The graph represents a network of 1,896 Twitter users whose recent tweets contained "mhealth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 03:10 UTC.
The tweets in the network were tweeted over the 2937-day, 12-hour, 7-minute period from Wednesday, 28 January 2015 at 11:19 UTC to Sunday, 12 February 2023 at 23:27 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1896
Unique Edges : 1781
Edges With Duplicates : 10251
Total Edges : 12032
Number of Edge Types : 9
Retweet : 3145
MentionsInRetweet : 5002
Mentions : 1787
Replies to : 161
Quote : 51
MentionsInQuote : 131
MentionsInReplyTo : 584
Tweet : 1168
MentionsInQuoteReply : 3
Self-Loops : 1862
Reciprocated Vertex Pair Ratio : 0.0548926014319809
Reciprocated Edge Ratio : 0.104072398190045
Connected Components : 171
Single-Vertex Connected Components : 82
Maximum Vertices in a Connected Component : 1480
Maximum Edges in a Connected Component : 11253
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.948118
Graph Density : 0.000861138015875667
Modularity : 0.219304
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,896 Twitter users whose recent tweets contained "mhealth", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 03:10 UTC.
The tweets in the network were tweeted over the 2937-day, 12-hour, 7-minute period from Wednesday, 28 January 2015 at 11:19 UTC to Sunday, 12 February 2023 at 23:27 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[901] #digitalhealth,#socialmedia [436] #socialmedia,#digitalmarketing [261] #ehealth,#mhealth [251] digital,health [240] gt,gt [176] #digitalhealth,#wearables [173] #digitalhealth,#ehealth [162] #wearables,series [162] #telehealth,#telemedicine [161] mental,health Top Word Pairs in Tweet in G1:
[187] #ehealth,#mhealth [139] digital,health [137] #telehealth,#telemedicine [136] #digitalhealth,#wearables [133] #digitalhealth,#socialmedia [128] #digitalhealth,#ehealth [124] #wearables,series [122] series,wearablesexpert [104] #mhealth,#telehealth [72] wearablesexpert,talks Top Word Pairs in Tweet in G2:
[101] #digitalhealth,#socialmedia [50] #ehealth,#mhealth [47] digital,health [46] gt,gt [45] #mhealth,#hcsm [40] #digitalhealth,#wearables [38] #wearables,series [38] series,wearablesexpert [33] #mhealth,#digitalhealth [33] #hcsm,#hcsmeu Top Word Pairs in Tweet in G3:
[643] #digitalhealth,#socialmedia [365] #socialmedia,#digitalmarketing [150] gt,gt [83] #digitalmarketing,#ai [73] #iot,#industry40 [72] #mhealth,#healthtech [68] #mhealth,#hcsm [66] #ai,#iot [64] #mhealth,#iot [64] #iot,#healthtech Top Word Pairs in Tweet in G4:
[140] consalud_es,sbr [140] xa,consalud_es [107] gracias,leer [105] #mhealth,gracias [80] #saludmental,#mhealth [77] alerta,co [77] sbr,#saludmental [77] primera,alerta [56] nueva,tecnología [56] tecnología,viejos Top Word Pairs in Tweet in G5:
[19] digital,health [8] mhealth,apps [6] mhealth,market [5] pacific,mhealth [5] asia,pacific [5] mobile,health [4] medical,devices [4] older,adults [4] market,predicted [4] mhealth,intervention Top Word Pairs in Tweet in G6:
[62] share,paper [62] mobile,mental [62] black,young [62] explores,culturally [62] technologies,black [62] culturally,adapt [62] mental,health [62] health,technologies [62] adapt,mobile [62] excited,share Top Word Pairs in Tweet in G7:
[25] hoy,lista [25] gaceta,saludable [25] lista,gracias [25] saludable,hoy [20] iacta,disponible [20] alea,iacta [20] disponible,gracias [20] #lupus,#mhealth [15] #mhealth,#trauma [8] #mhealth,#últimahora Top Word Pairs in Tweet in G8:
[25] latest,mhealth [25] daily,thanks [25] mhealth,daily [3] #digitalhealth,#healthtech [3] #healthcare,#digitalhealth [3] #technology,#digitalhealth [2] #healthtech,#ehealth Top Word Pairs in Tweet in G9:
[26] advocate,thanks [26] latest,mhealth [26] mhealth,advocate [22] #digitalhealth,#healthtech [11] #digitalhealth,#ehealth [11] #medtech,#mhealth [9] #mhealth,#wearables [9] hubbucket,inc [8] #healthit,#medtech [7] #digitalhealth,#healthit Top Word Pairs in Tweet in G10:
[20] #hcsm,#mhealth [8] effects,drugs [8] drugs,first [8] antidepressants,people [8] first,offered [8] negative,effects [8] told,potential [8] potential,negative [8] people,told [7] monyamyms,antidepressants 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 Replied-To in G10:
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: