SNAKDD 2011 - Fifth International Workshop on Social Network Mining and Analysis (SNAKDD 2011)

Website www.kdd.org/kdd2011 | Edit Freely

Category SNAKDD 2011

Deadline: May 07, 2011 | Date: August 21, 2011-August 24, 2011

Venue/Country: San Diego, U.S.A

Updated: 2011-03-25 09:18:56 (GMT+9)

Call For Papers - CFP

and dynamic properties during the formation and evolution of these social networks, and how contextual information can help in analyzing the pertaining social networks. These issues have important implications on community discovery, anomaly detection, trend prediction and can enhance applications in multiple domains such as information retrieval, recommendation systems, security and so on.

The fifth SNA-KDD '2011 aims to bring together practitioners and researchers with a specific focus on the emerging trends and industry needs associated with the traditional Web, the social Web, and other forms of social networking systems. Both theoretical and experimental submissions are encouraged. The interesting topics include (1) data mining advances on the discovery and analysis of communities, on personalization for solitary activities (like search) and social activities (like discovery of potential friends), on the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions) and on the associated security and privacy-preservation challenges; (2) social network modeling, scalable, customizable social network infrastructure construction, dynamic growth and evolution patterns identification and discovery using machine learning approaches or multi-agent based simulation.

Workshop Topics

The fifth SNA-KDD '2011 solicits contributions on social network analysis and graph mining, including the emerging applications of the Web as a social medium. Papers should elaborate on data mining methods, issues associated to data preparation and pattern interpretation, both for conventional data (usage logs, query logs, document collections) and for multimedia data (pictures and their annotations, multi-channel usage data). Topics of interest include but are not limited to:

Communities discovery and analysis in large scale online and offline social networks

Personalization for search and for social interaction

Recommendations for product purchase, information acquisition and establishment of social relations

Data protection inside communities

Misbehavior detection in communities

Web mining algorithms for clickstreams, documents and search streams

Preparing data for web mining

Pattern presentation for end-users and experts

Evolution of patterns in the Web

Evolution of communities in the Web

Dynamics and evolution patterns of social networks, trend prediction

Contextual social network analysis

Temporal analysis on social networks topologies

Search algorithms on social networks

Multi-agent based social network modeling and analysis

Application of social network analysis

Anomaly detection in social network evolution