Social media mining techniques

We'll go through a few of the standard social media mining techniques available. We will consider examples with Facebook and Twitter as our data sources.

Graph mining

Network graphs make up the dominant data structure and appear, essentially, in all forms of social media data/information. Typically, user communities constitute a group of nodes in such graphs where nodes within the same community or cluster tend to share common features.

Graph mining can be described as the process of extracting useful knowledge (patterns, outliers and so on.) from a social relationship between the community members can be represented as a graph. The most influential example of graph mining is Facebook Graph Search.

Text mining

Extraction of meaning from unstructured text data present in social media is described as text mining. The primary targets of this type of mining are blogs and micro blogs such as Twitter. It's applicable to other social networks such as Facebook that contain links to posts, blogs, and other news articles.