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 "gathering in dynamic rings"):
  Abstract: The gathering problem requires a set of mobile agents, arbitrarily positioned at different nodes of a network to group within finite time at the same location, not fixed in advanced. #R##N#The extensive existing literature on this problem shares the same fundamental assumption: the topological structure does not change during the rendezvous or the gathering; this is true also for those investigations that consider faulty nodes. In other words, they only consider static graphs. In this paper we start the investigation of gathering in dynamic graphs, that is networks where the topology changes continuously and at unpredictable locations. #R##N#We study the feasibility of gathering mobile agents, identical and without explicit communication capabilities, in a dynamic ring of anonymous nodes; the class of dynamics we consider is the classic 1-interval-connectivity. #R##N#We focus on the impact that factors such as chirality (i.e., a common sense of orientation) and cross detection (i.e., the ability to detect, when traversing an edge, whether some agent is traversing it in the other direction), have on the solvability of the problem. We provide a complete characterization of the classes of initial configurations from which the gathering problem is solvable in presence and in absence of cross detection and of chirality. The feasibility results of the characterization are all constructive: we provide distributed algorithms that allow the agents to gather. In particular, the protocols for gathering with cross detection are time optimal. We also show that cross detection is a powerful computational element. #R##N#We prove that, without chirality, knowledge of the ring size is strictly more powerful than knowledge of the number of agents; on the other hand, with chirality, knowledge of n can be substituted by knowledge of k, yielding the same classes of feasible initial configurations.

Includes members:
  Member "self stabilizing robots in highly dynamic environments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "want to gather no need to chatter")
  Member "gracefully degrading consensus and k set agreement in directed dynamic networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a topological perspective on distributed network algorithms")
  Member "byzantine gathering in networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "want to gather no need to chatter")
  Member "live exploration of dynamic rings":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "live exploration with mobile robots in a dynamic ring revisited")
  Member "getting close without touching near gathering for autonomous mobile robots":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "positional encoding by robots with non rigid movements")
  Member "mobile agents rendezvous in spite of a malicious agent":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "symmetric rendezvous with advice how to rendezvous in a disk")
  Member "fault tolerant rendezvous in networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "deterministic meeting of sniffing agents in the plane")
  Member "how to meet asynchronously at polynomial cost":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "want to gather no need to chatter")

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)