The graph represents a network of 1,411 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, 12 September 2022 at 02:06 UTC.
The requested start date was Monday, 12 September 2022 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, 12-hour, 9-minute period from Monday, 29 August 2022 at 00:02 UTC to Sunday, 11 September 2022 at 12:12 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 : 1411
Unique Edges : 928
Edges With Duplicates : 8220
Total Edges : 9148
Number of Edge Types : 5
Retweet : 3119
MentionsInRetweet : 4218
Mentions : 815
Tweet : 937
Replies to : 59
Self-Loops : 984
Reciprocated Vertex Pair Ratio : 0.0326894502228826
Reciprocated Edge Ratio : 0.0633093525179856
Connected Components : 130
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 850
Maximum Edges in a Connected Component : 8199
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.612739
Graph Density : 0.0010479967429166
Modularity : 0.197514
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,411 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, 12 September 2022 at 02:06 UTC.
The requested start date was Monday, 12 September 2022 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, 12-hour, 9-minute period from Monday, 29 August 2022 at 00:02 UTC to Sunday, 11 September 2022 at 12:12 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:
[781] #digitalhealth,#socialmedia [349] gt,gt [347] #socialmedia,#digitalmarketing [274] #ehealth,#mhealth [213] #telehealth,#telemedicine [191] #digitalhealth,#wearables [188] wearablesexpert,talks [170] #mhealth,#digitalhealth [168] #wearables,series [136] series,wearablesexpert Top Word Pairs in Tweet in G1:
[78] #digitalhealth,#socialmedia [52] #mhealth,#hcsm [49] gt,gt [43] #hcsm,#hcsmeu [40] #ehealth,#mhealth [39] wearablesexpert,talks [35] #telehealth,#telemedicine [29] #digitalhealth,#wearables [28] #mhealth,#digitalhealth [28] app,gives Top Word Pairs in Tweet in G2:
[540] #digitalhealth,#socialmedia [272] #socialmedia,#digitalmarketing [185] gt,gt [73] #ai,#mhealth [63] gt,#digitalhealth [57] #ai,#iot [57] #digitalmarketing,#ai [51] #iot,#mhealth [48] gave,kred [48] kred,#influence Top Word Pairs in Tweet in G3:
[168] #ehealth,#mhealth [154] #telehealth,#telemedicine [130] #digitalhealth,#wearables [112] wearablesexpert,talks [111] #wearables,series [94] #mhealth,#telehealth [89] #mhealth,#digitalhealth [87] series,wearablesexpert [80] #mhealth,#ehealth [79] #digitalhealth,#socialmedia Top Word Pairs in Tweet in G4:
[84] #digitalhealth,#socialmedia [67] gt,gt [36] #mhealth,#digitalhealth [34] wearablesexpert,talks [31] #ehealth,#mhealth [31] #digitalhealth,#wearables [29] #wearables,series [27] #socialmedia,#digitalmarketing [26] digital,health [26] series,wearablesexpert Top Word Pairs in Tweet in G5:
[119] seems,oprah [119] oprah,involved [119] involved,producing [119] spotify,content [119] content,harpo [119] harpo,exec [119] exec,producer [119] producer,terry [119] terry,wood [119] wood,produced Top Word Pairs in Tweet in G6:
[97] rooms,booked [97] booked,solidly [97] solidly,months [97] months,15 [97] 15,20 [97] 20,patients [97] patients,expecting [97] expecting,sept [97] sept,22 [97] 22,waited Top Word Pairs in Tweet in G7:
[10] elon,musk [10] musk,combining [9] mhealth,apps [6] mhealth,market [6] #,# [5] scoping,review [4] mhealth,app [4] mhealth,interventions [4] ðµð,ðµð [3] health,related Top Word Pairs in Tweet in G8:
[41] smartphone,electronic [41] electronic,stethoscope [41] stethoscope,factors [41] factors,influencing [41] influencing,heart [41] heart,sound [41] sound,quality [41] quality,#ehjdigital [40] esc_journals,smartphone [38] #ehjdigital,#m Top Word Pairs in Tweet in G9:
[78] xa,consalud_es [78] consalud_es,sbr [78] sbr,#mhealth [78] #mhealth,gracias [78] gracias,leer [50] dralfonsovidal,crudo [50] co,m80fv2q5me [50] m80fv2q5me,xa [40] crudo,ðÿœ [40] ðÿœ,ðÿª Top Word Pairs in Tweet in G10:
[6] nmarrouche,mekhaelmario [6] mekhaelmario,biostrap [6] biostrap,tulanetriad [6] tulanetriad,absolutely [6] absolutely,very [6] very,important [6] important,topic [6] topic,see [6] see,data [6] data,#mhealth Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: