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 "connectivity preserving network transformers"):
  Abstract: The Population Protocol model is a distributed model that concerns systems of very weak computational entities that cannot control the way they interact. The model of Network Constructors is a variant of Population Protocols capable of (algorithmically) constructing abstract networks. Both models are characterized by a fundamental inability to terminate. In this work, we investigate the minimal strengthenings of the latter that could overcome this inability. Our main conclusion is that initial connectivity of the communication topology combined with the ability of the protocol to transform the communication topology plus a few other local and realistic assumptions are sufficient to guarantee not only termination but also the maximum computational power that one can hope for in this family of models. The technique is to transform any initial connected topology to a less symmetric and detectable topology without ever breaking its connectivity during the transformation. The target topology of all of our transformers is the spanning line and we call Terminating Line Transformation the corresponding problem. We first study the case in which there is a pre-elected unique leader and give a time-optimal protocol for Terminating Line Transformation. We then prove that dropping the leader without additional assumptions leads to a strong impossibility result. In an attempt to overcome this, we equip the nodes with the ability to tell, during their pairwise interactions, whether they have at least one neighbor in common. Interestingly, it turns out that this local and realistic mechanism is sufficient to make the problem solvable. In particular, we give a very efficient protocol that solves Terminating Line Transformation when all nodes are initially identical. The latter implies that the model computes with termination any symmetric predicate computable by a Turing Machine of space $\Theta(n^2)$.

Includes members:
  Member "homonym population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient self stabilizing leader election in population protocols")
  Member "terminating distributed construction of shapes and patterns in a fair solution of automata":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "mobile ram and shape formation by programmable particles")
  Member "netcs a new simulator of population protocols and network constructors":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "how many cooks spoil the soup")
  Member "homonym population protocols or providing a small space of computation using a few identifiers":
    also connected through other hyperedges:
      (none)
  Member "universal computation with arbitrary polyomino tiles in non cooperative self assembly":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the program size complexity of self assembled paths")
  Member "simple and efficient local codes for distributed stable network construction":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distributed computation and reconfiguration in actively dynamic networks")
  Member "active self assembly of algorithmic shapes and patterns in polylogarithmic time":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "simulation of programmable matter systems using active tile based self assembly")
  Member "timing in chemical reaction networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "communication cost of consensus for nodes with limited memory")

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)