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: "stable leader election in population protocols requires linear time"
  Abstract: A population protocol *stably elects a leader* if, for all $n$, starting from an initial configuration with $n$ agents each in an identical state, with probability 1 it reaches a configuration $\mathbf{y}$ that is correct (exactly one agent is in a special leader state $\ell$) and stable (every configuration reachable from $\mathbf{y}$ also has a single agent in state $\ell$). We show that any population protocol that stably elects a leader requires $\Omega(n)$ expected "parallel time" --- $\Omega(n^2)$ expected total pairwise interactions --- to reach such a stable configuration. Our result also informs the understanding of the time complexity of chemical self-organization by showing an essential difficulty in generating exact quantities of molecular species quickly.

Connected through hyperedge HE-1 (induced by source paper "constructive expressive power of population protocols"):
  with members:
    - "parameterized analysis of immediate observation petri nets"
    - "towards efficient verification of population protocols"
    - "the computational power of population protocols"

Connected through hyperedge HE-2 (induced by source paper "noidy conmunixatipn on the convergence of the averaging population protocol"):
  with members:
    - "almost logarithmic time space optimal leader election in population protocols"
    - "fast space optimal leader election in population protocols"
    - "erasure correction for noisy radio networks"
    - "limits for rumor spreading in stochastic populations"
    - "ignore or comply on breaking symmetry in consensus"
    - "broadcasting in noisy radio networks"
    - "space optimal majority in population protocols"
    - "rapid asynchronous plurality consensus"

Connected through hyperedge HE-3 (induced by source paper "composable computation in discrete chemical reaction networks"):
  with members:
    - "efficient size estimation and impossibility of termination in uniform dense population protocols"
    - "output oblivious stochastic chemical reaction networks"
    - "fast space optimal leader election in population protocols"
    - "composable rate independent computation in continuous chemical reaction networks"
    - "hardness of computing and approximating predicates and functions with leaderless population protocols"
    - "space optimal majority in population protocols"
    - "time space trade offs in molecular computation"
    - "time space trade offs in population protocols"

Connected through hyperedge HE-4 (induced by source paper "communication cost of consensus for nodes with limited memory"):
  with members:
    - "global majority consensus by local majority polling on graphs of a given degree sequence"
    - "population protocols are fast"
    - "population protocols for leader election and exact majority with o log 2 n states and o log 2 n convergence time"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"
    - "discordant voting processes on finite graphs"
    - "plurality consensus in the gossip model"
    - "determining majority in networks with local interactions and very small local memory"

Connected through hyperedge HE-5 (induced by source paper "on counting the population size"):
  with members:
    - "exact size counting in uniform population protocols in nearly logarithmic time"
    - "efficient size estimation and impossibility of termination in uniform dense population protocols"
    - "fast space optimal leader election in population protocols"
    - "simple load balancing"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"
    - "determining majority in networks with local interactions and very small local memory"
    - "the computational power of population protocols"

Connected through hyperedge HE-6 (induced by source paper "broadcast distributed voting algorithm in population protocols"):
  with members:
    - "distributed voting ranking with optimal number of states per node"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"
    - "time and space optimal counting in population protocols"
    - "deterministic function computation with chemical reaction networks"

Connected through hyperedge HE-7 (induced by source paper "population protocols with unreliable communication"):
  with members:
    - "verification of immediate observation population protocols"
    - "population protocols with faulty interactions the impact of a leader"
    - "on the power of weaker pairwise interaction fault tolerant simulation of population protocols"
    - "passively mobile communicating logarithmic space machines"
    - "the computational power of population protocols"

Connected through hyperedge HE-8 (induced by source paper "leader election requires logarithmic time in population protocols"):
  with members:
    - "almost logarithmic time space optimal leader election in population protocols"
    - "fast space optimal leader election in population protocols"
    - "logarithmic expected time leader election in population protocol model"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"

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)