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: "average case worst case tradeoffs for evacuating 2 robots from the disk in the face to face model"
  Abstract: The problem of evacuating two robots from the disk in the face-to-face model was first introduced in [Czyzowicz et al., DISC'14], and extensively studied (along with many variations) ever since with respect to worst case analysis. We initiate the study of the same problem with respect to average case analysis, which is also equivalent to designing randomized algorithms for the problem. First we observe that algorithm $B_{2}$ of~[Czyzowicz et al., DISC'14] with worst case cost $WRS(B_{2}):=5.73906$ has average case cost $AVG(B_{2}):=5.1172$. Then we verify that none of the algorithms that induced worst case cost improvements in subsequent publications has better average case cost, hence concluding that our problem requires the invention of new algorithms. Then, we observe that a remarkable simple algorithm, $B_{1}$, has very small average case cost $AVG(B_{1}):=1+\pi$, but very high worst case cost $WRS(B_{1}):=1+2\pi$. #R##N#Motivated by the above, we introduce constrained optimization problem $_2Evac_{F2F}^w$, in which one is trying to minimize the average case cost of the evacuation algorithm given that the worst case cost does not exceed $w$. The problem is of special interest with respect to practical applications, since a common objective in search-and-rescue operations is to minimize the average completion time, given that a certain worst case threshold is not exceeded, e.g. for safety or limited energy reasons. Our main contribution is the design and analysis of families of new evacuation parameterized algorithms $A(p)$ which can solve $_2Evac_{F2F}^w$, for every $w \in [WRS(B_{1}),WRS(B_{2})]$.

Connected through hyperedge HE-1 (induced by source paper "probabilistically faulty searching on a half line"):
  with members:
    - "energy consumption of group search on a line"
    - "linear search with terrain dependent speeds"
    - "fast two robot disk evacuation with wireless communication"
    - "search and fetch with 2 robots on a disk wireless and face to face communication models"
    - "further connections between contract scheduling and ray searching problems"
    - "collaborative search on the plane without communication"
    - "online searching with turn cost"

Connected through hyperedge HE-2 (induced by source paper "energy consumption of group search on a line"):
  with members:
    - "god save the queen"
    - "priority evacuation from a disk using mobile robots"
    - "linear search with terrain dependent speeds"
    - "search on a line by byzantine robots"
    - "fast two robot disk evacuation with wireless communication"
    - "search and fetch with 2 robots on a disk wireless and face to face communication models"
    - "evacuating robots from a disk using face to face communication"
    - "online searching with turn cost"

Connected through hyperedge HE-3 (induced by source paper "time energy tradeoffs for evacuation by two robots in the wireless model"):
  with members:
    - "god save the queen"
    - "priority evacuation from a disk using mobile robots"
    - "linear search with terrain dependent speeds"
    - "search on a line by byzantine robots"
    - "search and fetch with 2 robots on a disk wireless and face to face communication models"
    - "evacuating robots from a disk using face to face communication"
    - "online searching with turn cost"

Connected through hyperedge HE-4 (induced by source paper "chauffeuring a crashed robot from a disk"):
  with members:
    - "evacuating two robots from a disk a second cut"
    - "god save the queen"
    - "priority evacuation from a disk using mobile robots"
    - "lower bounds for searching robots some faulty"
    - "search on a line by byzantine robots"

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.DM(Discrete Mathematics)