The graph represents a network of 2,781 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 23:07 UTC.
The tweets in the network were tweeted over the 1290-day, 22-hour, 2-minute period from Tuesday, 30 July 2019 at 02:57 UTC to Friday, 10 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 : 2781
Unique Edges : 2730
Edges With Duplicates : 11606
Total Edges : 14336
Number of Edge Types : 8
MentionsInRetweet : 4794
Replies to : 227
MentionsInReplyTo : 1730
Mentions : 3254
Retweet : 2884
Tweet : 1123
Quote : 124
MentionsInQuote : 200
Self-Loops : 2533
Reciprocated Vertex Pair Ratio : 0.0622861054072553
Reciprocated Edge Ratio : 0.117268041237113
Connected Components : 314
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 2140
Maximum Edges in a Connected Component : 13405
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.73901
Graph Density : 0.000602236657276121
Modularity : 0.267367
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,781 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 23:07 UTC.
The tweets in the network were tweeted over the 1290-day, 22-hour, 2-minute period from Tuesday, 30 July 2019 at 02:57 UTC to Friday, 10 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 : 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:
[771] #vive2023,#healthtech [768] #healthtech,#smartcity [767] #csuite,#digitalhealth [766] #digitalhealth,#web3 [765] #smartcity,#5g [764] #datascientist,#csuite [763] #web3,#cx [762] #5g,#datascientist [761] #cx,#ehealth [449] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[698] #vive2023,#healthtech [692] #healthtech,#smartcity [691] #smartcity,#5g [691] #csuite,#digitalhealth [690] #web3,#cx [690] #digitalhealth,#web3 [689] #5g,#datascientist [689] #datascientist,#csuite [689] #cx,#ehealth [378] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[166] #artificialintelligence,#digital [149] #healthcare,#health [119] #digital,#healthcare [118] #openai,#artificialintelligence [114] #tech,#innovation [105] #health,#digitalhealth [98] #innovation,#technology [85] #technology,#web3 [73] #csuite,#digitalhealth [73] #healthtech,#smartcity Top Word Pairs in Tweet in G3:
[35] #digitalhealth,#health [33] #digital,#digitalhealth [24] #automation,#digitalhealth [23] #snapchat,#blockchain [23] #gmail,#snapchat [23] dm,#algorithms [23] #data,#analytics [23] #rstats,#100daysofcode [23] #serverless,#gmail [23] recover,account Top Word Pairs in Tweet in G4:
[27] full,story [10] digital,health [8] aston,university [8] research,centre [8] set,put [8] forefront,#digital [8] children,young [8] university,forefront [8] centre,set [8] #digital,transformation Top Word Pairs in Tweet in G5:
[11] hubbucketbiomed,hubbucketbiot [10] #digital,#digitalhealth [9] #machinelearning,#ml [9] #healthcare,#digitalhealth [9] #socialmedia,#digital [9] #digitalhealth,#health [9] #artificialintelligence,#ai [7] report,offers [7] offers,fascinating [7] himsscast,episode Top Word Pairs in Tweet in G6:
[53] medical,licensing [48] licensing,exam [38] threshold,medical [38] exam,uslme [38] performs,passing [38] #chatgpt,performs [38] passing,threshold [36] uslme,plosdigi [36] erictopol,#chatgpt [15] pointing,flaws Top Word Pairs in Tweet in G7:
[20] digital,health [5] johnpierce85,lucielanyon [4] 'office',working [4] keynote,#digitalhealthweek23 [4] privilege,professor [4] leading,way [4] chair,day [4] faidh,co [4] magrabi,faidh [4] high,calibre Top Word Pairs in Tweet in G8:
[8] gt,gt [7] clinical,innovation [7] chair,dtraorg [7] innovation,pfizer [7] pfizer,discusses [7] #healthunabashed,craiglipset [7] head,clinical [7] co,chair [7] former,head [7] craiglipset,co Top Word Pairs in Tweet in G9:
[49] #healthcareit,#ehealth [49] #healthcare,#digitalhealth [49] #ehealth,#healthcare [46] #health,#healthcareit [30] #healthcare,#healthcareit [30] #healthcareit,#digitalhealth [29] #simplifyingselection,#healthcare [20] #hospital,#clinics [18] #doctors,#hospital [17] #digitalhealth,#healthcare Top Word Pairs in Tweet in G10:
[16] digital,health [14] #digitalhealth,#healthtech [12] #technology,#covid19 [12] #healthtech,#innovation [12] #hospitals,#healthscience [12] #pharmaceuticals,#manufacturing [12] #innovation,#hospitals [12] #vaccines,#pharmaceuticals [12] #healthscience,#technology [12] #covid19,#vaccines Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: