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: "time versus cost tradeoffs for deterministic rendezvous in networks"
  Abstract: Two mobile agents, starting from different nodes of a network at possibly different times, have to meet at the same node. This problem is known as $\mathit{rendezvous}$. Agents move in synchronous rounds. Each agent has a distinct integer label from the set $\{1,\dots,L\}$. Two main efficiency measures of rendezvous are its $\mathit{time}$ (the number of rounds until the meeting) and its $\mathit{cost}$ (the total number of edge traversals). We investigate tradeoffs between these two measures. A natural benchmark for both time and cost of rendezvous in a network is the number of edge traversals needed for visiting all nodes of the network, called the exploration time. Hence we express the time and cost of rendezvous as functions of an upper bound $E$ on the time of exploration (where $E$ and a corresponding exploration procedure are known to both agents) and of the size $L$ of the label space. We present two natural rendezvous algorithms. Algorithm $\mathtt{Cheap}$ has cost $O(E)$ (and, in fact, a version of this algorithm for the model where the agents start simultaneously has cost exactly $E$) and time $O(EL)$. Algorithm $\mathtt{Fast}$ has both time and cost $O(E\log L)$. Our main contributions are lower bounds showing that, perhaps surprisingly, these two algorithms capture the tradeoffs between time and cost of rendezvous almost tightly. We show that any deterministic rendezvous algorithm of cost asymptotically $E$ (i.e., of cost $E+o(E)$) must have time $\Omega(EL)$. On the other hand, we show that any deterministic rendezvous algorithm with time complexity $O(E\log L)$ must have cost $\Omega (E\log L)$.

Connected through hyperedge HE-1 (induced by source paper "byzantine gathering in polynomial time"):
  with members:
    - "search on a line by byzantine robots"
    - "byzantine gathering in networks"
    - "how to meet asynchronously at polynomial cost"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-2 (induced by source paper "deterministic meeting of sniffing agents in the plane"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "fault tolerant rendezvous in networks"
    - "rendezvous of distance aware mobile agents in unknown graphs"
    - "rendezvous of two robots with constant memory"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"

Connected through hyperedge HE-3 (induced by source paper "deterministic rendezvous with detection using beeps"):
  with members:
    - "the computational power of beeps"
    - "rendezvous of two robots with constant memory"
    - "how to meet asynchronously at polynomial cost"
    - "beeping a maximal independent set"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "deploying wireless networks with beeps"

Connected through hyperedge HE-4 (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"
    - "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"
    - "delays induce an exponential memory gap for rendezvous in trees"

Connected through hyperedge HE-5 (induced by source paper "byzantine gathering in networks"):
  with members:
    - "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"
    - "anonymous meeting in networks"
    - "the gathering problem for two oblivious robots with unreliable compasses"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-6 (induced by source paper "tradeoffs between cost and information for rendezvous and treasure hunt"):
  with members:
    - "fast rendezvous with advice"
    - "revisiting the problem of searching on a line"
    - "how to meet asynchronously at polynomial cost"
    - "faster treasure hunt and better strongly universal exploration sequences"
    - "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.DC(Distributed, Parallel, and Cluster Computing)