### Paul Hurtado

Shared publicly -Just been approached by someone here in Cardiff who runs Trip Database (www.tripdatabase.com/about), a widely used clinical search engine, used by health professionals across the globe (apparently they get 100 -110,000 visits per month). He's heard about our interest in social network analysis and mathematical modelling, and would like some help to analyse the Trip database.

This diagram is taken from a similar study: Clickstream Data Yields High-Resolution Maps of Science (http://bit.ly/OM9EW1) in PLOS ONE. It visualises the relationships between journals according to user clickstreams and describes a first-order Markov chain model to capture the structural features of its underlying clickstream model by comparing the latter to journal centrality rankings and an alternative model of journal relations derived from classification data. It uses PageRank methods too. In essence it produces a map of science research.

I thought I'd share as it looks pretty neat and some nice mathematical analysis behind it. Hoping we might get a MSc student working with them over the summer or a final year UG project next year.

This diagram is taken from a similar study: Clickstream Data Yields High-Resolution Maps of Science (http://bit.ly/OM9EW1) in PLOS ONE. It visualises the relationships between journals according to user clickstreams and describes a first-order Markov chain model to capture the structural features of its underlying clickstream model by comparing the latter to journal centrality rankings and an alternative model of journal relations derived from classification data. It uses PageRank methods too. In essence it produces a map of science research.

I thought I'd share as it looks pretty neat and some nice mathematical analysis behind it. Hoping we might get a MSc student working with them over the summer or a final year UG project next year.

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