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: "dimension in complexity classes"
  Abstract: A theory of resource-bounded dimension is developed using gales, which are natural generalizations of martingales. When the resource bound \Delta (a parameter of the theory) is unrestricted, the resulting dimension is precisely the classical Hausdorff dimension (sometimes called fractal dimension). Other choices of the parameter \Delta yield internal dimension theories in E, E2, ESPACE, and other complexity classes, and in the class of all decidable problems. In general, if C is such a class, then every set X of languages has a dimension in C, which is a real number dim(X|C) in [0,1]. Along with the elements of this theory, two preliminary applications are presented: #R##N#1. For every real number \alpha in (0,1/2), the set FREQ(<=\alpha), consisting of all languages that asymptotically contain at most \alpha of all strings, has dimension H(\alpha) -- the binary entropy of \alpha -- in E and in E2. #R##N#2. For every real number \alpha in (0,1), the set SIZE(\alpha* (2^n)/n), consisting of all languages decidable by Boolean circuits of at most \alpha*(2^n)/n gates, has dimension \alpha in ESPACE.

Connected through hyperedge HE-1 (induced by source paper "asymptotic divergences and strong dichotomy"):
  with members:
    - "automatic kolmogorov complexity and normality revisited"
    - "computing absolutely normal numbers in nearly linear time"
    - "a divergence formula for randomness and dimension"
    - "dimensions of copeland erdos sequences"
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-2 (induced by source paper "on the incomputability of computable dimension"):
  with members:
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-3 (induced by source paper "nondeterminisic sublinear time has measure 0 in p"):
  with members:
    - "analysis of boolean functions"

Connected through hyperedge HE-4 (induced by source paper "automatic kolmogorov complexity normality and finite state dimension revisited"):
  with members:
    - "automatic kolmogorov complexity and normality revisited"
    - "finite state independence"
    - "around kolmogorov complexity basic notions and results"
    - "nondeterministic automatic complexity of overlap free and almost square free words"
    - "finite state dimension and real arithmetic"

Connected through hyperedge HE-5 (induced by source paper "lempel ziv a one bit catastrophe but not a tragedy"):
  with members:
    - "computing absolutely normal numbers in nearly linear time"
    - "on the size of lempel ziv and lyndon factorizations"
    - "polylog space compression pushdown compression and lempel ziv are incomparable"

Connected through hyperedge HE-6 (induced by source paper "projection theorems using effective dimension"):
  with members:
    - "algorithmic information plane kakeya sets and conditional dimension"

Connected through hyperedge HE-7 (induced by source paper "bounding the dimension of points on a line"):
  with members:
    - "algorithmic information plane kakeya sets and conditional dimension"
    - "lines missing every random point"
    - "effective dimension in some general metric spaces"
    - "the dimensions of individual strings and sequences"

Connected through hyperedge HE-8 (induced by source paper "mutual dimension and random sequences"):
  with members:
    - "analysis of boolean functions"
    - "a divergence formula for randomness and dimension"
    - "the dimensions of individual strings and sequences"

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.CC(Computational Complexity)