The graph represents a network of 1,736 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 03:11 UTC.
The tweets in the network were tweeted over the 3033-day, 9-hour, 24-minute period from Friday, 31 October 2014 at 15:35 UTC to Monday, 20 February 2023 at 01:00 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 : 1736
Unique Edges : 1611
Edges With Duplicates : 10117
Total Edges : 11728
Number of Edge Types : 9
Mentions : 1459
Retweet : 3264
MentionsInRetweet : 4949
Quote : 50
Replies to : 137
MentionsInReplyTo : 546
MentionsInQuote : 157
Tweet : 1165
MentionsInQuoteReply : 1
Self-Loops : 1766
Reciprocated Vertex Pair Ratio : 0.059044753666792
Reciprocated Edge Ratio : 0.111505681818182
Connected Components : 164
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1178
Maximum Edges in a Connected Component : 10575
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.57462
Graph Density : 0.000934939375024901
Modularity : 0.206983
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,736 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 2/19/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 20 February 2023 at 03:11 UTC.
The tweets in the network were tweeted over the 3033-day, 9-hour, 24-minute period from Friday, 31 October 2014 at 15:35 UTC to Monday, 20 February 2023 at 01:00 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:
[1377] #digitalhealth,#socialmedia [693] #socialmedia,#digitalmarketing [304] gt,gt [252] digital,health [177] #digitalmarketing,#ai [176] #ehealth,#mhealth [152] #mhealth,#healthtech [128] #digitalhealth,#wearables [123] series,wearablesexpert [123] #wearables,series Top Word Pairs in Tweet in G1:
[148] digital,health [143] #digitalhealth,#socialmedia [125] #ehealth,#mhealth [101] #telehealth,#telemedicine [98] #digitalhealth,#wearables [94] #wearables,series [94] series,wearablesexpert [93] #digitalhealth,#ehealth [75] #mhealth,#telehealth [58] wearablesexpert,talks Top Word Pairs in Tweet in G2:
[144] #digitalhealth,#socialmedia [56] gt,gt [46] digital,health [41] #socialmedia,#digitalmarketing [34] #mhealth,#hcsm [33] #ehealth,#mhealth [29] #digitalhealth,#wearables [28] series,wearablesexpert [28] #wearables,series [25] #hcsm,#hcsmeu Top Word Pairs in Tweet in G3:
[1052] #digitalhealth,#socialmedia [602] #socialmedia,#digitalmarketing [186] gt,gt [152] #digitalmarketing,#ai [112] #digitalmarketing,#iot [109] #healthtech,#mhealth [103] #mhealth,#iot [103] #ai,#healthtech [102] #mhealth,#healthtech [100] #iot,#ai Top Word Pairs in Tweet in G4:
[88] xa,consalud_es [88] consalud_es,sbr [57] problemas,co [57] viejos,problemas [57] tecnología,viejos [57] sbr,#inteligenciaartificial [57] nueva,tecnología [56] #mhealth,gracias [56] gracias,leer [44] r0do4g4und,xa Top Word Pairs in Tweet in G5:
[14] digital,health [6] health,industry [5] telehealth,mhealth [5] #ehealth,#mhealth [5] rising,demand [5] demand,telehealth [5] research,inc [5] grand,view [5] receive,impetus [5] impetus,rising Top Word Pairs in Tweet in G6:
[69] black,young [67] mental,health [63] health,technologies [63] mobile,mental [63] technologies,black [63] culturally,adapt [63] excited,share [63] paper,explores [63] share,paper [63] adapt,mobile Top Word Pairs in Tweet in G7:
[20] daily,thanks [19] latest,mhealth [19] mhealth,daily [3] #healthcare,#digitalhealth [2] nhs,millions [2] health,tech [2] digital,health [2] technologies,being [2] tech,mobile [2] #digitalhealth,#healthcare Top Word Pairs in Tweet in G8:
[16] #hcsm,#mhealth [8] negative,effects [8] antidepressants,people [8] first,offered [8] effects,drugs [8] people,told [8] told,potential [8] drugs,first [8] potential,negative [7] monyamyms,antidepressants Top Word Pairs in Tweet in G9:
[6] smsna_org,essm_tweets [5] issm_info,smsna_org [5] essm_tweets,saudi_mhealth [5] men's,health [5] usioffice,youthusi [4] #usicon23,usioffice [4] mesexualhealth,saudi_mhealth [4] health,club [4] 2023,9pm [4] mesexualhealth,issm_info Top Word Pairs in Tweet in G10:
[55] #medtwitter,#meded [39] line,treatments [39] #meded,#idtwitter [38] second,line [37] treatments,#medtwitter [36] first,second [27] giardiasis,first [27] #idtwitter,#pharmatwitter [26] #pharmatwitter,#bioinforma [26] apothera,giardiasis Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: