The graph represents a network of 2,771 Twitter users whose recent tweets contained "digitalhealth", 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 23:09 UTC.
The tweets in the network were tweeted over the 1674-day, 2-hour, 58-minute period from Wednesday, 01 August 2018 at 22:01 UTC to Friday, 03 March 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 : 2771
Unique Edges : 3047
Edges With Duplicates : 11280
Total Edges : 14327
Number of Edge Types : 9
Tweet : 1395
Retweet : 2567
MentionsInRetweet : 4349
Mentions : 3257
Quote : 390
MentionsInQuote : 793
MentionsInReplyTo : 1397
Replies to : 178
MentionsInQuoteReply : 1
Self-Loops : 3164
Reciprocated Vertex Pair Ratio : 0.063627730294397
Reciprocated Edge Ratio : 0.119642857142857
Connected Components : 452
Single-Vertex Connected Components : 218
Maximum Vertices in a Connected Component : 1546
Maximum Edges in a Connected Component : 12301
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.879187
Graph Density : 0.000583662403412341
Modularity : 0.2801
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,771 Twitter users whose recent tweets contained "digitalhealth", 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 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 23:09 UTC.
The tweets in the network were tweeted over the 1674-day, 2-hour, 58-minute period from Wednesday, 01 August 2018 at 22:01 UTC to Friday, 03 March 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 : digitalhealth
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] #vive2023,#healthtech [1061] #digitalhealth,#web3 [1060] #healthtech,#smartcity [1050] #csuite,#digitalhealth [1041] #smartcity,#ata2023 [1040] #web3,#cx [1040] #datascientist,#csuite [1021] #ata2023,#datascientist [615] chidambara09,#vive2023 [595] #cx,#ehea Top Word Pairs in Tweet in G1:
[967] #vive2023,#healthtech [966] #healthtech,#smartcity [965] #digitalhealth,#web3 [958] #csuite,#digitalhealth [949] #smartcity,#ata2023 [949] #datascientist,#csuite [949] #web3,#cx [932] #ata2023,#datascientist [527] chidambara09,#vive2023 [517] #cx,#ehea Top Word Pairs in Tweet in G2:
[52] #digital,#digitalhealth [49] #digitalhealth,#health [44] #smartcity,#digital [21] #machinelearning,#ai [20] #cloud,#smarthome [20] #rstats,#rectajs [20] #iot,#nlp [20] #analytics,#5g [20] #bigdata,#cloud [20] #tensorflow,#bigdata Top Word Pairs in Tweet in G3:
[17] digital,health [16] nhs,foundation [16] foundation,trust [14] full,story [12] million,electronic [12] guy,st [12] delayed,implementation [12] 450,million [12] implementation,450 [12] st,thomas Top Word Pairs in Tweet in G4:
[57] digital,health [44] #health,#healthcareit [44] #healthcareit,#ehealth [43] #healthcare,#digitalhealth [41] #ehealth,#healthcare [27] #digitalhealth,#ehealth [23] #ehealth,#telehealth [20] #healthcare,#healthcareit [19] #healthcareit,#digitalhealth [18] #telehealth,#telemedicine Top Word Pairs in Tweet in G5:
[22] digital,health [11] #health,#healthcare [8] pitch,battle [8] health,pitch [7] many,friends [7] afbarbiero,taniacaballe [7] team,reunited [7] itot,many [7] #mwc2023,thanks [7] #digitalhealth,barcelona Top Word Pairs in Tweet in G6:
[389] #digitalhealth,#socialmedia [277] #socialmedia,#digitalmarketing [184] #digital,#digitalhealth [162] #digitalhealth,#health [121] #smartcity,#digital [71] #smartcity,#ata2023 [71] #healthtech,#smartcity [71] #digitalhealth,#web3 [71] #csuite,#digitalhealth [71] #vive2023,#healthtech Top Word Pairs in Tweet in G7:
[8] #digital,#5g [6] medicine,exponential [6] medical,device [6] highlights,potential [6] individuals,stay [6] #digitalhealth,technology [6] 4p,eastern [6] potential,benefits [6] compelling,story [6] benefits,#digitalhealth Top Word Pairs in Tweet in G8:
[10] digital,clinical [10] brunolarvol,founder [10] lead,digital [10] provide,operational [10] band,8a [10] 8a,lead [10] ahp,provide [10] ceo,larvol [10] operational,leadership [10] dynamic,nurse Top Word Pairs in Tweet in G9:
[43] #medtwitter,#meded [35] #bioinformatics,#mhealth [33] #meded,#bioinformatics [27] #mhealth,#digitalhealth [25] treatments,#medtwitter [24] line,treatments [23] first,line [21] #digitalhealth,#pharmatwitter [18] apothera,ivig [16] overdose,treatments Top Word Pairs in Tweet in G10:
[13] health,app [10] information,#myhealthrecord [8] share,key [8] #myhealthrecord,medicines [8] app,view [8] health,information [8] view,share [8] key,health [7] audigitalhealth,health [7] medicines,prescript Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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: