The graph represents a network of 1,910 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 23:06 UTC.
The tweets in the network were tweeted over the 1633-day, 12-hour, 43-minute period from Tuesday, 10 July 2018 at 12:16 UTC to Friday, 30 December 2022 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 : 1910
Unique Edges : 1855
Edges With Duplicates : 11960
Total Edges : 13815
Number of Edge Types : 9
Retweet : 2594
MentionsInRetweet : 3530
Replies to : 146
Tweet : 1051
MentionsInReplyTo : 1560
Mentions : 4725
Quote : 59
MentionsInQuote : 147
MentionsInQuoteReply : 3
Self-Loops : 3970
Reciprocated Vertex Pair Ratio : 0.0484702646957717
Reciprocated Edge Ratio : 0.0924590163934426
Connected Components : 250
Single-Vertex Connected Components : 148
Maximum Vertices in a Connected Component : 1379
Maximum Edges in a Connected Component : 13062
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.995752
Graph Density : 0.000836489595989238
Modularity : 0.188621
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,910 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 23:06 UTC.
The tweets in the network were tweeted over the 1633-day, 12-hour, 43-minute period from Tuesday, 10 July 2018 at 12:16 UTC to Friday, 30 December 2022 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:
[1861] #web3,#cx [1860] #healthtech,#smartcity [1860] #digitalhealth,#web3 [1859] #smartcity,#datascientist [1858] #datascientist,#csuite [1858] #csuite,#digitalhealth [1857] #ehealth,#finserv [1857] #cx,#ehealth [1180] chidambara09,#healthtech [956] #finserv,#clou Top Word Pairs in Tweet in G1:
[1682] #web3,#cx [1682] #healthtech,#smartcity [1682] #digitalhealth,#web3 [1682] #csuite,#digitalhealth [1682] #cx,#ehealth [1682] #ehealth,#finserv [1680] #datascientist,#csuite [1680] #smartcity,#datascientist [1002] chidambara09,#healthtech [872] #finserv,#cloud Top Word Pairs in Tweet in G2:
[35] #cloud,#ai [33] #wearables,#health [33] #datascience,#python [33] #python,#cloud [33] #algorithms,#wearables [33] #health,#datascience [32] #web3,#cx [31] #smartcity,#datascientist [31] #digitalhealth,#web3 [30] #datascientist,#csuite Top Word Pairs in Tweet in G3:
[70] #digitalhealth,#healthcare [62] #healthtech,#digitalhealth [59] #ces,#healthtech [59] #ces2023,#ces [58] #healthcare,#medtech [54] #medtech,ces [46] ces,inverita_ [17] ces,2023 [16] digital,health [13] 2023,inverita_ Top Word Pairs in Tweet in G4:
[253] #digital,#digitalhealth [246] #digitalhealth,#ehealth [219] #smartcity,#digital [69] chidambara09,#healthtech [69] digital,health [68] #datascientist,#csuite [68] #smartcity,#datascientist [68] #healthtech,#smartcity [67] #ehealth,#finserv [67] #web3,#cx Top Word Pairs in Tweet in G5:
[25] digital,health [22] #digital,#digitalhealth [17] #digitalhealth,#health [15] #socialmedia,#digital [12] #digitalhealth,#healthcare [11] reorganisations,nhs [11] pointless,reorganisations [11] stop,pointless [10] let's,stop [10] daily,#digitalhealth Top Word Pairs in Tweet in G6:
[77] #digital,#digitalhealth [70] #digitalhealth,#socialmedia [70] #digitalhealth,#digital [62] #digitalhealth,#web3 [62] #ehealth,#finserv [62] #cx,#ehealth [62] #healthtech,#smartcity [62] #csuite,#digitalhealth [62] #datascientist,#csuite [62] chidambara09,#healthtech Top Word Pairs in Tweet in G7:
[56] #cloud,#ai [50] #wearables,#health [50] #datascience,#python [50] #algorithms,#wearables [50] #health,#datascience [50] #python,#cloud [46] #ai,#flutter [44] dm,#algorithms [44] hack,recover [44] recover,account Top Word Pairs in Tweet in G8:
[11] language,model [11] health,records [11] large,language [11] #chatgpt,#digitalhealth [11] #gpt3,#chatgpt [11] records,#gpt3 [11] model,electronic [11] electronic,health [11] #digitalhealth,#ehr [10] johnnosta,large Top Word Pairs in Tweet in G9:
[38] #medtwitter,#meded [37] managing,febrile [37] seizures,#neurologia [37] febrile,seizures [37] #neurologia,#neurotwitter [37] #neurology,#medtwitter [37] #epilepsy,#neurology [37] #neurotwitter,#epilepsy [36] apothera,managing [36] #meded,#medicale Top Word Pairs in Tweet in G10:
[18] holders,use [18] 'scan,share [18] quick,'scan [18] avail,facility [18] enabled,quick [18] #abdm,enabled [18] service',abha [18] share,opd [18] registration,service' [18] facility,#abdm Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: