SNA-KDD 2013 - The Seventh SNA-KDD Workshop on Social Network Mining and Analysis

The seventh SNA-KDD workshop is proposed as the seventh in a successful series of workshops on social network mining and analysis co-held with KDD, soliciting experimental and theoretical work on social network mining and analysis in both online and offline social network systems.
In recent years, social network research has advanced significantly, thanks to the prevalence of the online social websites and instant messaging systems as well as the availability of a variety of large-scale offline social network systems. These social network systems are usually characterized by the complex network structures and rich accompanying contextual information. Researchers are increasingly interested in addressing a wide range of challenges residing in these disparate social network systems, including identifying common static topological properties 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 past SNA-KDD workshops have achieved significant attentions from the world-wide researchers working in different aspects of social network analysis, including knowledge discovery and data mining in social network, social network modeling, multi-agent based social network simulation, complex generic network analysis and other related studies that can bring inspirations or be directly applied to social network analysis. Each year we received more than 30 submissions. The average acceptance rate is around 1/3.
Keynote Speech: Prof. Jiawei Han from UIUC and Prof. Philip S. Yu from UIC will give public talks in SNAKDD 2013. These talks will address challenges of the social network analysis and mining in big data.
Proceedings: Papers accepted for presentation at the workshop will be published in the workshop proceedings of the KDD conference, which will be included in the ACM digital library.
Workshop Topics
Topics of Interest:
The seventh SNA-KDD 2013 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.
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;
Role identification and relation analysis in social network;
Collective social network integration and analysis.
Specifically, in SNA-KDD 2013 we encourage paper submissions in the following three sub-domains of social networks for the interests of the special issue of ACM TIST Transaction (note that the interests of this special issue are only encouraged but not limited to the below topics):
Mobile social networks
Social network analysis and mining for life science (health) applications
Crowdsourcing in social networks