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: "human data interaction the human face of the data driven society"
  Abstract: The increasing generation and collection of personal data has created a complex ecosystem, often collaborative but sometimes combative, around companies and individuals engaging in the use of these data. We propose that the interactions between these agents warrants a new topic of study: Human-Data Interaction (HDI). In this paper we discuss how HDI sits at the intersection of various disciplines, including computer science, statistics, sociology, psychology and behavioural economics. We expose the challenges that HDI raises, organised into three core themes of legibility, agency and negotiability, and we present the HDI agenda to open up a dialogue amongst interested parties in the personal and big data ecosystems.

Connected through hyperedge HE-1 (induced by source paper "transparency motivations and challenges"):
  with members:
    - "emergent communication in a multi modal multi step referential game"
    - "axiomatic attribution for deep networks"
    - "counterfactual explanations without opening the black box automated decisions and the gdpr"
    - "a unified approach to interpreting model predictions"
    - "emergence of grounded compositional language in multi agent populations"
    - "living together mind and machine intelligence"
    - "challenges for transparency"
    - "visualizing deep neural network decisions prediction difference analysis"

Connected through hyperedge HE-2 (induced by source paper "realising the right to data portability for the domestic internet of things"):
  with members:
    - "internet of things an overview"
    - "privacy and data protection by design from policy to engineering"

Connected through hyperedge HE-3 (induced by source paper "challenges for transparency"):
  with members:
    - "emergent communication in a multi modal multi step referential game"
    - "emergence of language with multi agent games learning to communicate with sequences of symbols"
    - "axiomatic attribution for deep networks"
    - "counterfactual explanations without opening the black box automated decisions and the gdpr"
    - "a unified approach to interpreting model predictions"
    - "living together mind and machine intelligence"
    - "multi agent reinforcement learning in sequential social dilemmas"
    - "visualizing deep neural network decisions prediction difference analysis"

Connected through hyperedge HE-4 (induced by source paper "valorising the iot databox creating value for everyone"):
  with members:
    - "end to end privacy for open big data markets"
    - "big data privacy in the internet of things era"
    - "the emerging internet of things marketplace from an industrial perspective a survey"
    - "a survey on internet of things from industrial market perspective"
    - "improve the sustainability of internet of things through trading based value creation"
    - "sensing as a service model for smart cities supported by internet of things"
    - "a market for unbiased private data paying individuals according to their privacy attitudes"
    - "your browsing behavior for a big mac economics of personal information online"

Connected through hyperedge HE-5 (induced by source paper "personal data thinking inside the box"):
  with members:
    - "anatomy of the third party web tracking ecosystem"

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)