human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "logarithmic expected time leader election in population protocol model"):
  Abstract: In this paper, the leader election problem in the population protocol model is considered. A leader election protocol with logarithmic stabilization time is given. Given a rough knowledge m of the population size n such that m >= \log_2 n and m=O(log n), the proposed protocol guarantees that exactly one leader is elected from n agents within O(log n) parallel time in expectation and the unique leader is kept forever thereafter. The number of states per agent of the protocol is O(log n).

Includes members:
  Member "leader election requires logarithmic time in population protocols":
    also connected through other hyperedges:
      (none)
  Member "almost logarithmic time space optimal leader election in population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the power of global knowledge on self stabilizing population protocols")
  Member "fast space optimal leader election in population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "robust comparison in population protocols")
  Member "space optimal majority in population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "robust comparison in population protocols")
  Member "time space trade offs in population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "robust comparison in population protocols")
  Member "stable leader election in population protocols requires linear time":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "constructive expressive power of population protocols")

Question: Please tell me which class the source paper 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)