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: "divide and conquer partitioning ospf networks with sdn"
  Abstract: Software Defined Networking (SDN) is an emerging network control paradigm focused on logical centralization and programmability. At the same time, distributed routing protocols, most notably OSPF and IS-IS, are still prevalent in IP networks, as they provide shortest path routing, fast topological convergence after network failures, and, perhaps most importantly, the confidence based on decades of reliable operation. Therefore, a hybrid SDN/OSPF operation remains a desirable proposition. In this paper, we propose a new method of hybrid SDN/OSPF operation. Our method is different from other hybrid approaches, as it uses SDN nodes to partition an OSPF domain into sub-domains thereby achieving the traffic engineering capabilities comparable to full SDN operation. We place SDN-enabled routers as subdomain border nodes, while the operation of the OSPF protocol continues unaffected. In this way, the SDN controller can tune routing protocol updates for traffic engineering purposes before they are flooded into sub-domains. While local routing inside sub-domains remains stable at all times, inter-sub-domain routes can be optimized by determining the routes in each traversed sub-domain. As the majority of traffic in non-trivial topologies has to traverse multiple subdomains, our simulation results confirm that a few SDN nodes allow traffic engineering up to a degree that renders full SDN deployment unnecessary.

Connected through hyperedge HE-1 (induced by source paper "joint switch upgrade and controller deployment in hybrid software defined networks"):
  with members:
    - "morph an adaptive framework for efficient and byzantine fault tolerant sdn control plane"
    - "software defined networking a comprehensive survey"
    - "on uniform capacitated k median beyond the natural lp relaxation"

Connected through hyperedge HE-2 (induced by source paper "sdn based resource allocation in mpls networks a hybrid approach"):
  with members:
    - "optimal qos aware network reconfiguration in software defined cloud data centers"
    - "cect computationally efficient congestion avoidance and traffic engineering in software defined cloud data centers"
    - "joint energy efficient and qos aware path allocation and vnf placement for service function chaining"
    - "hybrid ip sdn networking open implementation and experiment management tools"

Connected through hyperedge HE-3 (induced by source paper "replication of virtual network functions optimizing link utilization and resource costs"):
  with members:
    - "specifying and placing chains of virtual network functions"

Connected through hyperedge HE-4 (induced by source paper "on the ip traffic matrix problem in hybrid sdn ospf networks"):
  with members:
    - "sdn partitioning a centralized control plane for distributed routing protocols"
    - "hybrid ip sdn networking open implementation and experiment management tools"

Connected through hyperedge HE-5 (induced by source paper "vnf placement with replication for load balancing in nfv networks"):
  with members:
    - "specifying and placing chains of virtual network functions"

Connected through hyperedge HE-6 (induced by source paper "link capacity planning for fault tolerant operation in hybrid sdn ospf networks"):
  with members:
    - "sdn partitioning a centralized control plane for distributed routing protocols"

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)