The graph represents a network of 2,856 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, 10 August 2020 at 00:58 UTC.
The requested start date was Monday, 10 August 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, 13-hour, 27-minute period from Monday, 27 July 2020 at 00:07 UTC to Sunday, 09 August 2020 at 13:35 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 : 2856
Unique Edges : 2868
Edges With Duplicates : 10065
Total Edges : 12933
Number of Edge Types : 5
Mentions : 2101
Retweet : 3877
MentionsInRetweet : 5730
Tweet : 1154
Replies to : 71
Self-Loops : 1259
Reciprocated Vertex Pair Ratio : 0.04327633523327
Reciprocated Edge Ratio : 0.0829623634156212
Connected Components : 181
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 2384
Maximum Edges in a Connected Component : 12114
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.503955
Graph Density : 0.000606091823769788
Modularity : 0.316071
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 2,856 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, 10 August 2020 at 00:58 UTC.
The requested start date was Monday, 10 August 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, 13-hour, 27-minute period from Monday, 27 July 2020 at 00:07 UTC to Sunday, 09 August 2020 at 13:35 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:
[1500] gt,gt [435] gt,#digitalhealth [306] #telemedicine,#telehealth [271] #mhealth,#digitalhealth [262] #digitalhealth,#socialmedia [248] #healthcare,#mhealth [241] enricomolinari,#ehealth [227] #socialmedia,#digitalmarketing [224] covid,19 [223] ty,mashable Top Word Pairs in Tweet in G1:
[216] enricomolinari,#ehealth [197] ty,mashable [195] mashable,enricomolinari [154] #ehealth,#medtech [120] ty,wef [98] wef,enricomolinari [95] gigadgets_,enricomolinari [86] ty,seeker [86] seeker,enricomolinari [82] #ehealth,#mhealth Top Word Pairs in Tweet in G2:
[632] gt,gt [175] #telemedicine,#telehealth [144] #digitalhealth,#mhealth [134] #mhealth,#digitalhealth [131] covid,19 [129] #mhealth,#hcsm [117] #telehealth,#healthcare [110] #healthcare,#mhealth [106] #hcsm,#hcsmeu [95] gt,#digitalhealth Top Word Pairs in Tweet in G3:
[822] gt,gt [330] gt,#digitalhealth [227] #digitalhealth,#socialmedia [213] #socialmedia,#digitalmarketing [130] #healthcare,#mhealth [123] #telemedicine,#telehealth [112] #mhealth,#digitalhealth [87] #digitalhealth,#behavioralhealth [85] #behavioralhealth,#mentalhealth [67] #mhealth,#ai Top Word Pairs in Tweet in G4:
[67] #healthit,#healthtech [60] #healthtech,#medtech [60] #medtech,#mhealth [40] hubbucket,prosumersoft [21] #covid19,#coronavirus [16] #mhealth,#medicalimaging [14] develop,#healthit [14] prosumersoft,hubmedx [13] #mhealth,#digitalhealth [13] #artificialintelligence,#ai Top Word Pairs in Tweet in G5:
[49] jmir,mhealth [34] physical,activity [28] jmirpub,jmir [16] smartphone,apps [16] activity,people [16] people,rheumatoid [15] behavior,change [15] important,study [15] study,showing [15] showing,difficulty Top Word Pairs in Tweet in G6:
[7] mhealth,apps [7] randomized,controlled [7] controlled,trial [6] mhealth,telehealth [6] covid,19 [6] consumer,mhealth [5] telehealth,mhealth [5] addiction,treatment [5] public,health [5] mhealth,intervention Top Word Pairs in Tweet in G7:
[23] health,apps [22] assessment,frameworks [21] apps,assessment [17] health,app [16] #healthcare,#healthapps [15] report,health [15] #mhealth,#healthcare [14] digital,divide [12] divide,reinforces [12] reinforces,socioeconomic Top Word Pairs in Tweet in G8:
[22] smartphone,based [22] based,time [22] time,adaptive [21] fellowship,opening [21] opening,lab [21] lab,focused [21] focused,training [21] training,developing [21] developing,automated [21] automated,smartphone Top Word Pairs in Tweet in G9:
[31] #mygnuhealth,privacy [31] privacy,oriented [31] oriented,personal [31] personal,health [31] health,record [31] record,desktop [31] desktop,mobile [31] mobile,devices [31] devices,fully [31] fully,integrated Top Word Pairs in Tweet in G10:
[14] latest,edition [14] edition,mhealth [14] mhealth,daily [14] daily,thx [4] evaluation,criteria [4] criteria,weight [4] weight,management [4] management,apps [4] apps,validation [4] validation,using Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: