The graph represents a network of 1,141 Twitter users whose recent tweets contained "(personalised OR personalized) health", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Tuesday, 16 July 2019 at 14:53 UTC.
The tweets in the network were tweeted over the 9-day, 11-hour, 58-minute period from Sunday, 07 July 2019 at 02:46 UTC to Tuesday, 16 July 2019 at 14:45 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 1144
Unique Edges : 1575
Edges With Duplicates : 651
Total Edges : 2226
Number of Edge Types : 4
Mentions : 1135
Tweet : 408
Retweet : 525
Replies to : 158
Self-Loops : 418
Reciprocated Vertex Pair Ratio : 0.0804681784930505
Reciprocated Edge Ratio : 0.14895057549086
Connected Components : 385
Single-Vertex Connected Components : 198
Maximum Vertices in a Connected Component : 83
Maximum Edges in a Connected Component : 290
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.052662
Graph Density : 0.00112955723191944
Modularity : 0.668638
NodeXL Version : 1.0.1.416
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[159] personalised,care [111] personalized,health [90] mental,health [90] long,term [73] ex,forces [73] health,condition [73] condition,disability [72] forces,long [72] term,health [64] care,amp Top Word Pairs in Tweet in G1:
[25] personalized,health [18] health,care [15] learn,more [15] one,one [14] private,yoga [14] yoga,classes [12] personalized,nutrition [9] gut,health [9] lose,weight [9] mental,health Top Word Pairs in Tweet in G2:
[80] personalised,care [73] ex,forces [73] long,term [72] forces,long [72] term,health [72] health,condition [72] condition,disability [56] new,personalised [53] we've,published [53] published,new Top Word Pairs in Tweet in G3:
[17] secret,personalized [17] personalized,dieting [17] dieting,rely [17] rely,#microbiome [17] #microbiome,still [17] still,lot [17] lot,scientists [17] scientists,don [17] don,understand [17] understand,microbiome Top Word Pairs in Tweet in G4:
[14] personalised,patient [12] patient,journey [10] artificial,intelligence [8] drfonz,doctorlink [8] #ai,deliver [8] 医薬品に求められる新基準,効果が予測可能 [8] 効果が予測可能,predictive [8] predictive,予防医療 [8] 予防医療,preventative [8] preventative,個別化医療 Top Word Pairs in Tweet in G5:
[35] mental,health [26] weaving,together [26] together,recovery [26] peer,support [26] support,deliver [26] deliver,personalised [26] personalised,care [26] support,people [20] care,amp [20] amp,support Top Word Pairs in Tweet in G6:
[20] brexit,health [20] health,check [20] free,personalised [20] personalised,report [20] report,#brexit [20] #brexit,impact [20] impact,organisation [14] given,business [14] business,brexit [14] check,take Top Word Pairs in Tweet in G7:
[23] personalized,health [23] health,consulting [23] consulting,services [23] drlagakos,gmail [23] gmail,com [14] services,drlagakos [9] services,gt [9] gt,drlagakos [5] higher,protein [5] protein,intake Top Word Pairs in Tweet in G8:
[8] ahahospitals,members [8] members,stakeholders [8] stakeholders,come [8] come,together [8] together,talk [8] talk,health [8] health,care [8] care,value [8] value,looking [8] looking,social Top Word Pairs in Tweet in G9:
[26] soychicka,saysdana [26] saysdana,ninaandtito [26] ninaandtito,karolcummins [26] karolcummins,wokyleeks [22] ericgarland,soychicka [20] wokyleeks,minggao26 [17] demopj,ericgarland [11] ydanasmithdutra,demopj [9] jbadomics,hazelddormouse [8] russellsieg,demopj Top Word Pairs in Tweet in G10:
[14] scale,up [14] up,solutions [14] solutions,better [14] better,data [14] data,advance [14] advance,research [14] research,disease [14] disease,prevention [14] prevention,personalised [14] personalised,health Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: