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: "Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application"
  Abstract: We present the design, implementation, evaluation, and user ex periences of theCenceMe application, which represents the first system that combines the inference of the presence of individuals using off-the-shelf, sensor-enabled mobile phones with sharing of this information through social networking applications such as Facebook and MySpace. We discuss the system challenges for the development of software on the Nokia N95 mobile phone. We present the design and tradeoffs of split-level classification, whereby personal sensing presence (e.g., walking, in conversation, at the gym) is derived from classifiers which execute in part on the phones and in part on the backend servers to achieve scalable inference. We report performance measurements that characterize the computational requirements of the software and the energy consumption of the CenceMe phone client. We validate the system through a user study where twenty two people, including undergraduates, graduates and faculty, used CenceMe continuously over a three week period in a campus town. From this user study we learn how the system performs in a production environment and what uses people find for a personal sensing system.

Connected through hyperedge HE-1 (induced by source paper "People-centric urban sensing"):
  with members:
    - "BikeNet: A mobile sensing system for cyclist experience mapping"
    - "A wireless sensor network For structural monitoring"

Connected through hyperedge HE-2 (induced by source paper "BikeNet: A mobile sensing system for cyclist experience mapping"):
  with members:
    - "People-centric urban sensing"
    - "SPS: A Novel Semantics-Aware Scheme for Location Privacy in People-Centric Sensing Network"

Connected through hyperedge HE-3 (induced by source paper "From taxi GPS traces to social and community dynamics: A survey"):
  with members:
    - "Urban Computing: Concepts, Methodologies, and Applications"

Connected through hyperedge HE-4 (induced by source paper "Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach"):
  with members:
    - "Activity recognition with weighted frequent patterns mining in smart environments"

Connected through hyperedge HE-5 (induced by source paper "An event-driven energy efficient framework for wearable health-monitoring system"):
  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