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 for computing cut set bounds"
  Abstract: The following network computing problem is considered. Source nodes in a directed acyclic network generate independent messages and a single receiver node computes a target function f of the messages. The objective is to maximize the average number of times f can be computed per network usage, i.e., the “computing capacity”. The network coding problem for a single-receiver network is a special case of the network computing problem in which all of the source messages must be reproduced at the receiver. For network coding with a single receiver, routing is known to achieve the capacity by achieving the network min-cut upper bound. We extend the definition of min-cut to the network computing problem and show that the min-cut is still an upper bound on the maximum achievable rate and is tight for computing (using coding) any target function in multi-edge tree networks. It is also tight for computing linear target functions in any network. We also study the bound's tightness for different classes of target functions. In particular, we give a lower bound on the computing capacity in terms of the Steiner tree packing number and a different bound for symmetric functions. We also show that for certain networks and target functions, the computing capacity can be less than an arbitrarily small fraction of the min-cut bound.

Connected through hyperedge HE-1 (induced by source paper "expand and randomize an algebraic approach to secure computation"):
  with members:
    - "how to compute modulo prime power sums"
    - "on distributed computing for functions with certain structures"
    - "communication and randomness lower bounds for secure computation"
    - "the capacity of private information retrieval"
    - "the capacity of private information retrieval from coded databases"
    - "comments on cut set bounds on network function computation"
    - "two shannon type problems on secure multi party computations"

Connected through hyperedge HE-2 (induced by source paper "zero error function computation on a directed acyclic network"):
  with members:
    - "improved upper bound on the network function computing capacity"
    - "on computation rates for arithmetic sum"
    - "sum networks from incidence structures construction and capacity analysis"
    - "upper bound on function computation in directed acyclic networks"
    - "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks"
    - "distributed function computation over a rooted directed tree"
    - "on network coding for sum networks"
    - "optimal function computation in directed and undirected graphs"

Connected through hyperedge HE-3 (induced by source paper "improved upper bound on the network function computing capacity"):
  with members:
    - "upper bound on function computation in directed acyclic networks"
    - "on network coding for sum networks"
    - "computing linear functions by linear coding over networks"
    - "optimal function computation in directed and undirected graphs"
    - "linear codes target function classes and network computing capacity"
    - "on network functional compression"
    - "communicating the sum of sources over a network"

Connected through hyperedge HE-4 (induced by source paper "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"):
  with members:
    - "weight enumerators and higher support weights of maximally recoverable codes"
    - "on partial maximally recoverable and maximally recoverable codes"
    - "file updates under random arbitrary insertions and deletions"
    - "synchronizing edits in distributed storage networks"
    - "optimal locally repairable and secure codes for distributed storage systems"
    - "codes with locality for two erasures"
    - "fundamental limits on communication for oblivious updates in storage networks"
    - "explicit maximally recoverable codes with locality"

Connected through hyperedge HE-5 (induced by source paper "condense a reconfigurable knowledge acquisition architecture for future 5g iot"):
  with members:
    - "network coding as a service"
    - "photonic delay systems as machine learning implementations"
    - "software defined networking a comprehensive survey"
    - "communication efficient distributed optimization using an approximate newton type method"
    - "distributed function computation over a rooted directed tree"
    - "linear coding schemes for the distributed computation of subspaces"
    - "internet of things iot a vision architectural elements and future directions"
    - "on network coding for sum networks"

Connected through hyperedge HE-6 (induced by source paper "sum networks from incidence structures construction and capacity analysis"):
  with members:
    - "low subpacketization schemes for coded caching"
    - "sum networks from undirected graphs construction and capacity analysis"
    - "coded caching with low subpacketization levels"
    - "coded caching for networks with the resolvability property"
    - "capacity of sum networks for different message alphabets"
    - "upper bound on function computation in directed acyclic networks"
    - "fractional repetition codes with flexible repair from combinatorial designs"
    - "on the multiple unicast capacity of 3 source 3 terminal directed acyclic networks"

Connected through hyperedge HE-7 (induced by source paper "rate distortion for lossy in network function computation information dissipation and sequential reverse water filling"):
  with members:
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "computing linear transformations with unreliable components"
    - "a generalized cut set bound for deterministic multi flow networks and its applications"
    - "dissipation of information in channels with input constraints"
    - "a generalized typicality for abstract alphabets"
    - "strong data processing inequalities and phi sobolev inequalities for discrete channels"
    - "on cooperation in multi terminal computation and rate distortion"
    - "optimal function computation in directed and undirected graphs"

Connected through hyperedge HE-8 (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"
    - "error correcting functional index codes generalized exclusive laws and graph coloring"
    - "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"
    - "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)