OVERVIEW

The emphasis of this workshop shall be approaches based on relationship extraction from heterogeneous sources such as technical literature, news articles, social network profile data, and social media. Relevant media include, but are not limited to, forums, blogs, social media systems such as Facebook, Twitter, YouTube, Google+, Pinterest, Tumblr, etc. Of particular interest are sharing mechanisms, status updates, systems for rating and commenting, and embedded content in the deep web, including images and video. However, the scope is not limited to any particular approach to link analysis or any source of network information such as text corpora. Application areas that often exhibit a need for heterogeneous information network analysis include:

-- Information diffusion and sharing systems: sensor networks, social media (opinions and sentiments, meme propagation, viral content, political commentary, etc.)
-- Behavioral modeling: community recruitment and mass activity, large-scale patterns, traffic, spatiotemporal effects
-- Content-management systems: version control, wikification
-- Social recommender systems: communities, experts, friends, products, reviewers, providers
-- Application areas: cybersecurity (information flow, trust networks, attack graphs, mechanism design), bioinformatics and biomedicine (genomics, proteomics, metabolomics), epidemiology

SUBMISSION INFORMATION

Submissions can be in the following formats: full papers (6-8 pages) or short summaries and extended abstracts, including position papers (2-3 pages). Submissions must follow the standard IJCAI two-column format, and PDF versions should be submitted via EasyChair.

Full papers: 25 May 2013
Short papers: 28 May 2013
Acceptance notification: 29 May 2013

ORGANISING COMMITTEE

William H. Hsu Kansas State University
Yizhou Sun Northeastern University
Surya Teja Kallumadi Kansas State University