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: "delocalization transition for the google matrix"
  Abstract: We study the localization properties of eigenvectors of the Google matrix, generated both from the world wide web and from the Albert-Barabasi model of networks. We establish the emergence of a delocalization phase for the PageRank vector when network parameters are changed. For networks with localized PageRank, eigenvalues of the matrix in the complex plane with a modulus above a certain threshold correspond to localized eigenfunctions while eigenvalues below this threshold are associated with delocalized relaxation modes. We argue that, for networks with delocalized PageRank, the efficiency of information retrieval by Google-type search is strongly affected since the PageRank values have no clear hierarchical structure in this case.

Connected through hyperedge HE-1 (induced by source paper "two hop walks indicate pagerank order"):
  with members:
    - "black hole metric overcoming the pagerank normalization problem"
    - "pagerank standing on the shoulders of giants"
    - "spectral properties of the google matrix of the world wide web and other directed networks"

Connected through hyperedge HE-2 (induced by source paper "spectral properties of google matrix of wikipedia and other networks"):
  with members:
    - "google matrix of twitter"
    - "toward two dimensional search engines"
    - "fractal weyl law for linux kernel architecture"
    - "towards physical laws for software architecture"
    - "two dimensional ranking of wikipedia articles"
    - "spectral properties of the google matrix of the world wide web and other directed networks"

Connected through hyperedge HE-3 (induced by source paper "google matrix of business process management"):
  with members:
    - "fractal weyl law for linux kernel architecture"
    - "towards physical laws for software architecture"
    - "two dimensional ranking of wikipedia articles"
    - "google matrix and ulam networks of intermittency maps"
    - "google matrix dynamical attractors and ulam networks"
    - "spectral properties of the google matrix of the world wide web and other directed networks"

Connected through hyperedge HE-4 (induced by source paper "fractal weyl law for linux kernel architecture"):
  with members:
    - "towards physical laws for software architecture"
    - "google matrix and ulam networks of intermittency maps"
    - "google matrix dynamical attractors and ulam networks"
    - "spectral properties of the google matrix of the world wide web and other directed networks"

Connected through hyperedge HE-5 (induced by source paper "spectral properties of the google matrix of the world wide web and other directed networks"):
  with members:
    - "google matrix and ulam networks of intermittency maps"
    - "google matrix dynamical attractors and ulam networks"

Connected through hyperedge HE-6 (induced by source paper "google matrix and ulam networks of intermittency maps"):
  with members:
    - "google matrix dynamical attractors and ulam networks"

Connected through hyperedge HE-7 (induced by source paper "google matrix dynamical attractors and ulam networks"):
  with members:
    - "distribution of pagerank mass among principle components of the web"

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.IR(Information Retrieval)