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: "mission impossible computing the network coding capacity region"
  Abstract: One of the main theoretical motivations for the emerging area of network coding is the achievability of the max-flow/min-cut rate for single source multicast. This can exceed the rate achievable with routing alone, and is achievable with linear network codes. The multi-source problem is more complicated. Computation of its capacity region is equivalent to determination of the set of all entropy functions $\Gamma^*$, which is non-polyhedral. The aim of this paper is to demonstrate that this difficulty can arise even in single source problems. In particular, for single source networks with hierarchical sink requirements, and for single source networks with secrecy constraints. In both cases, we exhibit networks whose capacity regions involve $\Gamma^*$. As in the multi-source case, linear codes are insufficient.

Connected through hyperedge HE-1 (induced by source paper "linear network coding for two unicast z networks a commutative algebraic perspective and fundamental limits"):
  with members:
    - "alignment based network coding for two unicast z networks"
    - "the two unicast problem"
    - "topological interference management through index coding"
    - "fundamental limits of caching"
    - "an equivalence between network coding and index coding"
    - "locally repairable codes"
    - "two unicast information flows over linear deterministic networks"
    - "path gain algebraic formulation for the scalar linear network coding problem"

Connected through hyperedge HE-2 (induced by source paper "the two unicast problem"):
  with members:
    - "a generalized cut set bound for deterministic multi flow networks and its applications"
    - "bounding multiple unicasts through index coding and locally repairable codes"
    - "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks"
    - "a note on the multiple unicast capacity of directed acyclic networks"
    - "network coding is zero error always possible"
    - "two unicast information flows over linear deterministic networks"
    - "an achievable region for the double unicast problem based on a minimum cut analysis"
    - "network coding capacity a functional dependence bound"

Connected through hyperedge HE-3 (induced by source paper "on multi source networks enumeration rate region computation and hierarchy"):
  with members:
    - "explicit polyhedral bounds on network coding rate regions via entropy function region algorithms symmetry and computation"
    - "constrained linear representability of polymatroids and algorithms for computing achievability proofs in network coding"
    - "characterizing the rate region of the 4 3 3 exact repair regenerating codes"
    - "multilevel diversity coding systems rate regions codes computation forbidden minors"
    - "index coding capacity how far can one go with only shannon inequalities"
    - "linear rank inequalities on five or more variables"
    - "entropy vectors and network codes"
    - "dualities between entropy functions and network codes"

Connected through hyperedge HE-4 (induced by source paper "mapping the region of entropic vectors with support enumeration information geometry"):
  with members:
    - "entropy region and convolution"
    - "equivalence of two proof techniques for non shannon type inequalities"
    - "finite p groups entropy vectors and the ingleton inequality for nilpotent groups"
    - "non shannon information inequalities in four random variables"
    - "linear rank inequalities on five or more variables"
    - "a projection method for derivation of non shannon type information inequalities"
    - "entropy vectors and network codes"
    - "dualities between entropy functions and network codes"

Connected through hyperedge HE-5 (induced by source paper "single source sink network error correction is as hard as multiple unicast"):
  with members:
    - "rateless resilient network coding against byzantine adversaries"
    - "routing for security in networks with adversarial nodes"
    - "an equivalence between network coding and index coding"
    - "on secure network coding with uniform wiretap sets"
    - "polytope codes against adversaries in networks"
    - "robust network coding in the presence of untrusted nodes"
    - "network error correction with unequal link capacities"
    - "adversarial models and resilient schemes for network coding"

Connected through hyperedge HE-6 (induced by source paper "reverse edge cut set bounds for secure network coding"):
  with members:
    - "on secure network coding with nonuniform or restricted wiretap sets"
    - "on secure network coding with uniform wiretap sets"
    - "on capacity region of wiretap networks"
    - "universal secure network coding via rank metric codes"

Connected through hyperedge HE-7 (induced by source paper "generalized cut set bounds for broadcast networks"):
  with members:
    - "latent capacity region a case study on symmetric broadcast with common messages"
    - "the single source two terminal network with network coding"
    - "fundamental constraints on multicast capacity regions"

Connected through hyperedge HE-8 (induced by source paper "on secure network coding with nonuniform or restricted wiretap sets"):
  with members:
    - "universal secure network coding via rank metric codes"
    - "on wiretap networks ii"

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)