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: "rarest first and choke algorithms are enough"
  Abstract: The performance of peer-to-peer file replication comes from its piece and peer selection strategies. Two such strategies have been introduced by the BitTorrent protocol: the rarest first and choke algorithms. Whereas it is commonly admitted that BitTorrent performs well, recent studies have proposed the replacement of the rarest first and choke algorithms in order to improve efficiency and fairness. In this paper, we use results from real experiments to advocate that the replacement of the rarest first and choke algorithms cannot be justified in the context of peer-to-peer file replication in the Internet. We instrumented a BitTorrent client and ran experiments on real torrents with different characteristics. Our experimental evaluation is peer oriented, instead of tracker oriented, which allows us to get detailed information on all exchanged messages and protocol events. We go beyond the mere observation of the good efficiency of both algorithms. We show that the rarest first algorithm guarantees close to ideal diversity of the pieces among peers. In particular, on our experiments, replacing the rarest first algorithm with source or network coding solutions cannot be justified. We also show that the choke algorithm in its latest version fosters reciprocation and is robust to free riders. In particular, the choke algorithm is fair and its replacement with a bit level tit-for-tat solution is not appropriate. Finally, we identify new areas of improvements for efficient peer-to-peer file replication protocols.

Connected through hyperedge HE-1 (induced by source paper "on the scalability of p2p swarming systems"):
  with members:
    - "a new stable peer to peer protocol with non persistent peers"
    - "a stable fountain code mechanism for peer to peer content distribution"
    - "tree dynamics for peer to peer streaming"
    - "can p2p networks be super scalable"
    - "heterogeneous download times in a homogeneous bittorrent swarm"
    - "on the stability of two chunk file sharing systems"
    - "stability of a peer to peer communication system"
    - "the missing piece syndrome in peer to peer communication"

Connected through hyperedge HE-2 (induced by source paper "spatial soft core caching"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "spatially correlated content caching for device to device communications"
    - "spatial multi lru caching for wireless networks with coverage overlaps"
    - "joint optimization of cloud and edge processing for fog radio access networks"
    - "adaptive caching networks with optimality guarantees"
    - "optimal geographic caching in cellular networks"
    - "cache aided interference channels"
    - "fundamental limits of caching in wireless d2d networks"

Connected through hyperedge HE-3 (induced by source paper "incentivized delivery network of iot software updates based on trustless proof of distribution"):
  with members:
    - "bitcoin ng a scalable blockchain protocol"
    - "ipfs content addressed versioned p2p file system"

Connected through hyperedge HE-4 (induced by source paper "p2p pl a pattern language to design efficient and robust peer to peer systems"):
  with members:
    - "reputation based probabilistic resource allocation for avoiding free riding and formation of common interest groups in unstructured p2p networks"
    - "mapping the gnutella network properties of large scale peer to peer systems and implications for system design"

Connected through hyperedge HE-5 (induced by source paper "on the optimization of bittorrent like protocols for interactive on demand streaming systems"):
  with members:
    - "on the scalability of p2p swarming systems"
    - "on client interactive behaviour to design peer selection policies for bittorrent like protocols"
    - "enabling information centric networks through opportunistic search routing and caching"
    - "heterogeneous download times in a homogeneous bittorrent swarm"
    - "stability of a peer to peer communication system"

Connected through hyperedge HE-6 (induced by source paper "analyzing peer selection policies for bittorrent multimedia on demand streaming systems in internet"):
  with members:
    - "on client interactive behaviour to design peer selection policies for bittorrent like protocols"
    - "heterogeneous download times in a homogeneous bittorrent swarm"
    - "pushing bittorrent locality to the limit"

Connected through hyperedge HE-7 (induced by source paper "on client interactive behaviour to design peer selection policies for bittorrent like protocols"):
  with members:
    - "a user profile based access control model and architecture"
    - "estimating self sustainability in peer to peer swarming systems"

Connected through hyperedge HE-8 (induced by source paper "experimenting with bittorrent on a cluster a good or a bad idea"):
  with members:
    - "can realistic bittorrent experiments be performed on clusters"
    - "clustering and sharing incentives in bittorrent systems"

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)