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: "quality of experience qoe beyond quality of service qos as its baseline qoe at the interface of experience domains"
  Abstract: In this work, a new approach to the definition of the quality of experience is presented. By considering the quality of service as a baseline, that portion of the QoE that can be inferred from the QoS is excluded, and then the rest of the QoE is approached with the notion of QoE at a Boundary (QoEaaB). With the QoEaaB as the core of the proposed approach, various potential boundaries, and their associated unseen opportunities to improve the QoE are discussed. In particular, property, contract, SLA, and content are explored in terms of their boundaries and also their associated QoEaaB. With an interest in online video delivery, management of resource sharing and isolation associated with multi-tenant operations is considered. It is concluded that the proposed QoEaaB can bring a new perspective in QoE modeling and assessment toward a more enriched approach to improving the experience based on innovation and deep connectivity among actors.

Connected through hyperedge HE-1 (induced by source paper "a decentralized approach to software defined networks sdns"):
  with members:
    - "a monte carlo approach to lifespan failure performance analysis of the network fabric in modular data centers"
    - "towards wire speed platform agnostic control of openflow switches"
    - "smartpacket re distributing the routing intelligence among network components in sdns"
    - "tree decompositions and social graphs"
    - "millions of little minions using packets for low latency network programming and visibility extended version"
    - "a geometric distance oracle for large real world graphs"
    - "programming protocol independent packet processors"

Connected through hyperedge HE-2 (induced by source paper "40 gbps access for metro networks implications in terms of sustainability and innovation from an lca perspective"):
  with members:
    - "a graph based perspective to total carbon footprint assessment of non marginal technology driven projects use case of ott iptv"
    - "challenges and complexities in application of lca approaches in the case of ict for a sustainable future"

Connected through hyperedge HE-3 (induced by source paper "a graph based perspective to total carbon footprint assessment of non marginal technology driven projects use case of ott iptv"):
  with members:
    - "challenges and complexities in application of lca approaches in the case of ict for a sustainable future"

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.HC(Human-Computer Interaction)