Workshop on social network mining and analysis, Washington DC, US
Social network research has developed significantly in recent years. This has been aided by the increasing popularity of socially-based websites and the availability of a variety of large-scale social network systems. These are usually characterised by complex network structures and rich accompanying contextual information.
Researchers are increasingly interested in addressing a wide range of challenges related to social network systems, including identifying common static topological and dynamic properties during the formation and evolution of these social networks, and how contextual information can help in analysing social networks. These can have important implications for community discovery, anomaly detection, trend prediction and can enhance applications in multiple domains.
The event aims to bring together practitioners and researchers to discuss emerging trends and industry needs associated with the traditional Web, the social Web, and other forms of social networking systems.For further information, please visit:
http://www.snakdd.com/(opens in new window)