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 twitter"):
  Abstract: We construct the Google matrix of the entire Twitter network, dated by July 2009, and analyze its spectrum and eigenstate properties including the PageRank and CheiRank vectors and 2DRanking of all nodes. Our studies show much stronger inter-connectivity between top PageRank nodes for the Twitter network compared to the networks of Wikipedia and British Universities studied previously. Our analysis allows to locate the top Twitter users which control the information flow on the network. We argue that this small fraction of the whole number of users, which can be viewed as the social network elite, plays the dominant role in the process of opinion formation on the network.

Includes members:
  Member "pagerank of integers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "google matrix of bitcoin network")
  Member "toward two dimensional search engines":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact")
  Member "universal emergence of pagerank":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "google matrix of bitcoin network")
  Member "fractal weyl law for linux kernel architecture":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "spectral properties of google matrix of wikipedia and other networks")
  Member "four degrees of separation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "diffusion improves graph learning")
  Member "towards physical laws for software architecture":
    also connected through other hyperedges:
      - Hyperedge HE-6 (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-7 (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-8 (induced by source paper "google matrix of bitcoin network")

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.SI(Social and Information Networks)