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: "network coding capacity a functional dependence bound"
  Abstract: Explicit characterization and computation of the multi-source network coding capacity region (or even bounds) is long standing open problem. In fact, finding the capacity region requires determination of the set of all entropic vectors $\Gamma^{*}$, which is known to be an extremely hard problem. On the other hand, calculating the explicitly known linear programming bound is very hard in practice due to an exponential growth in complexity as a function of network size. We give a new, easily computable outer bound, based on characterization of all functional dependencies in networks. We also show that the proposed bound is tighter than some known bounds.

Connected through hyperedge HE-1 (induced by source paper "a minimal set of shannon type inequalities for functional dependence structures"):
  with members:
    - "cut set bounds on network information flow"

Connected through hyperedge HE-2 (induced by source paper "capacity bounds for networks with correlated sources and characterisation of distributions by entropies"):
  with members:
    - "cut set bounds on network information flow"
    - "characterising probability distributions via entropies"
    - "beyond the cut set bound uncertainty computations in network coding with correlated sources"
    - "beyond the cut set bound uncertainty computations in network coding with correlated sources"
    - "dualities between entropy functions and network codes"
    - "network information flow with correlated sources"

Connected through hyperedge HE-3 (induced by source paper "cut set bounds on network information flow"):
  with members:
    - "beyond the cut set bound uncertainty computations in network coding with correlated sources"
    - "beyond the cut set bound uncertainty computations in network coding with correlated sources"
    - "the minimal set of ingleton inequalities"
    - "dualities between entropy functions and network codes"
    - "network information flow with correlated sources"

Connected through hyperedge HE-4 (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"
    - "mission impossible computing the network coding capacity region"

Connected through hyperedge HE-5 (induced by source paper "on approximating the sum rate for multiple unicasts"):
  with members:
    - "bounding multiple unicasts through index coding and locally repairable codes"
    - "an equivalence between network coding and index coding"
    - "on the feasibility of precoding based network alignment for three unicast sessions"
    - "index coding an interference alignment perspective"
    - "on the index coding problem and its relation to network coding and matroid theory"

Connected through hyperedge HE-6 (induced by source paper "a generalized cut set bound for deterministic multi flow networks and its applications"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "wireless network information flow a deterministic approach"
    - "two unicast information flows over linear deterministic networks"
    - "a simple necessary and sufficient condition for the double unicast problem"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "capacity of linear two hop mesh networks with rate splitting decode and forward relaying and cooperation"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-7 (induced by source paper "beyond the cut set bound uncertainty computations in network coding with correlated sources"):
  with members:
    - "on secure network coding with uniform wiretap sets"
    - "beyond the cut set bound uncertainty computations in network coding with correlated sources"
    - "multishot codes for network coding using rank metric codes"
    - "packing and covering properties of subspace codes for error control in random linear network coding"
    - "a rank metric approach to error control in random network coding"
    - "coding for errors and erasures in random network coding"
    - "packing and covering properties of rank metric codes"
    - "on coding for reliable communication over packet networks"

Connected through hyperedge HE-8 (induced by source paper "symmetry in distributed storage systems"):
  with members:
    - "rate region of the 4 3 3 exact repair regenerating codes"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"
    - "network coding for distributed storage systems"

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)