On 2004-07-13 09:25:00, Allan Engelhardt wrote in CYBAEA Journal:
I proposed a slightly provocative definition of social software when we were discussing it at the July 2004 London Symposium on Social Tools for the Enterprise.
My concern with most current social software tools is that they focus too much on the content. Perhaps this reflects that many of the companies and individuals who are active creating software have a background in knowledge management.
To me, that is the wrong focus. Content is the means to an end, not the end. Think of content as the slug’s trail: it shows you where you’ve been. It reminds you of the path you took to get where you are now. Many active bloggers use their blogs as a sort of extended memory for exactly this purpose. In the enterprise setting, there is tremendous value to be had in making knowledge, experiences, and values explicit and amenable to search and categorisation.
But the real value of social software in the enterprise is not in the content. Content doesn’t do anything. People do; and what makes a difference to the enterprise is people coming together innovating and changing the organisation.
The value of social software is in creating social connections where none existed, or in strengthening existing connections. Key success factors are to make everything addressable (links persist connections) and to make everything a feed. The last point is really important: social software must enable me to discover conversations and then facilitate me contributing to the discussion. That is why e-mail, critical as it is to most businesses, is not a social software tool.
Lee Bryant really stressed the everything is a feed
and the importance of managing feeds (as opposed to individual content items) as critical to the success they have had with the NHS.
[End]
On 2009-07-02 20:33:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
I am a sucker for good quality data. I wrote about data.gov, the US Government data site before, and now I find OECD Statistics which has some 300 data sets, many of which seems to be readily accessible (though some may require subscription)
Read more (~53 words).
On 2009-06-16 10:27:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
I like the "multicore" library for a particular task. I can easily write a combination of if(require("multicore",...)) that means that my function will automatically use the parallel mclapply() instead of lapply() where it is available. Which is grand 99% of the time, except when my function is called from mclapply() (or one of the lower level functions) in which case much CPU trashing and grinding of teeth will result.
So, I needed a function to determine if my function was called from any function in the "multicore" library. Here it is.
Read more (~190 words).
On 2009-06-12 10:23:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
Somebody on the R-help mailing list asked how to get Rmpi working on his Fedora Linux machine so he could do high-performance computing on a cluster of machines (or a single multicore machine) using the R statistical computing and analysis platform. Since it is unusually painful to get working, I might as well copy the instructions here.
Read more (~414 words, 2 comments).
On 2009-06-09 11:23:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
O’Reilly has published Data Mashups in R as a $4.99 PDF download in their Short Cut series. In 27 pages it takes you through an example of how to combine foreclosure information with maps and geographical information to produce plots like the one here. This is all done with the R statistical computing and analysis platform.
Read more (~108 words).
On 2009-06-01 07:07:00, Allan Engelhardt wrote in CYBAEA Data and Analysis:
Hugh Miller, the team leader of the winner of the KDD Cup 2009 Slow Challenge (which we wrote about recently) kindly provides more information about how to win this public challenge using the R statistical computing and analysis platform on a laptop (!).
Read more (~456 words).
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