DMSNA 2014 - The First Workshop on Data Mining and Social Network Analysis

Prof. Peng Zhang, zhangpeng-AT-iie.ac.cn (Chinese Academy of Sciences, China)
Prof. Svetlana Maltseva, smaltseva-AT-hse.ru (HSE, Moscow, Russia)
Social media, such as Facebook, Flickr, Twitter, have become important mediums for information sharing and spreading, with rapidly increasing users over the past few years. Through the powerful effect of word-of-mouth, social media play a critical role in affecting people's opinions and behaviors. Social media analysis is an inherently interdisciplinary academic field emerged from social psychology, sociology, statistics and graph theory. The workshop aims to draw together empirically-grounded and theoretically-informed researchers to discuss the key issues in contemporary social network analysis and mining methods across disparate fields and methodologies. The workshop also solicits high-quality original research papers in any aspect of data mining and social network analysis. Contributions are invited that address a range of related issues.
Areas for consideration could include, but are not limited to:
1) Social Web Search
2) Graph data and networks
3) Algorithms and Systems for Social networks
4) Distributed and Parallel Algorithms
5) Big Data Search Architectures, Scalability and Efficiency
6) Social Data Acquisition, Integration, Cleaning, and Best Practices
7) Visualization Analytics for Social Network Data
8) Computational Modeling and Data Integration
9) Large-scale Recommendation Systems for Social Media
10) Cloud/Grid/Stream Data Mining
11) Link and Graph Mining
12) Semantic-based Data Mining and Data Pre-processing
13) Mobility and Social Network Data
14) Multimedia and Multi-structured Data Analysis