Social Networking Websites, A Goldmine for Data: Understaning the Science Behind SNA

June 19, 2007 by Kevin  
Filed under Tactics

One of the trends that has come out of the social networking website boom is the evolution of the collection of data and the birth of “social networking analytics” (SNA), which the Brisbane Times recently discussed in this article.

The use of SNA is still in its infancy, by 2012 though it is thought that the collection of the data available will be fully realized and in use. Companies will be able to see who exactly you are “connected” to and analyzing any conflict of interest this may cause (ie: where do friends and family members work). Beyond that they will be able to gather information that a simple resume does not always hold from something as simple as age, race and appearance, to what you have said about your job, what co workers may have said about you, how often you vacation, holidays you take, and any other piece of data that is relevant.

From a marketing standpoint companies will be able to analyze trends in a much more accurate fashion than they do now, using the entire array of web 2.0 sites, mining as much data as possible from them. This data mining will be able to be used to build a complete profile of who you are and what you have done. Which from a marketing side is exciting, but from a privacy standpoint it is pretty upsetting. (Note to self: Remove pictures of me stripping on a pool table in a club…. wait that will show up in data searches too, just kidding about the stripping thing.)

Behind all of this is a long history in the world of social science.

While the industry of Social Networking Analytics is still in it’s infancy, the concept of Social Networking Analysis has been deployed by social scientists for a long period of time. Social Networking Analysis is basically the Kevin Bacon game in some rudimentary way (although the direct or indirect connections are usually three steps away), you examine the degrees of how people are connected and how nodes are interconnected with different people.

Using this method, people have been able to track the spread of hospital acquired infections, analyze book selling patterns, and expose business ties in criminal investigations. There is a very solid science and technique behind this technology that is taking a step forward and integrating the various facets of the web.

Being able to understand this science is important for someone as a viral marketer because this encapsulates what you are trying to do. In creating word of mouth about yourself or your product you first try to influence people within your node, using the chart above lets say that Diane is your company, Diane places a banner on her page and asks others to do so within her friends network on whatever social networking site. From there people influence others that are within their nodes that might not be in Diane’s.

The breakdown and growth of this is truly fascinating, you can examine how your network changes and grows. Right now we are only at the tip of the iceberg with the implementation of this technology in regards to online social networks, the growth of the science behind this over the next few years should bring up some interesting debates on an ethical level.

Technorati Tags: ,

Share and Enjoy:
  • StumbleUpon
  • Digg
  • Facebook
  • Mixx
  • Google
  • TwitThis
  • Reddit
  • Yahoo! Buzz
  • Tipd
  • E-mail this story to a friend!

Comments

4 Responses to “Social Networking Websites, A Goldmine for Data: Understaning the Science Behind SNA”
  1. Saul says:

    Hey Kevin,

    I see you are nominated for the Bloggers Choice Awards. Are you planning on heading to the PostieCon
    conference?
    I totally agree with the “gold mine” of information in Social Networking - and the possibility for spreading information and ideas.

    Great blog.
    Saul

  2. Valdis Krebs says:

    Thanks for the link… here is a presentation that covers 20 years of social network analytics…

    http://tinyurl.com/2uq5bw

    Enjoy!

  3. Dear all,

    we have just published a paper on privacy problems in Web 2.0 and possible computational solutions:

    Preibusch, S., Hoser, B., Guerses, S., & Berendt, B. (2007). Ubiquitous social networks - opportunities and challenges for privacy-aware user modelling. In Proceedings of the Workshop on Data Mining for User Modelling at UM 2007, Corfu, Greece, June 2007.
    http://vasarely.wiwi.hu-berlin.de/DM.UM07/Proceedings/05-Preibusch.pdf

    We hope you find this interesting, and would be happy to receive comments!
    Bettina

Trackbacks

Check out what others are saying about this post...


Speak Your Mind

Tell us what you're thinking...
and oh, if you want a pic to show with your comment, go get a gravatar!


About Us | Advertise with us | Blog for Bizzia | Privacy Policy | Terms of Use
Get This Theme


All content is Copyright © 2005-2009 b5media. All rights reserved.