human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "SocialScope: Enabling Information Discovery on Social Content Sites"
  Abstract: Recently, many content sites have started encouraging their users to engage in social activities such as adding buddies on Yahoo! Travel and sharing articles with their friends on New York Times. This has led to the emergence of social content sites, which is being facilitated by initiatives like OpenID 1 and OpenSocial 2 . These community standards enable the open access to users’ social profil es and connections by individual content sites and are bringing contentoriented sites and social networking sites ever closer. The integration of content and social information raises new challenges for information management and discoveryover such sites. We propose a logical architecture, named SocialScope, consisting of three layers, for tackling the challenges. The content managementlayer is responsible for integrating, maintaining and physicall y accessing the content and social data. The information discovery layer takes care of analyzing content to derive interesting new information, and interpreting and processing the user’s information need to identify relevant information. Finally, the information presentation layer explores the discovered information and helps users better understand it in a principled way. We describe the challenges in each layer and propose solutions for some of those challenges. In particular, we propose a uniform algebraic framework, which can be leveraged to uniformly and flexibly specify many of the infor mation discovery and analysis tasks and provide the foundation for the optimization of those tasks.

Connected through hyperedge HE-1 (induced by source paper "Recommendation of similar users, resources and social networks in a Social Internetworking Scenario"):
  with members:
    - "Mining user similarity based on routine activities"

Connected through hyperedge HE-2 (induced by source paper "It takes variety to make a world: diversification in recommender systems"):
  with members:
    (none)

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science