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: "win move is coordination free sometimes"
  Abstract: In a recent paper by Hellerstein [15], a tight relationship was conjectured between the number of strata of a Datalog¬ program and the number of "coordination stages" required for its distributed computation. Indeed, Ameloot et al. [9] showed that a query can be computed by a coordination-free relational transducer network iff it is monotone, thus answering in the affirmative a variant of Hellerstein's CALM conjecture, based on a particular definition of coordination-free computation. In this paper, we present three additional models for declarative networking. In these variants, relational transducers have limited access to the way data is distributed. This variation allows transducer networks to compute more queries in a coordination-free manner: e.g., a transducer can check whether a ground atom A over the input schema is in the "scope" of the local node, and then send either A or ¬A to other nodes.   We show the surprising result that the query given by the well-founded semantics of the unstratifiable win-move program is coordination-free in some of the models we consider. We also show that the original transducer network model [9] and our variants form a strict hierarchy of classes of coordination-free queries. Finally, we identify different syntactic fragments of Datalog∀¬¬, called semi-monotone programs, which can be used as declarative network programming languages, whose distributed computation is guaranteed to be eventually consistent and coordination-free.

Connected through hyperedge HE-1 (induced by source paper "putting logic based distributed systems on stable grounds"):
  with members:
    - "relational transducers for declarative networking"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-2 (induced by source paper "parallel correctness and containment for conjunctive queries with union and negation"):
  with members:
    - "parallel correctness and transferability for conjunctive queries"
    - "skew in parallel query processing"
    - "communication steps for parallel query processing"
    - "shark sql and rich analytics at scale"
    - "relational transducers for declarative networking"

Connected through hyperedge HE-3 (induced by source paper "parallel correctness and transferability for conjunctive queries"):
  with members:
    - "size bounds and query plans for relational joins"
    - "worst case optimal algorithms for parallel query processing"
    - "parallel correctness and containment for conjunctive queries with union and negation"
    - "skew in parallel query processing"
    - "communication steps for parallel query processing"
    - "shark sql and rich analytics at scale"

Connected through hyperedge HE-4 (induced by source paper "a datalog based computational model for coordination free data parallel systems"):
  with members:
    - "parallel correctness and transferability for conjunctive queries"
    - "on the calm principle for bulk synchronous parallel computation"
    - "blazes coordination analysis for distributed programs"
    - "relational transducers for declarative networking"

Connected through hyperedge HE-5 (induced by source paper "on the calm principle for bulk synchronous parallel computation"):
  with members:
    - "blazes coordination analysis for distributed programs"
    - "shark sql and rich analytics at scale"
    - "bsp vs mapreduce"
    - "relational transducers for declarative networking"

Connected through hyperedge HE-6 (induced by source paper "first order provenance games"):
  with members:
    - "on the limitations of provenance for queries with difference"
    - "provenance for aggregate queries"

Connected through hyperedge HE-7 (induced by source paper "blazes coordination analysis for distributed programs"):
  with members:
    - "relational transducers for declarative networking"

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.DB(Databases)