The graph represents a network of 1,817 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, 17 January 2022 at 02:46 UTC.
The requested start date was Monday, 17 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 13-day, 9-hour, 43-minute period from Monday, 03 January 2022 at 02:31 UTC to Sunday, 16 January 2022 at 12:15 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 : 1817
Unique Edges : 1933
Edges With Duplicates : 9036
Total Edges : 10969
Number of Edge Types : 5
Mentions : 1292
Retweet : 3367
MentionsInRetweet : 5197
Tweet : 1010
Replies to : 103
Self-Loops : 1072
Reciprocated Vertex Pair Ratio : 0.0462272591708917
Reciprocated Edge Ratio : 0.088369441277081
Connected Components : 143
Single-Vertex Connected Components : 73
Maximum Vertices in a Connected Component : 1419
Maximum Edges in a Connected Component : 10359
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.911363
Graph Density : 0.0010631359723027
Modularity : 0.263242
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,817 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, 17 January 2022 at 02:46 UTC.
The requested start date was Monday, 17 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 13-day, 9-hour, 43-minute period from Monday, 03 January 2022 at 02:31 UTC to Sunday, 16 January 2022 at 12:15 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:
[1064] #digitalhealth,#socialmedia [506] #socialmedia,#digitalmarketing [258] #machinelearning,#ai [240] gt,gt [221] gave,kred [221] kred,#influence [215] #rstats,#reactjs [182] #reactjs,#iot [172] eli_krumova,gave [171] #mhealth,#digitalhealth Top Word Pairs in Tweet in G1:
[96] #digitalhealth,#socialmedia [45] gt,gt [35] #mhealth,#digitalhealth [34] #mhealth,#hcsm [32] #socialmedia,#digitalmarketing [31] #mhealth,#patientpayments [30] digital,health [29] #hcsm,#hcsmeu [25] #ehealth,#mhealth [22] mhealth,app Top Word Pairs in Tweet in G2:
[193] #machinelearning,#ai [159] #rstats,#reactjs [134] #reactjs,#iot [123] #ai,#python [112] #analytics,#machinelearning [93] #python,#rstats [86] #digitalhealth,#socialmedia [80] #analyics,#machinelearning [65] #ai,#rstats [53] #healthit,#healthtech Top Word Pairs in Tweet in G3:
[160] gave,kred [160] kred,#influence [111] eli_krumova,gave [97] #iot,#iiot [97] #digitalhealth,#socialmedia [88] #ehealth,#mhealth [80] #mhealth,#telehealth [74] #medtech,#healthit [73] #iiot,#iotpl [68] #dhpsp,#hospitalstalktolovedones Top Word Pairs in Tweet in G4:
[716] #digitalhealth,#socialmedia [386] #socialmedia,#digitalmarketing [148] gt,gt [85] #digitalmarketing,#ai [77] #iot,#industry40 [72] #digitalmarketing,#iot [71] #ai,#healthtech [70] #healthtech,#iot [68] digital,health [68] #socialmedia,#digitalm Top Word Pairs in Tweet in G5:
[5] wearablesexpert,digitalhealth2 [4] digital,health [4] digitalhealth2,dhealthldn [4] mhealth,nodexl [4] nodexl,caring_mobile [4] caring_mobile,analytics_699 [4] analytics_699,_sivasai [4] _sivasai,_timos_ [4] _timos_,firas_sarhan1 [4] firas_sarhan1,thl_medical Top Word Pairs in Tweet in G6:
[5] мейкер,тест [5] lack,mhealth [5] mhealth,technologies [5] technologies,disrupts [5] disrupts,workflows [5] workflows,hospitalists [5] mhealth,intervention [4] mhealth,app [4] digital,health [4] intervention,support Top Word Pairs in Tweet in G7:
[39] jmir,mhealth [30] jmirpub,jmir [12] systematic,review [10] #mobile,#health [10] #health,apps [9] mole's,veggie [9] veggie,adventures [9] hyviä,uutisia [9] uutisia,myyräpelin [9] myyräpelin,käyttö Top Word Pairs in Tweet in G8:
[54] re,nocklabharvard [54] nocklabharvard,hiring [54] hiring,data [54] data,scientist [54] scientist,analyst [54] analyst,work [54] work,#mhealth [54] #mhealth,studies [54] studies,using [54] using,smartphone Top Word Pairs in Tweet in G9:
[95] mirar,hacia [95] hacia,virus [95] virus,consalud_es [95] consalud_es,co [95] co,9jdlyzmk3h [95] 9jdlyzmk3h,xa [95] xa,consalud_es [95] consalud_es,sbr [95] sbr,#mhealth [95] #mhealth,#digitalhealth Top Word Pairs in Tweet in G10:
[13] latest,mhealth [13] mhealth,daily [13] daily,thanks [4] #digitalhealth,#healthcare [3] #digitalhealth,#healthtech 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 G4:
Top Replied-To in G7:
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: