The graph represents a network of 2,278 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, 21 June 2021 at 01:45 UTC.
The requested start date was Monday, 21 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 12-day, 1-hour, 4-minute period from Tuesday, 08 June 2021 at 10:39 UTC to Sunday, 20 June 2021 at 11:44 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 : 2278
Unique Edges : 2009
Edges With Duplicates : 14432
Total Edges : 16441
Number of Edge Types : 5
Retweet : 5729
MentionsInRetweet : 7832
Mentions : 1484
Replies to : 99
Tweet : 1297
Self-Loops : 1465
Reciprocated Vertex Pair Ratio : 0.0409753645047763
Reciprocated Edge Ratio : 0.0787249456652982
Connected Components : 167
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 1846
Maximum Edges in a Connected Component : 15580
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.713778
Graph Density : 0.000798341085396855
Modularity : 0.217529
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,278 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, 21 June 2021 at 01:45 UTC.
The requested start date was Monday, 21 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 12-day, 1-hour, 4-minute period from Tuesday, 08 June 2021 at 10:39 UTC to Sunday, 20 June 2021 at 11:44 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:
[982] #digitalhealth,#socialmedia [762] #rstats,#reactjs [694] #ai,#python [692] #python,#rstats [659] #machinelearning,#ai [643] #reactjs,#iot [618] #iot,#iiot [588] #analytics,#machinelearning [525] margaretsiegien,pawlowskimario [428] #socialmedia,#digitalmarketing Top Word Pairs in Tweet in G1:
[762] #digitalhealth,#socialmedia [732] #rstats,#reactjs [665] #ai,#python [663] #python,#rstats [629] #machinelearning,#ai [617] #reactjs,#iot [564] #analytics,#machinelearning [562] #iot,#iiot [518] margaretsiegien,pawlowskimario [378] #socialmedia,#digitalmarketing Top Word Pairs in Tweet in G2:
[110] #ehealth,#mhealth [104] #digitalhealth,#socialmedia [76] catch,latest [76] latest,story [65] #digitalhealth,#mhealth [63] tap,view [58] #telehealth,#mhealth [56] gt,gt [56] story,#vcdoctor [56] #vcdoctor,read Top Word Pairs in Tweet in G3:
[230] mashable,enricomolinari [187] enricomolinari,#ehealth [93] #digitalhealth,#socialmedia [89] wef,enricomolinari [81] #ehealth,#mhealth [61] #fintech,#finserv [54] #finserv,#insurtech [51] 2021,wef [51] #insurtech,#proptech [50] #banking,#fintech Top Word Pairs in Tweet in G4:
[10] covid,19 [10] untuk,pemesanan [9] info,lebih [9] lebih,lanjut [9] lanjut,klik [8] klik,untuk [7] mhealth,collaborative [7] collaborative,unveils [7] unveils,definition [7] definition,resources Top Word Pairs in Tweet in G5:
[17] #digitalhealth,#socialmedia [14] #healthcare,#digitalhealth [10] #digitalhealth,#wearables [10] #wearables,series [9] #digitalhealth,#mhealth [7] #ehealth,#mhealth [7] digital,health [7] #socialmedia,#digitalmarketing [6] joão,bocas [6] spirit,digital Top Word Pairs in Tweet in G6:
[63] #mhealth,#hcsm [62] #hcsm,#hcsmeu [50] jmir,mhealth [46] edición,#ehealthbeats [45] nueva,edición [45] #ehealthbeats,escuela [45] escuela,pacientes [39] llega,nueva [37] pacientes,17 [37] 17,junio Top Word Pairs in Tweet in G7:
[90] salud,circular [90] circular,co [90] co,ysxvwzea6t [90] ysxvwzea6t,xa [90] xa,consalud_es [90] consalud_es,sbr [90] sbr,#mhealth [90] #mhealth,gracias [62] dralfonsovidal,salud [6] nuevas,modalidades Top Word Pairs in Tweet in G8:
[12] q4,important [12] important,step [12] step,pivot [12] pivot,#pandemic [12] #pandemic,#telehealth [12] #telehealth,stopgaps [12] stopgaps,#digitalhealth [12] #digitalhealth,becoming [12] becoming,standard [11] jameyedwards,q4 Top Word Pairs in Tweet in G9:
[53] mhealth,apps [48] depth,analysis [48] analysis,more [48] more,20 [48] 20,000 [48] 000,health [48] health,related [48] related,mobile [48] mobile,applications [47] applications,mhealth Top Word Pairs in Tweet in G10:
[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 Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: