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: "fundamental limits on throughput capacity in information centric networks"
  Abstract: Author(s): Azimdoost, B; Westphal, C; Sadjadpour, HR | Abstract: Wireless information-centric networks consider storage as one of the network primitives, and propose to cache data within the network in order to improve latency and reduce bandwidth consumption. We study the throughput capacity and latency in an information-centric network when the data cached in each node has a limited lifetime. The results show that with some fixed request and cache expiration rates, the order of the data access time does not change with network growth, and the maximum throughput order is not changing with the network growth in grid networks, and is inversely proportional to the number of nodes in one cell in random networks. Comparing these values with the corresponding throughput and latency with no cache capability (throughput inversely proportional to the network size, and latency of order $\sqrt{n}$ and the inverse of the transmission range in grid and random networks, respectively), we can actually quantify the asymptotic advantage of caching. Moreover, we compare these scaling laws for different content discovery mechanisms and illustrate that not much gain is lost when a simple path search is used.

Connected through hyperedge HE-1 (induced by source paper "on the capacity of fractal d2d social networks with hierarchical communications"):
  with members:
    - "not call me cellular any more the emergence of scaling law fractal patterns and small world in wireless networks"
    - "wireless fractal cellular networks"
    - "network capacity region and minimum energy function for a delay tolerant mobile ad hoc network"
    - "systematic topology analysis and generation using degree correlations"
    - "evaluating mobility pattern space routing for dtns"
    - "capacity and character expansions moment generating function and other exact results for mimo correlated channels"

Connected through hyperedge HE-2 (induced by source paper "cache optimization models and algorithms"):
  with members:
    - "learning to cache with no regrets"
    - "introduction to online convex optimization"
    - "cabaret leveraging recommendation systems for mobile edge caching"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "competitive caching with machine learned advice"
    - "online convex optimization and no regret learning algorithms guarantees and applications"
    - "show me the cache optimizing cache friendly recommendations for sequential content access"
    - "a reinforcement learning approach to proactive caching in wireless networks"

Connected through hyperedge HE-3 (induced by source paper "reversing the meaning of node connectivity for content placement in networks of caches"):
  with members:
    - "jointly optimal routing and caching for arbitrary network topologies"
    - "maximizing coverage centrality via network design extended version"
    - "adaptive caching networks with optimality guarantees"

Connected through hyperedge HE-4 (induced by source paper "on the capacity of wireless networks with fractal and hierarchical social communications"):
  with members:
    - "on the capacity of fractal wireless networks with direct social interactions"
    - "wireless fractal cellular networks"
    - "systematic topology analysis and generation using degree correlations"
    - "capacity and character expansions moment generating function and other exact results for mimo correlated channels"

Connected through hyperedge HE-5 (induced by source paper "a content based centrality metric for collaborative caching in information centric fogs"):
  with members:
    - "pricing and resource allocation via game theory for a small cell video caching system"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "many to many matching games for proactive social caching in wireless small cell networks"

Connected through hyperedge HE-6 (induced by source paper "resolution based content discovery in network of caches is the control traffic an issue"):
  with members:
    - "a unified approach to the performance analysis of caching 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)