [185] smartphones,internet [185] internet,increasing Top Word Pairs in Tweet in G4:
[116] #healthtech,#digitalhealth [102] #healthit,#healthtech [90] #digitalhealth,#medtech [81] #medtech,#mhealth [74] hubbucket,prosumersoft [48] #artificialintelligence,#ai [42] hubbucket,#healthit [40] prosumersoft,hubmedx [27] #digitalhealth,#healthtech [26] #healthit,#digitalhealth Top Word Pairs in Tweet in G5:
[28] review,engine [28] join,friday [28] friday,16th [28] 16th,opensuse [28] opensuse,libreoffice [28] libreoffice,conference [28] conference,talk [28] talk,#mygnuhealth [28] #mygnuhealth,#gnuhealth [28] #gnuhealth,phr Top Word Pairs in Tweet in G6:
[112] gt,gt [30] gt,#digitalhealth [18] mmamas1973,hvanspall [17] #digitalhealth,#mhealth [14] proud,caruben89 [14] caruben89,research [14] research,period [14] period,ulbruxelles [14] ulbruxelles,#eperasme [14] #eperasme,many Top Word Pairs in Tweet in G7:
[16] mental,health [14] social,media [10] aircadets,comdtac [9] brighten,social [9] aircadets,rafac_mhealth [9] joeynoble,xoverradiocalon [9] xoverradiocalon,joannaforest [9] joannaforest,abibrown1 [9] abibrown1,gemmasherlock2 [8] gemmasherlock2,rafac_mhealth Top Word Pairs in Tweet in G8:
[5] barnetsouthgate,nicochan33 [2] nhsx,digihealthnews [2] ehealthnews,digitalhealth2 [2] digitalhealth2,dhealthldn [2] future,big [2] big,data [2] data,powered [2] powered,mhealth [2] mhealth,apps [2] apps,nicochan33 Top Word Pairs in Tweet in G9:
[34] jmir,mhealth [16] gt,gt [15] expanding,#mhealth [15] #mhealth,app [15] app,evaluation [15] evaluation,education [15] education,efforts [15] efforts,team [15] team,partnered [15] partnered,bridgingappss Top Word Pairs in Tweet in G10:
[19] ãƒ,ム[10] ðµð,ðµð [9] mhealth,apps [7] telehealth,mhealth [7] æ,æ [6] mhealth,app [6] covid,19 [6] #digitalhealth,#mhealth [6] æ,ªã [5] mhealth,solutions Top Replied-To in Entire Graph:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: