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: "homonym population protocols"
  Abstract: The population protocol model was introduced by Angluin \emph{et al.} as a model of passively mobile anonymous finite-state agents. This model computes a predicate on the multiset of their inputs via interactions by pairs. The original population protocol model has been proved to compute only semi-linear predicates and has been recently extended in various ways. In the community protocol model by Guerraoui and Ruppert, agents have unique identifiers but may only store a finite number of the identifiers they already heard about. The community protocol model provides the power of a Turing machine with a $O(n\log n)$ space. We consider variations on the two above models and we obtain a whole landscape that covers and extends already known results. Namely, by considering the case of homonyms, that is to say the case when several agents may share the same identifier, we provide a hierarchy that goes from the case of no identifier (population protocol model) to the case of unique identifiers (community protocol model). We obtain in particular that any Turing Machine on space $O(\log^{O(1)} n)$ can be simulated with at least $O(\log^{O(1)} n)$ identifiers, a result filling a gap left open in all previous studies. Our results also extend and revisit in particular the hierarchy provided by Chatzigiannakis \emph{et al.} on population protocols carrying Turing Machines on limited space, solving the problem of the gap left by this work between per-agent space $o(\log \log n)$ (proved to be equivalent to population protocols) and $O(\log n)$ (proved to be equivalent to Turing machines).

Connected through hyperedge HE-1 (induced by source paper "efficient self stabilizing leader election in population protocols"):
  with members:
    - "almost logarithmic time space optimal leader election in population protocols"
    - "hardness of computing and approximating predicates and functions with leaderless population protocols"
    - "population protocols with faulty interactions the impact of a leader"
    - "naming and counting in anonymous unknown dynamic networks"
    - "playing with population protocols"

Connected through hyperedge HE-2 (induced by source paper "a survey on analog models of computation"):
  with members:
    - "real time computability of real numbers by chemical reaction networks"
    - "robustness of expressivity in chemical reaction networks"
    - "efficient analog circuits for boolean satisfiability"
    - "axiomatizing analog algorithms"
    - "physical computation p poly and p log"
    - "a uniform substitution calculus for differential dynamic logic"
    - "on recurrent reachability for continuous linear dynamical systems"
    - "learning to transduce with unbounded memory"

Connected through hyperedge HE-3 (induced by source paper "global versus local computations fast computing with identifiers"):
  with members:
    - "stable leader election in population protocols requires linear time"
    - "passively mobile communicating machines that use restricted space"
    - "the computational power of population protocols"

Connected through hyperedge HE-4 (induced by source paper "connectivity preserving network transformers"):
  with members:
    - "terminating distributed construction of shapes and patterns in a fair solution of automata"
    - "netcs a new simulator of population protocols and network constructors"
    - "homonym population protocols or providing a small space of computation using a few identifiers"
    - "universal computation with arbitrary polyomino tiles in non cooperative self assembly"
    - "simple and efficient local codes for distributed stable network construction"
    - "active self assembly of algorithmic shapes and patterns in polylogarithmic time"
    - "timing in chemical reaction networks"
    - "naming and counting in anonymous unknown dynamic networks"

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)