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: "big data analytics for large scale wireless networks challenges and opportunities"
  Abstract: The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large-scale wireless networks. Big data of large-scale wireless networks has the key features of wide variety, high volume, real-time velocity, and huge value leading to the unique research challenges that are different from existing computing systems. In this article, we present a survey of the state-of-art big data analytics (BDA) approaches for large-scale wireless networks. In particular, we categorize the life cycle of BDA into four consecutive stages: Data Acquisition, Data Preprocessing, Data Storage, and Data Analytics. We then present a detailed survey of the technical solutions to the challenges in BDA for large-scale wireless networks according to each stage in the life cycle of BDA. Moreover, we discuss the open research issues and outline the future directions in this promising area.

Connected through hyperedge HE-1 (induced by source paper "blockchain for internet of things a survey"):
  with members:
    - "an overview on smart contracts challenges advances and platforms"
    - "repchain a reputation based secure fast and high incentive blockchain system via sharding"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "big data analytics for manufacturing internet of things opportunities challenges and enabling technologies"
    - "analysis of the xrp ledger consensus protocol"
    - "sabre protecting bitcoin against routing attacks"
    - "how to make a digital currency on a blockchain stable"
    - "a survey on the security of blockchain systems"

Connected through hyperedge HE-2 (induced by source paper "blockchain intelligence when blockchain meets artificial intelligence"):
  with members:
    - "a survey on the security of blockchain systems"
    - "under optimized smart contracts devour your money"
    - "untangling blockchain a data processing view of blockchain systems"
    - "an integrated semantic web service discovery and composition framework"

Connected through hyperedge HE-3 (induced by source paper "big data analytics for manufacturing internet of things opportunities challenges and enabling technologies"):
  with members:
    - "blockchain for internet of things a survey"
    - "deep gradient compression reducing the communication bandwidth for distributed training"
    - "extremely low bit neural network squeeze the last bit out with admm"
    - "collaborative mobile edge computing in 5g networks new paradigms scenarios and challenges"

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.NI(Networking and Internet Architecture)