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 "simple and efficient local codes for distributed stable network construction"):
  Abstract: In this work, we study protocols so that populations of distributed processes can construct networks. In order to highlight the basic principles of distributed network construction we keep the model minimal in all respects. In particular, we assume finite-state processes that all begin from the same initial state and all execute the same protocol (i.e. the system is homogeneous). Moreover, we assume pairwise interactions between the processes that are scheduled by an adversary. The only constraint on the adversary scheduler is that it must be fair. In order to allow processes to construct networks, we let them activate and deactivate their pairwise connections. When two processes interact, the protocol takes as input the states of the processes and the state of the their connection and updates all of them. Initially all connections are inactive and the goal is for the processes, after interacting and activating/deactivating connections for a while, to end up with a desired stable network. We give protocols (optimal in some cases) and lower bounds for several basic network construction problems such as spanning line, spanning ring, spanning star, and regular network. We provide proofs of correctness for all of our protocols and analyze the expected time to convergence of most of them under a uniform random scheduler that selects the next pair of interacting processes uniformly at random from all such pairs. Finally, we prove several universality results by presenting generic protocols that are capable of simulating a Turing Machine (TM) and exploiting it in order to construct a large class of networks.

Includes members:
  Member "terminating distributed construction of shapes and patterns in a fair solution of automata":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mobile ram and shape formation by programmable particles")
  Member "active self assembly of algorithmic shapes and patterns in polylogarithmic time":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "simulation of programmable matter systems using active tile based self assembly")
  Member "ameba inspired self organizing particle systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "terminating distributed construction of shapes and patterns in a fair solution of automata")
  Member "timing in chemical reaction networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "communication cost of consensus for nodes with limited memory")
  Member "massively parallel computing on an organic molecular layer":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "terminating distributed construction of shapes and patterns in a fair solution of automata")
  Member "passively mobile communicating machines that use restricted space":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "robust comparison in population protocols")
  Member "the computational power of population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "robust comparison in 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)