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: "closure solvability for network coding and secret sharing"
  Abstract: Network coding is a new technique to transmit data through a network by letting the intermediate nodes combine the packets they receive. Given a network, the network coding solvability problem decides whether all the packets requested by the destinations can be transmitted. In this paper, we introduce a new approach to this problem. We define a closure operator on a digraph closely related to the network coding instance and we show that the constraints for network coding can all be expressed according to that closure operator. Thus, a solution for the network coding problem is equivalent to a so-called solution of the closure operator. We can then define the closure solvability problem in general, which surprisingly reduces to finding secret-sharing matroids when the closure operator is a matroid. Based on this reformulation, we can easily prove that any multiple unicast where each node receives at least as many arcs as there are sources is solvable by linear functions. We also give an alternative proof that any nontrivial multiple unicast with two source-receiver pairs is always solvable over all sufficiently large alphabets. Based on singular properties of the closure operator, we are able to generalise the way in which networks can be split into two distinct parts; we also provide a new way of identifying and removing useless nodes in a network. We also introduce the concept of network sharing, where one solvable network can be used to accommodate another solvable network coding instance. Finally, the guessing graph approach to network coding solvability is generalised to any closure operator, which yields bounds on the amount of information that can be transmitted through a network.

Connected through hyperedge HE-1 (induced by source paper "finite dynamical systems hat games and coding theory"):
  with members:
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "on a duality between recoverable distributed storage and index coding"
    - "an equivalence between network coding and index coding"
    - "graph theoretical constructions for graph entropy and network coding based communications"
    - "on the index coding problem and its relation to network coding and matroid theory"
    - "broadcasting with side information"

Connected through hyperedge HE-2 (induced by source paper "on the possible values of the entropy of undirected graphs"):
  with members:
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "reduction and fixed points of boolean networks and linear network coding solvability"
    - "graph theoretical constructions for graph entropy and network coding based communications"
    - "positive circuits and maximal number of fixed points in discrete dynamical systems"

Connected through hyperedge HE-3 (induced by source paper "reduction and fixed points of boolean networks and linear network coding solvability"):
  with members:
    - "fixed points of boolean networks guessing graphs and coding theory"
    - "on a duality between recoverable distributed storage and index coding"
    - "fixed point theorems for boolean networks expressed in terms of forbidden subnetworks"
    - "graph theoretical constructions for graph entropy and network coding based communications"
    - "on the index coding problem and its relation to network coding and matroid theory"
    - "positive circuits and maximal number of fixed points in discrete dynamical systems"

Connected through hyperedge HE-4 (induced by source paper "fixed points of boolean networks guessing graphs and coding theory"):
  with members:
    - "fixed point theorems for boolean networks expressed in terms of forbidden subnetworks"
    - "graph theoretical constructions for graph entropy and network coding based communications"
    - "positive circuits and maximal number of fixed points in discrete dynamical 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)