The graph represents a network of 2,062 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, 05 July 2021 at 01:45 UTC.
The requested start date was Monday, 05 July 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, 3-minute period from Monday, 21 June 2021 at 00:15 UTC to Sunday, 04 July 2021 at 12:18 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 : 2062
Unique Edges : 1867
Edges With Duplicates : 10484
Total Edges : 12351
Number of Edge Types : 5
Mentions : 1423
Retweet : 4252
MentionsInRetweet : 5222
Tweet : 1377
Replies to : 77
Self-Loops : 1506
Reciprocated Vertex Pair Ratio : 0.0538393645189762
Reciprocated Edge Ratio : 0.102177554438861
Connected Components : 171
Single-Vertex Connected Components : 97
Maximum Vertices in a Connected Component : 1618
Maximum Edges in a Connected Component : 11247
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.911488
Graph Density : 0.000842866763518693
Modularity : 0.247593
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,062 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, 05 July 2021 at 01:45 UTC.
The requested start date was Monday, 05 July 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, 3-minute period from Monday, 21 June 2021 at 00:15 UTC to Sunday, 04 July 2021 at 12:18 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:
[1048] #digitalhealth,#socialmedia [448] #socialmedia,#digitalmarketing [393] #rstats,#reactjs [319] #reactjs,#iot [297] #ehealth,#mhealth [290] gt,gt [273] #python,#rstats [272] #ai,#python [259] #digitalhealth,#mhealth [229] #linux,#serverless Top Word Pairs in Tweet in G1:
[830] #digitalhealth,#socialmedia [402] #socialmedia,#digitalmarketing [205] gt,gt [167] #mhealth,#healthtech [164] #digitalhealth,#mhealth [103] #mhealth,#medtech [102] #medtech,#meded [102] #meded,#pharma [98] digital,health [98] visión,orillas Top Word Pairs in Tweet in G2:
[181] #digitalhealth,#socialmedia [85] #ehealth,#mhealth [65] #digitalhealth,#mhealth [60] gt,gt [50] digital,health [41] #mhealth,#hcsm [39] covid,19 [35] #socialmedia,#digitalmarketing [33] #hcsm,#hcsmeu [32] #mhealth,#digitalhealth Top Word Pairs in Tweet in G3:
[92] enricomolinari,#ehealth [54] mashable,enricomolinari [52] enricomolinari,#mhealth [50] visualcap,enricomolinari [48] #ai,#iot [45] #ehealth,#ai [43] #fintech,#finserv [41] statistacharts,enricomolinari [38] #ehealth,#mhealth [34] #mhealth,#fintech Top Word Pairs in Tweet in G4:
[289] #rstats,#reactjs [241] #reactjs,#iot [197] #python,#rstats [196] #ai,#python [163] #linux,#serverless [157] #iot,#iiot [150] #vr,#mr [144] #analytics,#ar [144] #ar,#vr [143] #mr,#ai Top Word Pairs in Tweet in G5:
[11] mhealth,apps [9] #digitalhealth,#mhealth [6] журнал,mhealth [6] mhealth,men's [6] men's,health [5] mobile,health [5] ux,best [5] best,practice [5] practice,#healthapps [5] #mhealth,#healthtech Top Word Pairs in Tweet in G6:
[15] mhealth,daily [13] latest,mhealth [13] daily,thanks [7] #digitalhealth,#healthcare [5] #healthcare,#digitalhealth [4] mhealth,app [2] latest,edition [2] edition,mhealth [2] daily,thx [2] thx,sydneyroy2 Top Word Pairs in Tweet in G7:
[15] jmir,mhealth [10] jmirpub,jmir [7] defeat,#depression [7] #depression,campaign [7] campaign,successfully [7] successfully,created [7] created,narrative [7] narrative,adopted [7] adopted,prescribers [7] prescribers,anxiety Top Word Pairs in Tweet in G8:
[23] rafac_mhealth,comdtac [22] comdtac,aircadets [21] cushmanfreya,flyingwithzain [21] aircadets,clairesarsfield [21] clairesarsfield,rafac_mhwr [20] flyingwithzain,agkc06 [20] agkc06,rafac_mhealth [20] wso5_semidlands,cushmanfreya [19] lindastamp3,rubina_b_ [18] dawnmccaff,lindastamp3 Top Word Pairs in Tweet in G9:
[35] #healthit,#healthtech [32] #healthtech,#digitalhealth [27] #digitalhealth,#medtech [27] #medtech,#mhealth [18] #ai,#python [18] #python,#rstats [18] #machinelearning,#ai [17] #artificialintelligence,#ai [15] #rstats,#reactjs [14] hubbucket,hubbucket Top Word Pairs in Tweet in G10:
[19] #mhealth,app [18] healthcare,locator [18] locator,sdk [17] build,#mhealth [17] app,makes [17] makes,difference [17] difference,those [17] those,disproportionately [17] disproportionately,affected [17] affected,pandemic Top Replied-To in Entire Graph:
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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: