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 "on fractional approach to analysis of linked networks"):
  Abstract: In this paper, we present the outer product decomposition of a product of compatible linked networks. It provides a foundation for the fractional approach in network analysis. We discuss the standard and Newman's normalization of networks. We propose some alternatives for fractional bibliographic coupling measures.

Includes members:
  Member "a categorization of arguments for counting methods for publication and citation indicators":
    also connected through other hyperedges:
      (none)
  Member "a conservation rule for constructing bibliometric network matrices":
    also connected through other hyperedges:
      (none)
  Member "constructing bibliometric networks a comparison between full and fractional counting":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "who pays comparing cost sharing models for a gold open access publication environment")
  Member "full and fractional counting in bibliometric networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "convexity in scientific collaboration networks")
  Member "network analysis of zentralblatt math data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "temporal bibliographic networks")
  Member "on bibliographic networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "temporal bibliographic networks")

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)