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: "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.

Connected through hyperedge HE-1 (induced by source paper "live exploration with mobile robots in a dynamic ring revisited"):
  with members:
    - "deterministic dispersion of mobile robots in dynamic rings"
    - "live exploration of dynamic rings"
    - "on temporal graph exploration"

Connected through hyperedge HE-2 (induced by source paper "patrolling on dynamic ring networks"):
  with members:
    - "polynomial counting in anonymous dynamic networks with applications to anonymous dynamic algebraic computations"
    - "self stabilizing robots in highly dynamic environments"
    - "an introduction to temporal graphs an algorithmic perspective"
    - "live exploration of dynamic rings"
    - "fence patrolling by mobile agents with distinct speeds"
    - "on temporal graph exploration"
    - "dmvp foremost waypoint coverage of time varying graphs"
    - "agreement in directed dynamic networks"

Connected through hyperedge HE-3 (induced by source paper "gracefully degrading gathering in dynamic rings"):
  with members:
    - "stream graphs and link streams for the modeling of interactions over time"
    - "computability of perpetual exploration in highly dynamic rings"
    - "self stabilizing robots in highly dynamic environments"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "live exploration of dynamic rings"
    - "the next 700 impossibility results in time varying graphs"
    - "introducing speculation in self stabilization an application to mutual exclusion"
    - "shortest fastest and foremost broadcast in dynamic networks"

Connected through hyperedge HE-4 (induced by source paper "self stabilizing robots in highly dynamic environments"):
  with members:
    - "computability of perpetual exploration in highly dynamic rings"
    - "live exploration of dynamic rings"
    - "enabling minimal dominating set in highly dynamic distributed systems"
    - "the next 700 impossibility results in time varying graphs"
    - "time varying graphs and dynamic networks"
    - "exploration of periodically varying graphs"
    - "on the self stabilization of mobile robots in graphs"

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)