Post 1 - Understanding what is "Social Media Analytics"

Basis ideas of Social Media Analytics

In lecture 1, we discussed what are social media and what is social media analytics.  
We used the definition of social media as a starting point to start the discussion of how we can analyse the complicated reaction within the social media.

Web 2.0 and User Generated Content (UGC) are two elements to drive Social Media. Social media is a global phenomenon, it enabled the information sharing between a groups and communities. People are enable express their views,interest, religion and opinions via the social media. Social media offers a place to let us to understand people and their behaviour, it also provided us a method to use the macro point of view to analyse global phenomenon.

Social media analytic is an engineering point of view to develop and evaluate the information tools and frameworks to extract, analyse, summarise and visualise information.  During the discussion of "Case Studies 3 - How can we improve face recognition using social network information", face recognition system is alway perform badly in different pose, illumination and expression but social media information such as friendship information can improve the face recognition algorithm. It mean that the system can "guess" the face more accurate by knowing the relationship.  Through this cases we can learn that the social media analytics data is not just a "output" it can also be a "input" to improve a real social media system.