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: "soft cache hits and the impact of alternative content recommendations on mobile edge caching"
  Abstract: Caching popular content at the edge of future mobile networks has been widely considered in order to alleviate the impact of the data tsunami on both the access and backhaul networks. A number of interesting techniques have been proposed, including femto-caching and "delayed" or opportunistic cache access. Nevertheless, the majority of these approaches suffer from the rather limited storage capacity of the edge caches, compared to the tremendous and rapidly increasing size of the Internet content catalog. We propose to depart from the assumption of hard cache misses, common in most existing works, and consider "soft" cache misses, where if the original content is not available, an alternative content that is locally cached can be recommended. Given that Internet content consumption is increasingly entertainment-oriented, we believe that a related content could often lead to complete or at least partial user satisfaction, without the need to retrieve the original content over expensive links. In this paper, we formulate the problem of optimal edge caching with soft cache hits, in the context of delayed access, and analyze the expected gains. We then show using synthetic and real datasets of related video contents that promising caching gains could be achieved in practice.

Connected through hyperedge HE-1 (induced by source paper "the order of things position aware network friendly recommendations in long viewing sessions"):
  with members:
    - "a learning based approach to joint content caching and recommendation at base stations"
    - "cabaret leveraging recommendation systems for mobile edge caching"
    - "show me the cache optimizing cache friendly recommendations for sequential content access"
    - "wireless caching technical misconceptions and business barriers"
    - "making recommendations bandwidth aware"
    - "fundamental limits of caching in wireless d2d networks"
    - "femtocaching wireless video content delivery through distributed caching helpers"

Connected through hyperedge HE-2 (induced by source paper "human like hybrid caching in software defined edge cloud"):
  with members:
    - "cognitive information measurements a new perspective"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "cooperative local caching under heterogeneous file preferences"

Connected through hyperedge HE-3 (induced by source paper "show me the cache optimizing cache friendly recommendations for sequential content access"):
  with members:
    - "a learning based approach to joint content caching and recommendation at base stations"
    - "effects of content popularity on the performance of content centric opportunistic networking an analytical approach and applications"
    - "collaborative multi bitrate video caching and processing in mobile edge computing networks"
    - "placing dynamic content in caches with small population"
    - "finite length analysis of caching aided coded multicasting"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "fundamental limits of caching"
    - "relieving the wireless infrastructure when opportunistic networks meet guaranteed delays"

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)