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: "almost logarithmic time space optimal leader election in population protocols"
  Abstract: The model of population protocols refers to a large collection of simple indistinguishable entities, frequently called agents. The agents communicate and perform computation through pairwise interactions. We study fast and space efficient leader election in population of cardinality $n$ governed by a random scheduler, where during each time step the scheduler uniformly at random selects for interaction exactly one pair of agents. #R##N#We propose the first $o(\log^2 n)$-time leader election protocol. Our solution operates in expected parallel time $O(\log n\log\log n)$ which is equivalent to $O(n \log n\log\log n)$ pairwise interactions. This is the fastest currently known leader election algorithm in which each agent utilises asymptotically optimal number of $O(\log\log n)$ states. The new protocol incorporates and amalgamates successfully the power of assorted synthetic coins with variable rate phase clocks.

Connected through hyperedge HE-1 (induced by source paper "the power of global knowledge on self stabilizing population protocols"):
  with members:
    - "determining majority in networks with local interactions and very small local memory"

Connected through hyperedge HE-2 (induced by source paper "noidy conmunixatipn on the convergence of the averaging population protocol"):
  with members:
    - "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"
    - "efficient k party voting with two choices"

Connected through hyperedge HE-3 (induced by source paper "efficient self stabilizing leader election in population protocols"):
  with members:
    - "hardness of computing and approximating predicates and functions with leaderless population protocols"
    - "population protocols with faulty interactions the impact of a leader"
    - "homonym population protocols"
    - "naming and counting in anonymous unknown dynamic networks"
    - "playing with population protocols"

Connected through hyperedge HE-4 (induced by source paper "leader election requires logarithmic time in population protocols"):
  with members:
    - "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"
    - "stable leader election in population protocols requires linear time"

Connected through hyperedge HE-5 (induced by source paper "uniform partition in population protocol model under weak fairness"):
  with members:
    - "logarithmic expected time leader election in population protocol model"
    - "stable leader election in population protocols requires linear time"
    - "the computational power of population protocols"

Connected through hyperedge HE-6 (induced by source paper "efficient size estimation and impossibility of termination in uniform dense population protocols"):
  with members:
    - "on counting the population size"
    - "population protocols are fast"
    - "fast space optimal leader election in population protocols"
    - "logarithmic expected time leader election in population protocol model"
    - "hardness of computing and approximating predicates and functions with leaderless population protocols"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"
    - "time and space optimal counting in population protocols"

Connected through hyperedge HE-7 (induced by source paper "logarithmic expected time leader election in population protocol model"):
  with members:
    - "leader election requires logarithmic time in population protocols"
    - "fast space optimal leader election in population protocols"
    - "space optimal majority in population protocols"
    - "time space trade offs in population protocols"
    - "stable leader election in population protocols requires linear time"

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)