In recent years, the research on social networks has advanced significantly, which can be attributed to the prevalence of the online social websites and instant messaging systems. Social networks have become the key platforms for, among others, content dissemination, professional networking, recommendation, alerting, and political campaigns. Providing support for social network analysis, such as tracing, propagation, visualization or simulation, new computational approaches focus on representing, analyzing, and extracting useful patterns from them. The availability of huge network-structured data, such as social, citation, mobile, terrorism and metabolic networks, provides great opportunities to understand complex systems of social networks. This workshop aims at identifying challenges on social networks, especially on information analysis and data mining over social networks. The research along this direction is also very promising for businesses and IT industry, as they develop innovative ideas fostering the design of the new generation of social network platforms and their services. This workshop aims at bringing together researchers and professionals from academia and industry from around the world for showcasing, discussing, and reviewing the whole spectrum of technological opportunities, challenges, solutions, and emerging applications in social network information analysis and data mining. We especially encourage original work based on interdisciplinary research, such as computer science and social science, where quantitative evidence is available demonstrating the mutual advantage of such an approach.