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: "adversarial network coding"
  Abstract: A combinatorial framework for adversarial network coding is presented. Channels are described by specifying the possible actions that one or more (possibly coordinated) adversaries may take. Upper bounds on three notions of capacity (the one-shot capacity, the zero-error capacity, and the compound zero-error capacity) are obtained for point-to-point channels, and generalized to corresponding capacity regions appropriate for multi-source networks. A key result of this paper is a general method by which bounds on these capacities in point-to-point channels may be ported to networks. This technique is illustrated in detail for Hamming-type channels with multiple adversaries operating on specific coordinates, which correspond, in the context of networks, to multiple adversaries acting on specific network edges. Capacity-achieving coding schemes are described for some of the considered adversarial models.

Connected through hyperedge HE-1 (induced by source paper "delay aware wireless network coding in adversarial traffic"):
  with members:
    - "online energy efficient scheduling for timely information downloads in mobile networks"
    - "network utility maximization in adversarial environments"
    - "online ski rental for on off scheduling of energy harvesting base stations"
    - "throughput delay analysis of random linear network coding for wireless broadcasting"
    - "optimal reverse carpooling over wireless networks a distributed optimization approach"
    - "network coding aware queue management for tcp flows over coded wireless networks"

Connected through hyperedge HE-2 (induced by source paper "partitions of matrix spaces with an application to q rook polynomials"):
  with members:
    - "a polymatroid approach to generalized weights of rank metric codes"
    - "rank metric codes and q polymatroids"
    - "maximal ferrers diagram codes constructions and genericity considerations"
    - "codes endowed with the rank metric"
    - "relative generalized matrix weights of matrix codes for universal security on wire tap networks"
    - "algebraic structures of mrd codes"
    - "duality of codes supported on regular lattices with an application to enumerative combinatorics"
    - "on the similarities between generalized rank and hamming weights and their applications to network coding"

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)