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: "reconciling similar sets of data"
  Abstract: In this work, we consider the problem of synchronizing two sets of data where the size of the symmetric difference between the sets is small and, in addition, the elements in the symmetric difference are related through the Hamming distance metric. Upper and lower bounds are derived on the minimum amount of information exchange. Furthermore, explicit encoding and decoding algorithms are provided for many cases.

Connected through hyperedge HE-1 (induced by source paper "data dissemination problem in wireless networks"):
  with members:
    - "fundamental limits of caching"
    - "an equivalence between network coding and index coding"
    - "coded cooperative data exchange problem for general topologies"
    - "optimal index codes with near extreme rates"
    - "error correction for index coding with side information"
    - "on the security of index coding with side information"
    - "on coding for cooperative data exchange"
    - "on the index coding problem and its relation to network coding and matroid theory"

Connected through hyperedge HE-2 (induced by source paper "simple multi party set reconciliation"):
  with members:
    - "multi party set reconciliation using characteristic polynomials"
    - "on thresholds for the appearance of 2 cores in mixed hypergraphs"
    - "randomized algorithms for tracking distributed count frequencies and ranks"
    - "invertible bloom lookup tables"
    - "analyzing network coding gossip made easy"
    - "fuzzy extractors how to generate strong keys from biometrics and other noisy data"
    - "straggler identification in round trip data streams via newton s identities and invertible bloom filters"

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)