human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "immersive virtual reality serious games for evacuation training and research a systematic literature review"
  Abstract: Abstract   An appropriate and safe behavior for exiting a facility is key to reducing injuries and increasing survival when facing an emergency evacuation in a building. Knowledge on the best evacuation practice is commonly delivered by traditional training approaches such as videos, posters, or evacuation drills, but they may become ineffective in terms of knowledge acquisition and retention. Serious games (SGs) are an innovative approach devoted to training and educating people in a gaming environment. Recently, increasing attention has been paid to immersive virtual reality (IVR)-based SGs for evacuation knowledge delivery and behavior assessment because they are highly engaging and promote greater cognitive learning.  This paper aims to understand the development and implementation of IVR SGs in the context of building evacuation training and research, applied to various indoor emergencies such as fire and earthquake. Thus, a conceptual framework for effective design and implementation through the systematic literature review method was developed. As a result, this framework integrates critical aspects and provides connections between them, including pedagogical and behavioral impacts, gaming environment development, and outcome and participation experience measures.

Connected through hyperedge HE-1 (induced by source paper "the use of machine learning and big five personality taxonomy to predict construction workers safety behaviour"):
  with members:
    - "an immersive virtual reality serious game to enhance earthquake behavioral responses and post earthquake evacuation preparedness in buildings"
    - "the effectiveness of traditional tools and computer aided technologies for health and safety training in the construction sector a systematic review"
    - "linear system identification in a nonlinear setting nonparametric analysis of the nonlinear distortions and their impact on the best linear approximation"
    - "cached sufficient statistics for efficient machine learning with large datasets"

Connected through hyperedge HE-2 (induced by source paper "an immersive virtual reality serious game to enhance earthquake behavioral responses and post earthquake evacuation preparedness in buildings"):
  with members:
    - "the effectiveness of traditional tools and computer aided technologies for health and safety training in the construction sector a systematic review"
    - "prototyping virtual reality serious games for building earthquake preparedness the auckland city hospital case study"
    - "rapid 3d reconstruction of indoor environments to generate virtual reality serious games scenarios"

Connected through hyperedge HE-3 (induced by source paper "the effectiveness of traditional tools and computer aided technologies for health and safety training in the construction sector a systematic review"):
  with members:
    - "rapid 3d reconstruction of indoor environments to generate virtual reality serious games scenarios"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CY(Computers and Society)