Social networks have becoming a very popular research area not only for data mining and web mining but also for social computing and social network analysis. The important grow up of social networking websites such as Facebook, Twitter, LinkedIn, Orkut, Tuenti, Flickr, etc... provides new opportunities to study the real behaviour of web users, these information could be used in different and new applications related to economy, marketing, education, business, medical... Data Mining comprises a large set of techniques that has the ability to process and analyze large amount of data and by this to discover valuable information from the data. In recent years, due to the growth of social networking applications and websites were people interact with others or provide useful information about a particular topic (i.e. opinions, classifications, ratings, etc...), data mining becomes a very important and powerful technique to process and analyze such large amount of data.

Recently, many researches are focusing on developing new data mining techniques and algorithms, or trying to improve traditional mining techniques for social network analysis. In most of real application areas, the behaviour of users that are interacting with the data can be used to define pattern behaviours of large cluster of users. This information can be later used to analyse global behaviours in populations, etc... Therefore, this workshop on Social and Data Mining techniques proposes a first approach to study and analyze different methods, algorithms, models or real applications that could extract general (and even specific) behavioural patterns from users interactions.

The workshop will be held in conjunction with the International Conference on Web Intelligence, Mining and Semantics (WIMS'11) in Sogndal, Norway.