The graph represents a network of 1,605 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, 24 January 2022 at 02:45 UTC.
The requested start date was Monday, 24 January 2022 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 11-day, 9-hour, 50-minute period from Monday, 10 January 2022 at 01:50 UTC to Friday, 21 January 2022 at 11:40 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 : 1605
Unique Edges : 1630
Edges With Duplicates : 7685
Total Edges : 9315
Number of Edge Types : 5
Retweet : 2807
MentionsInRetweet : 4421
Tweet : 893
Mentions : 1104
Replies to : 90
Self-Loops : 958
Reciprocated Vertex Pair Ratio : 0.0582660582660583
Reciprocated Edge Ratio : 0.110116086235489
Connected Components : 132
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 1240
Maximum Edges in a Connected Component : 8739
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.677573
Graph Density : 0.0011711375766192
Modularity : 0.264165
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,605 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, 24 January 2022 at 02:45 UTC.
The requested start date was Monday, 24 January 2022 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 11-day, 9-hour, 50-minute period from Monday, 10 January 2022 at 01:50 UTC to Friday, 21 January 2022 at 11:40 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:
[834] #digitalhealth,#socialmedia [437] #socialmedia,#digitalmarketing [236] gt,gt [201] gave,kred [201] kred,#influence [161] eli_krumova,gave [151] digital,health [148] #iot,#iiot [143] #ehealth,#mhealth [142] #machinelearning,#ai Top Word Pairs in Tweet in G1:
[698] #digitalhealth,#socialmedia [384] #socialmedia,#digitalmarketing [198] gt,gt [165] gave,kred [165] kred,#influence [125] eli_krumova,gave [108] #iot,#iiot [101] #healthit,#healthtech [95] #ehealth,#mhealth [92] #machinelearning,#ai Top Word Pairs in Tweet in G2:
[97] #digitalhealth,#socialmedia [85] #mhealth,#hcsm [77] #hcsm,#hcsmeu [36] gt,gt [36] digital,health [34] #socialmedia,#digitalmarketing [34] #mhealth,#digitalhealth [29] #mhealth,#patientpayments [27] #digitalhealth,#mhealth [23] #hcldr,#hcsm Top Word Pairs in Tweet in G3:
[49] #mhealth,#digitalhealth [48] mirar,hacia [48] hacia,virus [48] virus,consalud_es [48] consalud_es,co [48] co,9jdlyzmk3h [48] 9jdlyzmk3h,xa [48] xa,consalud_es [48] consalud_es,sbr [48] sbr,#mhealth Top Word Pairs in Tweet in G4:
[6] mhealth,intervention [6] デジタル患者監視デバイス市場ータイプ別,テレヘルス [6] テレヘルス,ワイヤレスセンサーテクノロジー [6] ワイヤレスセンサーテクノロジー,mhealth [4] intervention,support [4] support,parenting [4] parenting,self [4] self,efficacy [4] efficacy,nicu [4] nicu,admission Top Word Pairs in Tweet in G5:
[17] #digitalhealth,#socialmedia [16] czech,republic [14] #mhealth,#mobilehealth [11] #europeanmhealthhub,#mhealth [9] republic,workshop [9] #socialmedia,#digitalmarketing [8] welcome,#europeanmhealthhub [6] thank,joining [6] joining,internal [6] internal,#mhealth Top Word Pairs in Tweet in G6:
[36] find,more [34] digital,health [21] state,#digitalhealth [21] #digitalhealth,johnnosta [21] johnnosta,glfceo [21] glfceo,gil_bashe [21] gil_bashe,wearablesexpert [21] wearablesexpert,youtube [21] youtube,channel [21] channel,find Top Word Pairs in Tweet in G7:
[32] jmir,mhealth [24] jmirpub,jmir [20] evidence,based [19] pregnancy,exercise [19] exercise,apps [15] based,content [14] #mobile,#health [13] #health,apps [12] systematic,review [10] latest,paper Top Word Pairs in Tweet in G8:
[57] re,nocklabharvard [57] nocklabharvard,hiring [57] hiring,data [57] data,scientist [57] scientist,analyst [57] analyst,work [57] work,#mhealth [57] #mhealth,studies [57] studies,using [57] using,smartphone Top Word Pairs in Tweet in G9:
[11] latest,mhealth [11] mhealth,daily [11] daily,thanks [8] #digitalhealth,#socialmedia [5] mental,health [4] health,apps [4] #digitalhealth,#healthtech [4] #socialmedia,#digitalmarketing [2] therapy4theppl,psyberguide [2] psyberguide,great Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: