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: "error correcting functional index codes generalized exclusive laws and graph coloring"
  Abstract: We consider the \emph{functional index coding problem} over an error-free broadcast network in which a source generates a set of messages and there are multiple receivers, each holding a set of functions of source messages in its cache, called the \emph{Has-set}, and demands to know another set of functions of messages, called the \emph{Want-set}. Cognizant of the receivers' \emph{Has-sets}, the source aims to satisfy the demands of each receiver by making coded transmissions, called a \emph{functional index code}. The objective is to minimize the number of such transmissions required. The restriction a receiver's demands pose on the code is represented via a constraint called the \emph{generalized exclusive law} and obtain a code using the \emph{confusion graph} constructed using these constraints. Bounds on the size of an optimal code based on the parameters of the confusion graph are presented. Next, we consider the case of erroneous transmissions and provide a necessary and sufficient condition that an FIC must satisfy for correct decoding of desired functions at each receiver and obtain a lower bound on the length of an error-correcting FIC.

Connected through hyperedge HE-1 (induced by source paper "code equivalences between network codes with link errors and index codes with side information errors"):
  with members:
    - "index coding with erroneous side information"
    - "an equivalence between secure network and index coding"
    - "a relation between network computation and functional index coding problems"
    - "index coding with coded side information"
    - "blind index coding"
    - "on a duality between recoverable distributed storage and index coding"
    - "topological interference management through index coding"
    - "on the capacity region for index coding"

Connected through hyperedge HE-2 (induced by source paper "codes for updating linear functions over small fields"):
  with members:
    - "updating content in cache aided coded multicast"
    - "multi version coding for consistent distributed storage of correlated data updates"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "vector network coding based on subspace codes outperforms scalar linear network coding"
    - "multi version coding an information theoretic perspective of consistent distributed storage"
    - "index coding with coded side information"
    - "fundamental limits on communication for oblivious updates in storage networks"
    - "coding for errors and erasures in random network coding"

Connected through hyperedge HE-3 (induced by source paper "generalized index coding problem and discrete polymatroids"):
  with members:
    - "index coding with coded side information"
    - "linear network coding linear index coding and representable discrete polymatroids"
    - "optimal index codes for a class of multicast networks with receiver side information"
    - "on the index coding problem and its relation to network coding and matroid theory"

Connected through hyperedge HE-4 (induced by source paper "a relation between network computation and functional index coding problems"):
  with members:
    - "capacity of sum networks for different message alphabets"
    - "three stories on a two sided coin index coding locally recoverable distributed storage and guessing games on graphs"
    - "index coding with coded side information"
    - "an equivalence between network coding and index coding"
    - "optimal index codes for a class of multicast networks with receiver side information"
    - "on network coding for sum networks"
    - "network coding for computing cut set bounds"
    - "optimal computation of symmetric boolean functions in collocated networks"

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)