My Digital FootPrint

Image from http://www.savagechickens.com/2010/04/mutual.html Based on Laswell's maxim : "who says what to whom in what channel with what effect." Yahoo  research concluded that 20,000 "elite users" generate about half of all tweets consumed.  The researchers are from Cornell University (Shaomei Wu) and Yahoo  (Winter Mason, Jake Hofman, and Duncan Watts).  They classified "elite users" through the analysis of Twitter lists and placed them into four categories: celebrities, bloggers, media outlets, and organizations. The research finds that even though media outlets are by far the most active users on Twitter, only about 15% of tweets consumed by "ordinary users" are received directly from the media. The implication is that users are paying attention to other sources of information or are receiving those tweets not directly from the media but as retweets. Of specific interest is that media outlets, blogs, organizations, and celebrities,

PageRank is the foundation of Google, but doesn’t do social very well. With Google Plus will we see a SocialRank emerge?  Now this is not new either for Google or for the likes of PeerIndex or Klout who have already added many sources of data for its rankings and are fighting to become the default measure of online influence, something that advertisers and marketers in particular are extremely interested in as they try to identify “influencers” who can spread their messages SocialRank will be based on Digital Footprint data that comes from Blog, Google +, Twitter, Facebook, Quora and LinkedIn accounts and one does expect the same underlying ideas of PageRank – insomuch that your digitalfootprint data comes from you and there is a need to balance this with data that others say about your or your data. Digital Footprint 101 Klout focus is on overall “reach” and “amplification” These are determined by looking at a user’s activity and how much impact it has on their social graph (whe

Image from:   The BBC reported this morning (18 th July 2011) on CatNav and CatCam (using tech to track your cat) The reporter Richard Westcote chatted to Roger Tabor  a Pet Behaviour Expert .  [need to ignore Roger used to present for the BBC and that his report is paid for by Bayer – who sell cat worming – which Roger managed to slip in several times, but the BBC forgot to say this was a paid ad ] However, there is a report here “ the secret lives of cats ” if you want to know what your cat gets up to, but that is not the point. Mary Whitehouse  (if you don’t know who she is – you really should) would have taken this up and said (me creating the words now) “ It is only a short step from tracking you pet to tracking you.  Once you believe it is safe and acceptable to do so, it will become easy for you to be hoodwinked into being tracked yourself.” It is all about small steps of education or erosion.  Is there any value in your Digital Footprint?

PEST analysis  Political, Economic, Social and Technology is a basic framework for strategy development.  Old but does the job.  Just been doing some work on digital footprint strategies for a developing sector [ think - new digital markets not BRIC ] PEST has a limitation that it does not allow you to present or think about the wider implications of digital data and the radical changes on business models.  The analysis tool falls apart when thinking about information silo s and the scenarios that are being presented.  Porters 5 forces model does no better. Scenario planning as a framework allows you to engage, but depends on understanding the drivers for change – miss one key scenario or develop one that the board does not like, approve, engage or understand and the implications could be significant.  The frameworks that boards are working with (or we are asked to work with or told to work with), as they know and understand them, do not appear to powerful enough to provide

Normal service is about to resume…..honest. Have had my head down on a few projects

http://tous-des-cons.blogspot.com/

The definition of digital footprint DATA in the following blog is used with the most all embracing and generic meaning of data which includes all raw data (collected, implicit, implied, passive or active collection); meta-data (data that defines the data, tags and attributes about the data); and information, insight, knowledge derived from analysis. I start with an assumption that all digital footprint DATA has a creator (seller) and consumer (buyer) and all DATA needs context.  The simple examples of content, you take a photo of me and share it or a transaction, I buy something; highlight a critical point, both the creator (seller) and consumer (buyer) have rights to the DATA.  There are two special cases, one where the creator and consumer is the same body and the other where there is an intermediary or third party (buy something using credit). Irrespective of the structure there may need to be an agreement/ barter/ trade about the DATA and rights. Some of these agreements