The graph represents a network of 2,710 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 23:07 UTC.
The tweets in the network were tweeted over the 2753-day, 14-hour, 44-minute period from Tuesday, 25 August 2015 at 10:15 UTC to Friday, 10 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 : 2710
Unique Edges : 2754
Edges With Duplicates : 10287
Total Edges : 13041
Number of Edge Types : 8
Tweet : 1417
MentionsInReplyTo : 1342
Replies to : 199
Retweet : 2788
MentionsInRetweet : 4425
Mentions : 2499
MentionsInQuote : 214
Quote : 157
Self-Loops : 2582
Reciprocated Vertex Pair Ratio : 0.0680565540378625
Reciprocated Edge Ratio : 0.127439982050707
Connected Components : 370
Single-Vertex Connected Components : 190
Maximum Vertices in a Connected Component : 1769
Maximum Edges in a Connected Component : 11349
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.053996
Graph Density : 0.000607105738831475
Modularity : 0.293424
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,710 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 23:07 UTC.
The tweets in the network were tweeted over the 2753-day, 14-hour, 44-minute period from Tuesday, 25 August 2015 at 10:15 UTC to Friday, 10 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:
[623] #digitalhealth,#web3 [622] #healthtech,#smartcity [622] #csuite,#digitalhealth [622] #vive2023,#healthtech [622] #datascientist,#csuite [620] #web3,#cx [589] #smartcity,#ata2023 [588] #ata2023,#datascientist [517] #digitalhealth,#socialmedia [346] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[101] #artificialintelligence,#automation [83] #health,#healthcareit [80] #healthcare,#digitalhealth [80] #healthcareit,#ehealth [79] #data,#artificialintelligence [77] #ehealth,#healthcare [75] #digitalhealth,#socialmedia [69] #openai,#openaichatgpt [69] #openaichatgpt,#chatgpt [68] #chatgpt,#data Top Word Pairs in Tweet in G2:
[600] #datascientist,#csuite [600] #vive2023,#healthtech [600] #healthtech,#smartcity [600] #csuite,#digitalhealth [599] #digitalhealth,#web3 [597] #web3,#cx [567] #ata2023,#datascientist [567] #smartcity,#ata2023 [441] #digitalhealth,#socialmedia [324] chidambara09,#vive2023 Top Word Pairs in Tweet in G3:
[28] digital,health [16] daily,#digitalhealth [12] #digital,#digitalhealth [11] #algorithms,#wearables [11] #blockchain,#bigdata [11] #100daysofcode,#iot [11] #instagram,#cybersecurity [11] #health,#datascience [11] recover,account [11] #bigdata,#rstats Top Word Pairs in Tweet in G4:
[29] digital,health [9] galengrowth,finnpartners [9] together,best [9] yalemed,braindoc_mgh [9] health,officer [9] sr,vice [9] chief,digital [9] braindoc_mgh,join [9] join,sr [9] vice,president Top Word Pairs in Tweet in G5:
[60] bharat,digital [60] digital,mission [60] ayushman,bharat [58] components,ayushman [58] mission,designed [58] make,#digitalhealth [58] #digitalhealth,experience [58] designed,make [58] experience,better [38] drbharatippawar,components Top Word Pairs in Tweet in G6:
[23] next,week [11] digital,health [11] chief,architect [11] assistant,chief [11] johnmeredith,assistant [10] dhrewired,next [9] looking,forward [7] architect,dhcwales [7] chair,johnmeredith [7] dhcwales,director Top Word Pairs in Tweet in G7:
[16] full,story [8] #nhs,#socialcare [7] #nhsinnovcollabevent,access [7] #socialcare,professional [7] don,miss [7] help,ppl [7] safe,well [7] ppl,safe [7] founder,ceo [7] links,help Top Word Pairs in Tweet in G8:
[103] #healthtech,#healthcaretechnology [103] #digitalhealth,#healthit [103] #healthit,#healthtech [23] medcity,news [21] dose,regimens [20] #health,#healthcare [19] alcohol,withdrawal [19] regimens,alcohol [17] hit,consultant [13] iv,dose Top Word Pairs in Tweet in G9:
[9] leaders,#digitalhealth [6] ll,star [6] industry,tracking [6] day,share [6] #digitalhealth,industry [6] hiteawithgrace,honor [6] share,leaders [6] international,women [6] women,day [6] tracking,ll Top Word Pairs in Tweet in G10:
[15] news,alert [15] minorities,opportunities [15] women,ethnic [15] build,career [15] opportunities,build [15] career,growing [15] alert,women [15] growing,field [15] ethnic,minorities [14] field,#digitalhea Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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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: