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: "a probabilistic analysis of kademlia networks"
  Abstract: Kademlia [3] is currently the most widely used searching algorithm in p2p (peer-to-peer) networks. This work studies an essential question about Kademlia from a mathematical perspective: how long does it take to locate a node in the network? To answer it, we introduce a random graph \(\mathcal{K}\) and study how many steps are needed to locate a given vertex in \(\mathcal{K}\) using Kademlia’s algorithm, which we call the routing time. Two slightly different versions of \(\mathcal{K}\) are studied. In the first one, vertices of \(\mathcal{K}\) are labeled with fixed IDs. In the second one, vertices are assumed to have randomly selected IDs. In both cases, we show that the routing time is about c logn, where n is the number of nodes in the network and c is an explicitly described constant.

Connected through hyperedge HE-1 (induced by source paper "distributed random process for a large scale peer to peer lottery"):
  with members:
    - "secure and trustable distributed aggregation based on kademlia"
    - "bitcoin and decentralized trust protocols"
    - "scalable and secure aggregation in distributed networks"

Connected through hyperedge HE-2 (induced by source paper "secure and trustable distributed aggregation based on kademlia"):
  with members:
    - "new hybrid distributed voting algorithm"
    - "scalable and secure aggregation in distributed networks"

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)