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: "a simple o log log mathrm rank competitive algorithm for the matroid secretary problem"
  Abstract: Only recently progress has been made in obtaining $o(\log(\mathrm{rank}))$-competitive algorithms for the matroid secretary problem. More precisely, Chakraborty and Lachish (2012) presented a $O(\sqrt{\log(\mathrm{rank})})$-competitive procedure, and Lachish (2014) later presented a $O(\log\log(\mathrm{rank}))$-competitive algorithm. Both these algorithms and their analyses are very involved, which is also reflected in the extremely high constants in their competitive ratios. #R##N#Using different tools, we present a considerably simpler $O(\log\log(\mathrm{rank}))$-competitive algorithm for the matroid secretary problem. Our algorithm can be interpreted as a distribution over a simple type of matroid secretary algorithms which are easy to analyze. Due to the simplicity of our procedure, we are also able to vastly improve on the hidden constant in the competitive ratio.

Connected through hyperedge HE-1 (induced by source paper "submodular matroid secretary problem with shortlists"):
  with members:
    - "quasi polynomial algorithms for submodular tree orienteering and other directed network design problems"
    - "submodular streaming in all its glory tight approximation minimum memory and low adaptive complexity"
    - "submodular secretary problem with shortlists"
    - "do less get more streaming submodular maximization with subsampling"
    - "beyond 1 2 approximation for submodular maximization on massive data streams"
    - "a logarithmic integrality gap bound for directed steiner tree in quasi bipartite graphs"
    - "submodular secretary problems cardinality matching and linear constraints"
    - "streaming algorithms for submodular function maximization"

Connected through hyperedge HE-2 (induced by source paper "robust algorithms for the secretary problem"):
  with members:
    - "near optimal online algorithms and fast approximation algorithms for resource allocation problems"
    - "stochastic bandits robust to adversarial corruptions"
    - "learning geometric concepts with nasty noise"
    - "learning from untrusted data"
    - "agnostic estimation of mean and covariance"
    - "robust estimators in high dimensions without the computational intractability"
    - "combinatorial prophet inequalities"
    - "beyond matroids secretary problem and prophet inequality with general constraints"

Connected through hyperedge HE-3 (induced by source paper "the outer limits of contention resolution on matroids and connections to the secretary problem"):
  with members:
    - "the prophet inequality can be solved optimally with a single set of samples"
    - "random order contention resolution schemes"
    - "optimal online contention resolution schemes via ex ante prophet inequalities"
    - "prophet secretary surpassing the 1 1 e barrier"
    - "prophet secretary for combinatorial auctions and matroids"
    - "beyond matroids secretary problem and prophet inequality with general constraints"
    - "online contention resolution schemes"
    - "o log log rank competitive ratio for the matroid secretary problem"

Connected through hyperedge HE-4 (induced by source paper "on optimal ordering in the optimal stopping problem"):
  with members:
    - "prophet secretary through blind strategies"
    - "prophet secretary surpassing the 1 1 e barrier"
    - "prophet secretary for combinatorial auctions and matroids"
    - "prophet inequalities made easy stochastic optimization by pricing non stochastic inputs"
    - "combinatorial prophet inequalities"
    - "beyond matroids secretary problem and prophet inequality with general constraints"
    - "matroid prophet inequalities"
    - "bayesian combinatorial auctions expanding single buyer mechanisms to many buyers"

Connected through hyperedge HE-5 (induced by source paper "prophets secretaries and maximizing the probability of choosing the best"):
  with members:
    - "stochastic k server how should uber work"
    - "prophet secretary for combinatorial auctions and matroids"
    - "online matroid intersection beating half for random arrival"
    - "o log log rank competitive ratio for the matroid secretary problem"
    - "online independent set beyond the worst case secretaries prophets and periods"
    - "bayesian combinatorial auctions expanding single buyer mechanisms to many buyers"
    - "mechanism design via correlation gap"
    - "algorithms for secretary problems on graphs and hypergraphs"

Connected through hyperedge HE-6 (induced by source paper "online pandora s boxes and bandits"):
  with members:
    - "descending price optimally coordinates search"
    - "prophet inequalities made easy stochastic optimization by pricing non stochastic inputs"
    - "o log log rank competitive ratio for the matroid secretary problem"
    - "matroid prophet inequalities"
    - "bayesian combinatorial auctions expanding single buyer mechanisms to many buyers"

Connected through hyperedge HE-7 (induced by source paper "strong algorithms for the ordinal matroid secretary problem"):
  with members:
    - "combinatorial secretary problems with ordinal information"
    - "combinatorial prophet inequalities"
    - "beyond matroids secretary problem and prophet inequality with general constraints"
    - "secretary problems with non uniform arrival order"
    - "the submodular secretary problem goes linear"
    - "o log log rank competitive ratio for the matroid secretary problem"
    - "prophet inequalities with limited information"
    - "polymatroid prophet inequalities"

Connected through hyperedge HE-8 (induced by source paper "the multi round sequential selection problem"):
  with members:
    - "strong algorithms for the ordinal matroid secretary problem"
    - "learning in the repeated secretary problem"
    - "a framework for the secretary problem on the intersection of matroids"
    - "building a good team secretary problems and the supermodular degree"

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)