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: "generating dependent random variables over networks"
  Abstract: In this paper we study the problem of generation of dependent random variables, known as the "coordination capacity" [4,5], in multiterminal networks. In this model $m$ nodes of the network are observing i.i.d. repetitions of $X^{(1)}$, $X^{(2)}$,..., $X^{(m)}$ distributed according to $q(x^{(1)},...,x^{(m)})$. Given a joint distribution $q(x^{(1)},...,x^{(m)},y^{(1)},...,y^{(m)})$, the final goal of the $i^{th}$ node is to construct the i.i.d. copies of $Y^{(i)}$ after the communication over the network where $X^{(1)}$, $X^{(2)}$,..., $X^{(m)}, Y^{(1)}$, $Y^{(2)}$,..., $Y^{(m)}$ are jointly distributed according to $q(x^{(1)},...,x^{(m)},y^{(1)},...,y^{(m)})$. To do this, the nodes can exchange messages over the network at rates not exceeding the capacity constraints of the links. This problem is difficult to solve even for the special case of two nodes. In this paper we prove new inner and outer bounds on the achievable rates for networks with two nodes.

Connected through hyperedge HE-1 (induced by source paper "coordination through shared randomness"):
  with members:
    - "communication for generating correlation a survey"
    - "on the optimality of secret key agreement via omniscience"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "secure cascade channel synthesis"
    - "on non interactive simulation of joint distributions"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"

Connected through hyperedge HE-2 (induced by source paper "distributed source simulation with no communication"):
  with members:
    - "decidability of non interactive simulation of joint distributions"
    - "secure cascade channel synthesis"
    - "on non interactive simulation of joint distributions"
    - "a stronger soft covering lemma and applications"
    - "zero error coordination"
    - "exact common information"
    - "analysis of boolean functions"
    - "simulation of a channel with another channel"

Connected through hyperedge HE-3 (induced by source paper "coordination using individually shared randomness"):
  with members:
    - "distributed channel synthesis"
    - "achievability proof via output statistics of random binning"
    - "channel simulation via interactive communications"

Connected through hyperedge HE-4 (induced by source paper "r enyi resolvability and its applications to the wiretap channel"):
  with members:
    - "corrections to wyner s common information under r enyi divergence measures"
    - "exact channel synthesis"
    - "asymptotic coupling and its applications in information theory"
    - "exact random coding secrecy exponents for the wiretap channel"
    - "analysis of remaining uncertainties and exponents under various conditional r e nyi entropies"
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "distributed simulation of continuous random variables"

Connected through hyperedge HE-5 (induced by source paper "joint coordination channel coding for strong coordination over noisy channels based on polar codes"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "strong coordination over noisy channels is separation sufficient"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "polar codes for broadcast channels"
    - "strong coordination over multi hop line networks"
    - "asymmetric error correction and flash memory rewriting using polar codes"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"

Connected through hyperedge HE-6 (induced by source paper "strong coordination over noisy channels is separation sufficient"):
  with members:
    - "strong coordination over multi hop line networks"
    - "when is it possible to simulate a dmc channel from another"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"
    - "coordination via a relay"
    - "hybrid codes needed for coordination over the point to point channel"

Connected through hyperedge HE-7 (induced by source paper "secure cascade channel synthesis"):
  with members:
    - "strong coordination over multi hop line networks"
    - "secrecy in cascade networks"
    - "the likelihood encoder for lossy source compression"
    - "strong coordination over a line network"
    - "distributed channel synthesis"
    - "rate distortion theory for secrecy systems"
    - "achievability proof via output statistics of random binning"
    - "secure channel simulation"

Connected through hyperedge HE-8 (induced by source paper "strong coordination over multi hop line networks"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "secure cascade channel synthesis"
    - "coordination in state dependent distributed networks the two agent case"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"

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)