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: "on the communication complexity of secret key generation in the multiterminal source model"
  Abstract: Communication complexity refers to the minimum rate of public communication required for generating a maximal-rate secret key (SK) in the multiterminal source model of Csiszar and Narayan. Tyagi recently characterized this communication complexity for a two-terminal system. We extend the ideas in Tyagi's work to derive a lower bound on communication complexity in the general multiterminal setting. In the important special case of the complete graph pairwise independent network (PIN) model, our bound allows us to determine the exact linear communication complexity, i.e., the communication complexity when the communication and SK are restricted to be linear functions of the randomness available at the terminals.

Connected through hyperedge HE-1 (induced by source paper "on the public communication needed to achieve sk capacity in the multiterminal source model"):
  with members:
    - "information complexity is computable"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "the communication complexity of achieving sk capacity in a class of pin models"
    - "achieving sk capacity in the source model when must all terminals talk"
    - "coded cooperative data exchange for a secret key"
    - "wyner s common information generalizations and a new lossy source coding interpretation"
    - "outer bounds for multiterminal source coding via a strong data processing inequality"
    - "common information and secret key capacity"

Connected through hyperedge HE-2 (induced by source paper "bounds on the communication rate needed to achieve sk capacity in the hypergraphical source model"):
  with members:
    - "incremental and decremental secret key agreement"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "the communication complexity of achieving sk capacity in a class of pin models"
    - "coded cooperative data exchange for a secret key"
    - "wyner s common information generalizations and a new lossy source coding interpretation"
    - "common information and secret key capacity"
    - "coded cooperative data exchange in multihop networks"
    - "perfect omniscience perfect secrecy and steiner tree packing"

Connected through hyperedge HE-3 (induced by source paper "the communication complexity of achieving sk capacity in a class of pin models"):
  with members:
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "achieving sk capacity in the source model when must all terminals talk"
    - "coded cooperative data exchange for a secret key"
    - "common information and secret key capacity"
    - "coded cooperative data exchange in multihop networks"
    - "perfect omniscience perfect secrecy and steiner tree packing"
    - "information inequalities for joint distributions with interpretations and applications"

Connected through hyperedge HE-4 (induced by source paper "coded cooperative data exchange for a secret key"):
  with members:
    - "on the existence of mds codes over small fields with constrained generator matrices"
    - "common information and secret key capacity"
    - "coded cooperative data exchange in multihop networks"
    - "an equivalence between network coding and index coding"
    - "coded cooperative data exchange problem for general topologies"
    - "data exchange problem with helpers"
    - "optimal deterministic polynomial time data exchange for omniscience"
    - "a note on algorithms for connected set cover problem and fault tolerant connected set cover problem"

Connected through hyperedge HE-5 (induced by source paper "achieving sk capacity in the source model when must all terminals talk"):
  with members:
    - "common information and secret key capacity"
    - "perfect omniscience perfect secrecy and steiner tree packing"

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)