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: "knowledge level of symmetry and time of leader election"
  Abstract: We study the time needed for deterministic leader election in the ${\cal LOCAL}$ model, where in every round a node can exchange any messages with its neighbors and perform any local computations. The topology of the network is unknown and nodes are unlabeled, but ports at each node have arbitrary fixed labelings which, together with the topology of the network, can create asymmetries to be exploited in leader election. We consider two versions of the leader election problem: strong LE in which exactly one leader has to be elected, if this is possible, while all nodes must terminate declaring that leader election is impossible otherwise, and weak LE, which differs from strong LE in that no requirement on the behavior of nodes is imposed, if leader election is impossible. We show that the time of leader election depends on three parameters of the network: its diameter $D$, its size $n$, and its level of symmetry $\lambda$, which, when leader election is feasible, is the smallest depth at which some node has a unique view of the network. It also depends on the knowledge by the nodes, or lack of it, of parameters $D$ and $n$.

Connected through hyperedge HE-1 (induced by source paper "leader election in trees with customized advice"):
  with members:
    - "time vs information tradeoffs for leader election in anonymous trees"

Connected through hyperedge HE-2 (induced by source paper "impact of knowledge on election time in anonymous networks"):
  with members:
    - "deterministic leader election in o d log n time with messages of size o 1"
    - "topology recognition with advice"
    - "time vs information tradeoffs for leader election in anonymous trees"
    - "election vs selection two ways of finding the largest node in a graph"
    - "leader election for anonymous asynchronous agents in arbitrary networks"

Connected through hyperedge HE-3 (induced by source paper "topology recognition and leader election in colored networks"):
  with members:
    - "time vs information tradeoffs for leader election in anonymous trees"
    - "election vs selection two ways of finding the largest node in a graph"
    - "leader election for anonymous asynchronous agents in arbitrary networks"

Connected through hyperedge HE-4 (induced by source paper "deterministic leader election takes theta d log n bit rounds"):
  with members:
    - "impact of knowledge on election time in anonymous networks"
    - "sublinear bounds for randomized leader election"

Connected through hyperedge HE-5 (induced by source paper "time vs information tradeoffs for leader election in anonymous trees"):
  with members:
    - "election vs selection two ways of finding the largest node in a graph"
    - "leader election for anonymous asynchronous agents in arbitrary networks"

Connected through hyperedge HE-6 (induced by source paper "distinguishing views in symmetric networks a tight lower bound"):
  with members:
    - "leader election for anonymous asynchronous agents in arbitrary networks"
    - "decidability classes for mobile agents computing"

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.DC(Distributed, Parallel, and Cluster Computing)