Online social networks are still growing rapidly. Besides of their social characteristics these networks have their own specific features at the system level. Techniques of information, retrieval, databases, preference modeling, graph theory, etc. are integrated there and adapted into dynamic environment with high scalability. The workshop addresses this situation by providing a forum for researchers to discuss the data processing issues associated with online social networks. The workshop takes up the topics of the main ADBIS conference, since the research issues with online social networks include the topics of distributed computing, databases, and storage systems as well as modeling professional profiles of objects like workers, specialists, projects, supervisors, etc.
The workshop plans to focus on the following areas:
  • * data modeling for social networks
  • * social networks and graph databases
  • * social networks and relational databases
  • * social networks and data streaming
  • * a database perspective of social networks data processing
  • * computational aspects of social networks
  • * extraction, querying, and analysis of social networks
  • * general professional social networks
  • * field specific professional social networks
  • * human testing of software prototypes in a social network
  • * behavioral modeling and social networks
  • * affective social computing
  • * mining techniques for the social Web
  • * automatic discovery and analysis of Web based social networks
  • * network evolution and growth mechanisms
  • * information diffusion in social networks
  • * detection of communities by document analysis
  • * search algorithms on social networks
  • * collaborative filtering