The graph represents a network of 3,010 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 23:06 UTC.
The tweets in the network were tweeted over the 2718-day, 14-hour, 43-minute period from Tuesday, 25 August 2015 at 10:15 UTC to Friday, 03 February 2023 at 00:58 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 : 3010
Unique Edges : 3151
Edges With Duplicates : 10688
Total Edges : 13839
Number of Edge Types : 9
Retweet : 3076
MentionsInRetweet : 4964
Tweet : 1067
Mentions : 2942
Replies to : 199
MentionsInQuote : 194
MentionsInReplyTo : 1237
Quote : 144
MentionsInQuoteReply : 16
Self-Loops : 2321
Reciprocated Vertex Pair Ratio : 0.0586178527354998
Reciprocated Edge Ratio : 0.110744122789975
Connected Components : 357
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 2188
Maximum Edges in a Connected Component : 12548
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.248089
Graph Density : 0.000568284073582133
Modularity : 0.325536
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,010 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 23:06 UTC.
The tweets in the network were tweeted over the 2718-day, 14-hour, 43-minute period from Tuesday, 25 August 2015 at 10:15 UTC to Friday, 03 February 2023 at 00:58 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:
[814] #healthtech,#smartcity [814] #datascientist,#csuite [813] #csuite,#digitalhealth [812] #digitalhealth,#web3 [811] #web3,#cx [811] #cx,#ehealth [797] #smartcity,#5g [797] #vive2023,#healthtech [797] #5g,#datascientist [498] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[688] #datascientist,#csuite [688] #healthtech,#smartcity [687] #digitalhealth,#web3 [687] #csuite,#digitalhealth [686] #cx,#ehealth [686] #web3,#cx [675] #smartcity,#5g [675] #5g,#datascientist [668] #vive2023,#healthtech [377] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[186] #web3,#metaverse [138] #tech,#innovation [120] #innovation,#technology [113] #csuite,#digitalhealth [113] #healthtech,#smartcity [113] #datascientist,#csuite [112] #cx,#ehealth [112] #nlp,#tech [112] #digitalhealth,#web3 [112] #web3,#cx Top Word Pairs in Tweet in G3:
[49] digital,health [29] #digitalhealth,#ehealth [27] sit,down [25] #startups,future [25] solving,#healthcare's [25] awesome,sit [25] ills,awesome [25] future,solving [25] greatest,ills [25] #healthcare's,greatest Top Word Pairs in Tweet in G4:
[36] digital,health [21] daily,#digitalhealth [15] #digital,#digitalhealth [15] #digitalhealth,#health [11] learn,more [11] #digitalhealth,#healthcare [10] #smartcity,#digital [7] #flutter,#serverless [7] #cloud,#ai [7] #digitalhealth,#healthtech Top Word Pairs in Tweet in G5:
[124] lothar,wieler [122] wieler,mikrowie [117] prof,lothar [116] april,2023 [112] präsident,prof [112] rki_de,präsident [111] h_p_foundation,ernennt [111] ernennt,rki_de [111] die,h_p_foundation [111] big,news Top Word Pairs in Tweet in G6:
[22] #cloud,#ai [21] dm,#algorithms [21] recover,account [21] #wearables,#health [21] hack,recover [21] #datascience,#python [21] #python,#cloud [21] alleging,goodrx [21] #algorithms,#wearables [21] #health,#datascience Top Word Pairs in Tweet in G7:
[218] available,use [218] ready,available [218] #blockchain,#ai [218] use,#blockchain [218] #ai,ready [216] #ai,#saa [216] safezonefinance,#ai [2] #saas,#datasecurity [2] #web3,#vr [2] #flutter,#javascript Top Word Pairs in Tweet in G8:
[16] first,unplugged [14] full,story [12] ceases,exist [12] landscape,ceases [12] time,key [12] long,time [12] exist,having [12] part,nhs [12] nhs,landscape [12] nhsdigital,long Top Word Pairs in Tweet in G9:
[17] arorashmd,einsteinmed [15] stjohnsresearch,panel [12] #digitalhealth,#innovation [11] panel,#dhil [11] #science,based [11] based,approach [11] #innovation,arorashmd [11] einsteinmed,profmohanan [11] #dhil,#science [11] approach,#digitalhealth Top Word Pairs in Tweet in G10:
[14] hand,hand [14] #eucancerplan,honored [14] hand,sweden2023eu [14] sweden2023eu,behalf [14] conference,organised [14] participate,hybrid [14] hybrid,conference [14] honored,participate [14] organised,hand [13] ndodlek,#eucancerplan Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: