The First International Workshop on Social Network Analysis and Mining (SNAM’12)

15 - 18 December, 2012, Nanjing, China. In conjuction with ADMA 2012.

Background
Social network related research has attracted more and more scientist and researchers recently, 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. Analyzing and mining the information underneath the social network will benefit not only the information providers but also the information consumers.

Goals
This workshop aims to bring together researchers and practitioners interested in this area to share their perspectives, identify the challenges and opportunities, and discuss future research/application directions through invited talks and oral/poster presentations. Both theoretical and experimental submissions are encouraged. The interesting topics include 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.

Topics of Interest
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:

We invite papers solving these problems using all kinds of methods, such as statistical methods, machine learning, graphical models, graph mining methods, matrix factorization, optimization, information visualization methods.

Workshop Co-chair:
Cuiping Li  Renmin University of China
Gao Cong  Nanyang Technological University, Singapore 

Program Committee:
Xiaoyong Du Renmin University of China
Jianhua Feng Tsinghua University, China
Hongzhi Wang Harbin Institute of Technology, China
Weining Qian East China Normal University, China
Aixin Sun  Nanyang Technological University, Singapore 
Xiaochun Yang NorthEast University, China
Zhaonian Zou Harbin Institute of Technology, China

Submission
All acceptd papers by SMR 2012 will be published by Springer Communications in Computer and Information Science (CCIS) series, which will be indexed by ISI Proceedings.
Papers should not exceed 12 pages in LNCS format. The submission of papers must be in either PDF or Word format. The Authors should exclude the usage of non-English fonts to avoid the problems from reviewers' machines.
You may download formats of LNCS here.

Please send your paper to cuipingruc@gmail.com




Important dates

Submission deadline:
July 17, 2012

Notification of Acceptance:
September 16, 2012,September 30, 2012

Camera-ready submission deadline:
September 30, 2012,October 14, 2012



Sponsors

Publisher