The workshop aims to discuss key issues of searching and mining a special kind of increasingly important sources: Social Web(SW).

There are a growing number of highly-popular user-centric applications, especially with the popularity of the Web 2.0. Such examples include blogs, folksonomies, wikis and Web c\
ommunities in specific topics such as in academic research area. They have formed a new Web, Social Web and further formed social networks. SW generates a lot of structured and \
semi-structured information. This information greatly enlarges the content of Web. At the same time, it introduces many interesting research issues (e.g., social web storage, se\
arch and mining, social network building, expertise oriented search and association search in social networks) and as well many real-world applications (e.g. web community detec\
tion and search, hot-topic detection in a specific web community). These research issues have been receiving in the recent years growing attentions.

This workshop solicits contributions on Social Web search and mining including Web based and Semantic Web-based social applications, the emerging applications of the Web as a so\
cial medium such as its typical application in the academic area. Workshop Papers will elaborate related methods, issues associated to SW extraction, storage, search, and mining\
.

Workshop Theme and Topics

The workshop will provide a forum for researchers from all over the world to share information on their latest investigations in SWN search, mining and its application particula\
rly in academic research area.

The broader context of the workshop can be related in some respects to the areas of Web Mining, Social Networks Analysis, Semantic Web, Information Retrieval, and Natural langua\
ge Processing. In addition to paper presentations and depending on time limitations, we will solicit an invited talk or a panel that will stress the interdisciplinary challenges\
of SWN search and mining.

Topics in SW search and mining of interest include but are not limited to:
* Algorithms for SW search
* Personalized search for social interaction
* User behaviour prediction
* Classification, clustering and knowledge extraction on SW
* Large-scale graph algorithms
* Discovering social structures and communities
* Evolution of online social networks
* Social network extraction
* Temporal analysis on SW Network's topologies
* Topic detection and topic trend analysis
* Events/collaborators recommendation
* Name disambiguation and normalization
* Applications of SW
* Integration of heterogeneous SWs