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: "modified index coding increases capacity of information centric networks"
  Abstract: The Index Coding (IC) problem studies transmission policies when the source node broadcasts encoded data to users with side information. This paper extends the index coding problem to the case when the source node can reach users through multi-hop communications. The new approach is called Modified Index Coding (MIC) which can be applied to both wireless and wired networks. We demonstrate the benefits of our approach by applying MIC to Information-Centric Networks (ICN). We demonstrate that the combination of ICN and MIC requires a hybrid caching scheme that includes caching at the routers and the nodes to support two different goals. The caching is used at the routers to place contents closer to the users when requested (similar to ICN approach) and is used at the users as side information. Our analysis demonstrates that order optimal capacity gains can be achieved in some capacity regions, i.e., capacity gain grows with the number of nodes in the network by using MIC. We have computed the capacity gains by counting either the number of disjoint cycles or cliques in the dependency graph. It was also shown analytically that near edge caching by routers in ICN achieves close to optimal capacity. Simulation results compare the capacity improvement to the traditional ICN architecture.

Connected through hyperedge HE-1 (induced by source paper "capacity of cellular networks with femtocache"):
  with members:
    - "multihop caching aided coded multicasting for the next generation of cellular networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "caching in wireless multihop device to device networks"
    - "index coding with coded side information"
    - "hierarchical coded caching"
    - "fundamental limits of caching in wireless d2d networks"
    - "fundamental limits of caching improved bounds for small buffer users"
    - "multi level coded caching"

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.IT(Information Theory)