The graph represents a network of 2,574 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, 18 January 2021 at 01:59 UTC.
The requested start date was Monday, 18 January 2021 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 13-day, 12-hour, 17-minute period from Monday, 04 January 2021 at 01:13 UTC to Sunday, 17 January 2021 at 13:30 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 : 2574
Unique Edges : 2412
Edges With Duplicates : 9966
Total Edges : 12378
Number of Edge Types : 5
MentionsInRetweet : 5286
Mentions : 1900
Retweet : 3920
Tweet : 1179
Replies to : 93
Self-Loops : 1266
Reciprocated Vertex Pair Ratio : 0.0399129172714078
Reciprocated Edge Ratio : 0.0767620376831821
Connected Components : 177
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 2103
Maximum Edges in a Connected Component : 11627
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.882727
Graph Density : 0.000649111220428749
Modularity : 0.299995
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 2,574 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, 18 January 2021 at 01:59 UTC.
The requested start date was Monday, 18 January 2021 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 13-day, 12-hour, 17-minute period from Monday, 04 January 2021 at 01:13 UTC to Sunday, 17 January 2021 at 13:30 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:
[1131] #digitalhealth,#socialmedia [566] gt,gt [501] #socialmedia,#digitalmarketing [394] #rstats,#reactjs [381] #analytics,#ai [244] #ai,#rstats [227] #reactjs,#linux [210] anatomy,education [210] #ar,#vr [207] #vr,#mr Top Word Pairs in Tweet in G1:
[830] #digitalhealth,#socialmedia [426] #socialmedia,#digitalmarketing [371] #rstats,#reactjs [356] gt,gt [352] #analytics,#ai [227] #ai,#rstats [210] #reactjs,#linux [200] #ar,#vr [199] anatomy,education [197] #vr,#mr Top Word Pairs in Tweet in G2:
[249] #digitalhealth,#socialmedia [186] gt,gt [102] #mhealth,#hcsm [87] #hcsm,#hcsmeu [79] #digitalhealth,#mhealth [66] #digitalhealth,#doctors20 [66] #doctors20,#ehr [66] #ehr,#eldercarechat [64] #seomarketing,#emailmarketing [64] #emailmarketing,#digitalhealth Top Word Pairs in Tweet in G3:
[37] #digitalhealth,#socialmedia [16] digital,healthcare [13] read,'explosion' [13] 'explosion',adoption [13] adoption,digital [13] healthcare,#covid [13] #covid,19 [13] #socialmedia,#digitalmarketing [12] health,care [12] lizashallpayne,read Top Word Pairs in Tweet in G4:
[8] mhealth,app [8] cognitive,impairment [7] apple,biogen [7] biogen,use [7] use,mhealth [7] mhealth,wearables [7] wearables,identify [7] identify,cognitive [6] #mccsm,#mdchat [6] #mdchat,#hpm Top Word Pairs in Tweet in G5:
[20] dominik_linz,#epeeps [20] interested,#mhealth [16] #epeeps,people [16] people,interested [16] #mhealth,long [16] long,term [16] term,intermittent [16] intermittent,alivecor [16] alivecor,vs [16] vs,short Top Word Pairs in Tweet in G6:
[13] rafac_mhwr,rafac_mhealth [12] aircadets,comdtac [10] anyone,struggling [10] struggling,lockdown [10] lockdown,netflix [10] netflix,released [10] released,series [10] series,partnership [10] partnership,headspace [10] headspace,based Top Word Pairs in Tweet in G7:
[28] jmir,mhealth [10] randomized,controlled [10] jmirpub,jmir [9] controlled,trial [8] voice,assistants [8] physical,activity [7] meta,analysis [7] self,help [7] cost,effectiveness [7] assistants,perform Top Word Pairs in Tweet in G8:
[23] #mhealth,#bigdata [13] #espinillerasinteligentes,#humanox [13] léelo,artículo [13] #humanox,nuevo [13] nuevo,patrocinador [13] patrocinador,oficial [13] oficial,cadiz_cf [12] #ehealth,#digitalhealth [11] #ehealth,#mhealth [11] estamos,encantados Top Word Pairs in Tweet in G9:
[120] sbr,#mhealth [100] abandonar,nave [98] nave,co [83] co,meodzlrjcu [83] meodzlrjcu,xa [68] dralfonsovidal,abandonar [64] xa,consalud [64] consalud,sbr [56] xa,consalud_es [56] consalud_es,sbr Top Word Pairs in Tweet in G10:
[67] 割と多くの人が間違ってイメージしてる人工心肺,実際の人工心肺 [67] 実際の人工心肺,種類はいろいろ [67] 種類はいろいろ,そりゃ病床だけあっても意味ないよね [67] そりゃ病床だけあっても意味ないよね,画像はhttps [67] 画像はhttps,co [67] co,iy9a163jhzから [66] oekaki_nanana,割と多くの人が間違ってイメージしてる人工心肺 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: