The graph represents a network of 1,703 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, 06 September 2021 at 01:47 UTC.
The requested start date was Monday, 06 September 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, 12-hour, 6-minute period from Monday, 23 August 2021 at 00:06 UTC to Sunday, 05 September 2021 at 12:13 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 : 1703
Unique Edges : 1481
Edges With Duplicates : 9516
Total Edges : 10997
Number of Edge Types : 5
Retweet : 3695
MentionsInRetweet : 4673
Mentions : 1339
Tweet : 1212
Replies to : 78
Self-Loops : 1291
Reciprocated Vertex Pair Ratio : 0.0514120202751629
Reciprocated Edge Ratio : 0.0977961432506887
Connected Components : 177
Single-Vertex Connected Components : 105
Maximum Vertices in a Connected Component : 1218
Maximum Edges in a Connected Component : 9484
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.759965
Graph Density : 0.00100189545924694
Modularity : 0.231543
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 1,703 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, 06 September 2021 at 01:47 UTC.
The requested start date was Monday, 06 September 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, 12-hour, 6-minute period from Monday, 23 August 2021 at 00:06 UTC to Sunday, 05 September 2021 at 12:13 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:
[954] #digitalhealth,#socialmedia [463] #rstats,#reactjs [411] #socialmedia,#digitalmarketing [383] #reactjs,#iot [357] #iot,#iiot [290] #ai,#rstats [283] #machinelearning,#ai [250] #ehealth,#mhealth [243] #iiot,#ml [239] #analytics,#machinelearning Top Word Pairs in Tweet in G1:
[156] #digitalhealth,#socialmedia [64] gt,gt [62] #mhealth,#digitalhealth [47] #ehealth,#mhealth [46] #mhealth,#hcsm [39] #mhealth,#healthcare [36] #hcsm,#hcsmeu [34] digital,health [32] covid,19 [31] healthcare,billing Top Word Pairs in Tweet in G2:
[419] #rstats,#reactjs [348] #reactjs,#iot [317] #iot,#iiot [261] #ai,#rstats [258] #machinelearning,#ai [221] #iiot,#ml [219] #analytics,#machinelearning [178] #python,#rstats [120] #analytics,#ai [116] #ai,#machinelearning Top Word Pairs in Tweet in G3:
[44] wef,enricomolinari [30] enricomolinari,#ehealth [26] #ehealth,#mhealth [20] study,shows [20] shows,countries [20] countries,eat [20] eat,meat [20] meat,#efood [20] #efood,#meddiet [20] #meddiet,wef Top Word Pairs in Tweet in G4:
[13] журнал,mhealth [13] men's,health [11] mhealth,men's [7] mhealth,apps [7] mhealth,app [6] covid,19 [5] #digitalhealth,#mhealth [5] mobile,health [4] telehealth,mhealth [4] community,health Top Word Pairs in Tweet in G5:
[744] #digitalhealth,#socialmedia [375] #socialmedia,#digitalmarketing [140] #healthtech,#mhealth [126] gt,gt [80] #mhealth,#ai [80] #digitalhealth,#healthtech [77] #ai,#iot [74] #digitalmarketing,#industry40 [73] #digitalmarketing,#ai [70] #iot,#mhealth Top Word Pairs in Tweet in G6:
[69] 실제,터널 [69] 터널,증후군이 [69] 증후군이,있는 [69] 있는,건 [69] 건,높은 [69] 높은,확률로 [69] 확률로,잘 [69] 잘,찾아주는데 [69] 찾아주는데,거짓 [69] 거짓,양성도 Top Word Pairs in Tweet in G7:
[28] #digitalhealth,#wearables [28] #wearables,series [21] #ehealth,#mhealth [18] #digitalhealth,#mhealth [14] #rstats,#reactjs [12] artificial,intelligence [12] digital,health [12] #reactjs,#iot [10] watch,sponsored [10] #mhealth,#digitalhealth Top Word Pairs in Tweet in G8:
[73] #mhealth,#hcsm [71] #hcsm,#hcsmeu [13] latest,mhealth [13] mhealth,daily [13] daily,thanks [10] systematic,review [9] digital,mhealth [9] mhealth,interventions [9] interventions,employees [9] employees,systematic Top Word Pairs in Tweet in G9:
[29] jmir,mhealth [26] jmirpub,jmir [13] uptake,covid [13] covid,19 [13] 19,contact [13] contact,tracing [13] tracing,apps [12] research,team [12] team,paper [12] paper,jmirpub Top Word Pairs in Tweet in G10:
[16] #healthit,#healthtech [14] #healthtech,#digitalhealth [14] #digitalhealth,#medtech [12] #digitalhealth,#socialmedia [9] #medtech,#mhealth [6] 21st,century [6] century,first [6] first,responder [6] responder,learn [6] learn,#drones Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: