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: "anonymous meeting in networks"
  Abstract: A team consisting of an unknown number of mobile agents, starting from different nodes of an unknown network, possibly at different times, have to meet at the same node. Agents are anonymous (identical), execute the same deterministic algorithm and move in synchronous rounds along links of the network. Which configurations are gatherable and how to gather all of them deterministically by the same algorithm? #R##N#We give a complete solution of this gathering problem in arbitrary networks. We characterize all gatherable configurations and give two universal deterministic gathering algorithms, i.e., algorithms that gather all gatherable configurations. The first algorithm works under the assumption that an upper bound n on the size of the network is known. In this case our algorithm guarantees gathering with detection, i.e., the existence of a round for any gatherable configuration, such that all agents are at the same node and all declare that gathering is accomplished. If no upper bound on the size of the network is known, we show that a universal algorithm for gathering with detection does not exist. Hence, for this harder scenario, we construct a second universal gathering algorithm, which guarantees that, for any gatherable configuration, all agents eventually get to one node and stop, although they cannot tell if gathering is over. The time of the first algorithm is polynomial in the upper bound n on the size of the network, and the time of the second algorithm is polynomial in the (unknown) size itself. #R##N#Our results have an important consequence for the leader election problem for anonymous agents in arbitrary graphs. For anonymous agents in graphs, leader election turns out to be equivalent to gathering with detection. Hence, as a by-product, we obtain a complete solution of the leader election problem for anonymous agents in arbitrary graphs.

Connected through hyperedge HE-1 (induced by source paper "want to gather no need to chatter"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "byzantine gathering in networks"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-2 (induced by source paper "latecomers help to meet deterministic anonymous gathering in the plane"):
  with members:
    - "using time to break symmetry universal deterministic anonymous rendezvous"
    - "asynchronous approach in the plane a deterministic polynomial algorithm"
    - "byzantine gathering in networks"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-3 (induced by source paper "using time to break symmetry universal deterministic anonymous rendezvous"):
  with members:
    - "byzantine gathering in networks"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-4 (induced by source paper "gathering in dynamic rings"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "byzantine gathering in networks"
    - "live exploration of dynamic rings"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "mobile agents rendezvous in spite of a malicious agent"
    - "fault tolerant rendezvous in networks"
    - "how to meet asynchronously at polynomial cost"

Connected through hyperedge HE-5 (induced by source paper "deterministic gathering with crash faults"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "byzantine gathering in networks"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"

Connected through hyperedge HE-6 (induced by source paper "use of information memory and randomization in asynchronous gathering"):
  with members:
    - "a distributed algorithm for gathering many fat mobile robots in the plane"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-7 (induced by source paper "asynchronous approach in the plane a deterministic polynomial algorithm"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "byzantine gathering in networks"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "mobile agents rendezvous in spite of a malicious agent"
    - "rendezvous of distance aware mobile agents in unknown graphs"
    - "fast rendezvous with advice"
    - "how to meet asynchronously at polynomial cost"

Connected through hyperedge HE-8 (induced by source paper "byzantine gathering in networks"):
  with members:
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "rendezvous of distance aware mobile agents in unknown graphs"
    - "fast rendezvous with advice"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "the gathering problem for two oblivious robots with unreliable compasses"
    - "how to meet asynchronously almost everywhere"

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.DS(Data Structures and Algorithms)