tag:blogger.com,1999:blog-3317748811909502538.post2821793526766963209..comments2023-04-17T12:13:44.323+01:00Comments on Intropy: Kybernetes Keywords: maps and miscellaneousDaveoftheNewCityhttp://www.blogger.com/profile/04140446220455064332noreply@blogger.comBlogger4125tag:blogger.com,1999:blog-3317748811909502538.post-39508292138609648222012-07-13T14:58:53.998+01:002012-07-13T14:58:53.998+01:00Thanks - an interesting set of reflections. A furt...Thanks - an interesting set of reflections. A further reason in favour of keywords would be the classic finding in cognitive science that "recognition is faster than recall". This had a big influence in human-computer interface design with the rise of MacOS and Windows in the 80s. The idea is that choosing from a list of possible is generally faster than trying to remember terms and enter them. This makes a list of keywords (or labels) easier to navigate than full-text searching.<br /><br />To take a different analogy, it's like the difference between browsing in a bookshop and searching at Amazon - it can be a a lot easier to find *something* interesting in a bookshop, especially if you don't know exactly what you're looking for.<br /><br />So I'm glad we've got the keywords for Kybernetes!Magnus Ramagehttps://www.blogger.com/profile/18405481292821369074noreply@blogger.comtag:blogger.com,1999:blog-3317748811909502538.post-30722594893860605092012-07-12T13:44:12.883+01:002012-07-12T13:44:12.883+01:00Thanks, this would be an interesting exercise. As ...Thanks, this would be an interesting exercise. As discussed on twitter, I'll see if we can get the data in a suitable form.David Chapmanhttps://www.blogger.com/profile/01959069828311977846noreply@blogger.comtag:blogger.com,1999:blog-3317748811909502538.post-7072674194343174032012-07-12T12:08:15.316+01:002012-07-12T12:08:15.316+01:00There might be some R code you can reuse from some...There might be some R code you can reuse from some work Adam Cooper showed off at the JISC CETIS conference identifying emerging and dedining themes (code at end of post) http://blogs.cetis.ac.uk/adam/2012/02/21/edtech-blogs-a-visualisation-playground/Martin Hawkseyhttps://www.blogger.com/profile/15374805883358566843noreply@blogger.comtag:blogger.com,1999:blog-3317748811909502538.post-18077665493211931422012-07-12T11:49:50.909+01:002012-07-12T11:49:50.909+01:00Hi David
A quick read of this got me wondering ab...Hi David<br /><br />A quick read of this got me wondering about whether a bit of text analysis and/or network analysis might help?<br /><br />Trivially, just looking to see how keywords have been used to date might identify unpopular keywords, and charting their cumulative usage over time might show up different interest areas over time.<br /><br />Graph-wise, if you have a list of keywords by article we could build a map of co-occurring keywords and then look for natural clusters/groupings/pairings, as well as giving an overview over the spheres of interest?<br /><br />If you have titles and abstracts available, they could also be mined for possible keywords, or used to identify words particularly associated in the free text with given keywords etc?<br /><br />Just a thought... if you have lists of titles, authors, abstracts and keywords in a machine redable form, I'd be happy to have a quick play to see if I can turn up anything of interest?Tony Hirsthttps://www.blogger.com/profile/07192476380420213082noreply@blogger.com