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: "community empowered air quality monitoring system"
  Abstract: Developing information technology to democratize scientific knowledge and support citizen empowerment is a challenging task. In our case, a local community suffered from air pollution caused by industrial activity. The residents lacked the technological fluency to gather and curate diverse scientific data to advocate for regulatory change. We collaborated with the community in developing an air quality monitoring system which integrated heterogeneous data over a large spatial and temporal scale. The system afforded strong scientific evidence by using animated smoke images, air quality data, crowdsourced smell reports, and wind data. In our evaluation, we report patterns of sharing smoke images among stakeholders. Our survey study shows that the scientific knowledge provided by the system encourages agonistic discussions with regulators, empowers the community to support policy making, and rebalances the power relationship between stakeholders.

Connected through hyperedge HE-1 (induced by source paper "smell pittsburgh engaging community citizen science for air quality"):
  with members:
    - "when human computer interaction meets community citizen science"
    - "industrial smoke detection and visualization"
    - "why should i trust you explaining the predictions of any classifier"
    - "the emotional and chromatic layers of urban smells"
    - "smelly maps the digital life of urban smellscapes"

Connected through hyperedge HE-2 (induced by source paper "when human computer interaction meets community citizen science"):
  with members:
    - "smell pittsburgh community empowered mobile smell reporting system"

Connected through hyperedge HE-3 (induced by source paper "smell pittsburgh community empowered mobile smell reporting system"):
  with members:
    - "industrial smoke detection and visualization"
    - "why should i trust you explaining the predictions of any classifier"
    - "the emotional and chromatic layers of urban smells"
    - "smelly maps the digital life of urban smellscapes"

Connected through hyperedge HE-4 (induced by source paper "visualization tool for environmental sensing and public health data"):
  with members:
    - "industrial smoke detection and visualization"

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.HC(Human-Computer Interaction)