human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "towards the capacity region of multiplicative linear operator broadcast channels"):
  Abstract: Recent research indicates that packet transmission employing random linear network coding can be regarded as transmitting subspaces over a linear operator channel (LOC). In this paper we propose the framework of linear operator broadcast channels (LOBCs) to model packet broadcasting over LOCs, and we do initial work on the capacity region of constant-dimension multiplicative LOBCs(CMLOBCs), a generalization of broadcast erasure channels. Two fundamental problems regarding CMLOBCs are addressed-finding necessary and sufficient conditions for degradation and deciding whether time sharing suffices to achieve the boundary of the capacity region in the degraded case.

Includes members:
  Member "the capacity of random linear coding networks as subspace channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the capacity of multiplicative finite field matrix channels")
  Member "on the capacity of non coherent network coding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "batched sparse codes")
  Member "recursive code construction for random networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "new constructions of subspace codes using subsets of mrd codes in several blocks")
  Member "coding for linear operator channels over finite fields":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multi server coded caching")
  Member "communication over finite field matrix channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "finite field matrix channels for network coding")
  Member "multishot codes for network coding bounds and a multilevel construction":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "reliable and secure multishot network coding using linearized reed solomon codes")
  Member "projective space codes for the injection metric":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "matrix codes as ideals for grassmannian codes and their weight properties")
  Member "error correcting codes in projective spaces via rank metric codes and ferrers diagrams":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a note on echelon ferrers construction")

Question: Please tell me which class the source paper 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)