The graph represents a network of 2,952 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 April 2020 at 01:40 UTC.
The requested start date was Monday, 06 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 6-hour, 13-minute period from Monday, 23 March 2020 at 04:15 UTC to Sunday, 05 April 2020 at 10:28 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 : 2952
Unique Edges : 4386
Edges With Duplicates : 3358
Total Edges : 7744
Number of Edge Types : 4
Mentions : 1642
MentionsInRetweet : 4694
Tweet : 1277
Replies to : 131
Self-Loops : 1277
Reciprocated Vertex Pair Ratio : 0.0376355988487934
Reciprocated Edge Ratio : 0.0725410710475784
Connected Components : 244
Single-Vertex Connected Components : 143
Maximum Vertices in a Connected Component : 2398
Maximum Edges in a Connected Component : 7071
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.846013
Graph Density : 0.000538033591111919
Modularity : 0.528669
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 2,952 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 April 2020 at 01:40 UTC.
The requested start date was Monday, 06 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 6-hour, 13-minute period from Monday, 23 March 2020 at 04:15 UTC to Sunday, 05 April 2020 at 10:28 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:
[481] gt,gt [279] #digitalhealth,#mhealth [273] covid,19 [168] sbr,#mhealth [168] xa,consalud_es [162] crisis,humanitaria [162] #mhealth,xa [159] gt,#digitalhealth [158] consalud_es,hoy [155] #mhealth,#hcsm Top Word Pairs in Tweet in G1:
[460] gt,gt [165] covid,19 [153] gt,#digitalhealth [153] #digitalhealth,#mhealth [152] #mhealth,#hcsm [106] #digitalhealth,#socialmedia [104] #socialmedia,#digitalmarketing [90] #mhealth,#healthtech [82] #hcsm,#hcsmeu [72] read,more Top Word Pairs in Tweet in G2:
[45] enricomolinari,#ehealth [42] 92,patients [42] patients,used [42] used,#watchman [42] #watchman,longer [42] longer,needed [42] needed,blood [42] blood,thinners [42] thinners,ty [42] ty,techinsider Top Word Pairs in Tweet in G3:
[143] re,working [142] working,lizzo [142] lizzo,surprises [142] surprises,sending [142] sending,over [142] over,lunch [142] lunch,anyone [141] mhealthfairview,moment [129] moment,youâ [129] youâ,re Top Word Pairs in Tweet in G4:
[96] #healthit,#healthtech [83] #healthtech,#medtech [80] #medtech,#mhealth [63] hubbucket,inc [61] prosumersoft,llc [59] subsidiary,prosumersoft [52] inc,subsidiary [51] develop,#healthit [48] #mhealth,#medical [47] llc,develop Top Word Pairs in Tweet in G5:
[20] ãƒ,ム[14] covid,19 [14] mhealth,market [13] market,next [13] next,big [13] big,thing [13] thing,major [13] major,giants [13] giants,jawbone [13] jawbone,apple Top Word Pairs in Tweet in G6:
[167] sbr,#mhealth [167] xa,consalud_es [161] crisis,humanitaria [161] #mhealth,xa [158] consalud_es,hoy [90] gestión,crisis [90] humanitaria,sbr [73] dralfonsovidal,gestión [71] gestiã,crisis [71] humanitaria,ðÿœ Top Word Pairs in Tweet in G7:
[29] jmir,mhealth [20] virtual,conference [12] very,exciting [12] exciting,see [12] see,first [12] first,paper [12] paper,group [12] group,joannacollaton [12] joannacollaton,nicole_kozloff [12] nicole_kozloff,avoineskos Top Word Pairs in Tweet in G8:
[17] hosting,free [11] #covid19,#mhealth [11] #digitalhealth,resources [11] vulnerable,communities [11] thecsp,launched [10] work,vulnerable [10] communities,patients [10] patients,longer [10] longer,see [10] see,due Top Word Pairs in Tweet in G9:
[14] latest,edition [14] edition,mhealth [14] mhealth,daily [14] daily,thx [12] enough,great [12] great,app [12] app,cardiosmart [12] cardiosmart,teaching [12] teaching,tool [12] tool,pts Top Word Pairs in Tweet in G10:
[9] mighcommission,ylvajohansson [7] video,data [7] data,scientist [7] scientist,ethicist [7] ethicist,discuss [7] discuss,pros [7] pros,cons [7] cons,mining [7] mining,cellphone [7] cellphone,location Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: