human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "google matrix of business process management"):
  Abstract: Development of efficient business process models and determination of their characteristic properties are subject of intense interdisciplinary research. Here, we consider a business process model as a directed graph. Its nodes correspond to the units identified by the modeler and the link direction indicates the causal dependencies between units. It is of primary interest to obtain the stationary flow on such a directed graph, which corresponds to the steady-state of a firm during the business process. Following the ideas developed recently for the World Wide Web, we construct the Google matrix for our business process model and analyze its spectral properties. The importance of nodes is characterized by Page-Rank and recently proposed CheiRank and 2DRank, respectively. The results show that this two-dimensional ranking gives a significant information about the influence and communication properties of business model units. We argue that the Google matrix method, described here, provides a new efficient tool helping companies to make their decisions on how to evolve in the exceedingly dynamic global market.

Includes members:
  Member "fractal weyl law for linux kernel architecture":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "spectral properties of google matrix of wikipedia and other networks")
  Member "towards physical laws for software architecture":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "world influence and interactions of universities from wikipedia networks")
  Member "two dimensional ranking of wikipedia articles":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact")
  Member "google matrix and ulam networks of intermittency maps":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "google matrix of bitcoin network")
  Member "google matrix dynamical attractors and ulam networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "heat kernel based community detection")
  Member "spectral properties of the google matrix of the world wide web and other directed networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "two hop walks indicate pagerank order")
  Member "delocalization transition for the google matrix":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "two hop walks indicate pagerank order")

Question: Please tell me which class the source paper 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.CY(Computers and Society)