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: "on the power of one bit how to explore a graph when you cannot backtrack"
  Abstract: We consider the problem of exploration of an anonymous, port-labelled, undirected graph with $n$ nodes, $m$ edges, by a single mobile agent. Initially the agent does not know the topology of the graph nor any of the global parameters. Moreover, the agent does not know the incoming port when entering to a vertex thus it cannot backtrack its moves. We study a $(M_a,M_w)$-agent model with two types of memory: $M_a$ bits of internal memory at the agent and $M_w$ bits of local memory at each node that is modifiable by the agent upon its visit to that node. In such a model, condition $M_a +M_w \geq \log_2 d$ has to be satisfied at each node of degree $d$ for the agent to be able to traverse each edge of the graph. As our main result we show an algorithm for $(1,\O(\log d))$-agent exploring any graph with return in optimal time $\O(m)$. We also show that exploration using $(0,\infty)$-agent sometimes requires $\Omega(n^3)$ steps. On the other hand, any algorithm for $(\infty,0)$-agent is a subject to known lower bounds for Universal Traversal Sequence thus requires $\Omega(n^4)$ steps in some graphs. We also observe that neither $(0,\infty)$-agent nor $(\infty,0)$-agent can stop after completing the task without the knowledge of some global parameter of the graph. This shows separation between the model with two types of memory and the models with only one in terms of exploration time and the stop property.

Connected through hyperedge HE-1 (induced by source paper "dispersion of mobile robots a study of memory time trade offs"):
  with members:
    - "efficient dispersion of mobile robots on graphs"
    - "deterministic dispersion of mobile robots in dynamic rings"
    - "a general lower bound for collaborative tree exploration"
    - "tight bounds for randomized load balancing on arbitrary network topologies"

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)