The graph represents a network of 2,348 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, 14 June 2021 at 01:46 UTC.
The requested start date was Monday, 14 June 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, 11-hour, 49-minute period from Monday, 31 May 2021 at 00:13 UTC to Sunday, 13 June 2021 at 12:02 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 : 2348
Unique Edges : 2198
Edges With Duplicates : 13081
Total Edges : 15279
Number of Edge Types : 5
Retweet : 5295
MentionsInRetweet : 6675
Mentions : 1756
Replies to : 200
Tweet : 1353
Self-Loops : 1557
Reciprocated Vertex Pair Ratio : 0.050063211125158
Reciprocated Edge Ratio : 0.0953527570431014
Connected Components : 192
Single-Vertex Connected Components : 93
Maximum Vertices in a Connected Component : 1782
Maximum Edges in a Connected Component : 14067
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.793278
Graph Density : 0.000753617108070109
Modularity : 0.235643
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,348 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, 14 June 2021 at 01:46 UTC.
The requested start date was Monday, 14 June 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, 11-hour, 49-minute period from Monday, 31 May 2021 at 00:13 UTC to Sunday, 13 June 2021 at 12:02 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:
[995] #digitalhealth,#socialmedia [912] #rstats,#reactjs [883] #machinelearning,#ai [874] #ai,#python [839] #python,#rstats [768] #analytics,#machinelearning [714] #reactjs,#iot [649] #iot,#iiot [441] #socialmedia,#digitalmarketing [305] gt,gt Top Word Pairs in Tweet in G1:
[94] #digitalhealth,#socialmedia [88] catch,latest [88] latest,story [87] #telehealth,#mhealth [80] #mhealth,#healthcare [79] #mentalhealth,#onlineconsultation [78] story,#vcdoctor [78] #vcdoctor,read [72] #onlineconsultation,#online_diagnosis [71] tap,view Top Word Pairs in Tweet in G2:
[888] #rstats,#reactjs [857] #machinelearning,#ai [849] #ai,#python [823] #digitalhealth,#socialmedia [814] #python,#rstats [748] #analytics,#machinelearning [693] #reactjs,#iot [613] #iot,#iiot [400] #socialmedia,#digitalmarketing [229] gt,gt Top Word Pairs in Tweet in G3:
[131] enricomolinari,#ehealth [81] #ehealth,#mhealth [69] mashable,enricomolinari [67] #digitalhealth,#socialmedia [66] wef,enricomolinari [49] trends,2021 [39] biggest,#wearabletech [39] #wearabletech,trends [39] 2021,✚ï [39] ✚ï,š Top Word Pairs in Tweet in G4:
[7] #digitalhealth,#mhealth [7] covid,19 [6] contact,tracing [6] manomet,current [6] top,features [6] features,challenges [6] challenges,mhealth [6] mhealth,development [5] mhealth,solutions [5] solutions,market Top Word Pairs in Tweet in G5:
[7] difficult,navigate [7] navigate,world's [7] world's,#digitalhealth [7] #digitalhealth,standards [7] standards,regulations [7] regulations,we've [7] we've,united [6] orchahealth,difficult [6] united,withi [5] case,studies Top Word Pairs in Tweet in G6:
[11] nicer,ad [11] ad,posted [11] posted,later [11] later,please [11] please,consider [11] consider,participating [11] participating,dissertation [11] dissertation,study [11] study,testing [11] testing,#mhealth Top Word Pairs in Tweet in G7:
[78] sbr,#mhealth [78] #mhealth,gracias [49] consalud_es,sbr [47] salud,circular [47] circular,co [47] co,ysxvwzea6t [47] ysxvwzea6t,xa [47] xa,consalud_es [34] ethos,2050 [31] dralfonsovidal,salud Top Word Pairs in Tweet in G8:
[14] aircadets,rafac_mhealth [14] comdtac,aircadets [13] rafac_mhealth,comdtac [9] staff,cadets [9] cushmanfreya,flyingwithzain [7] aircadets,cushmanfreya [7] flyingwithzain,rubina_b_ [7] rubina_b_,rafac_mhealth [7] wso5_semidlands,rafac_mhealth [6] wso5_semidlands,aircadets Top Word Pairs in Tweet in G9:
[13] latest,mhealth [13] mhealth,daily [13] daily,thanks [5] #healthcare,#digitalhealth [2] #digitalhealth,#healthcare Top Word Pairs in Tweet in G10:
[21] looking,fun [21] fun,dynamic [21] dynamic,rewarding [21] rewarding,job [21] job,research [21] research,awesome [21] awesome,team [21] team,buamplab [21] buamplab,looking [21] looking,full 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 G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: