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 "wikipedia ranking of world universities"):
  Abstract: We use the directed networks between articles of 24 Wikipedia language editions for producing the wikipedia ranking of world Universities (WRWU) using PageRank, 2DRank and CheiRank algorithms. This approach allows to incorporate various cultural views on world universities using the mathematical statistical analysis independent of cultural preferences. The Wikipedia ranking of top 100 universities provides about 60% overlap with the Shanghai university ranking demonstrating the reliable features of this approach. At the same time WRWU incorporates all knowledge accumulated at 24 Wikipedia editions giving stronger highlights for historically important universities leading to a different estimation of efficiency of world countries in university education. The historical development of university ranking is analyzed during ten centuries of their history.

Includes members:
  Member "interactions of cultures and top people of wikipedia from ranking of 24 language editions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact")
  Member "on the internal dynamics of the shanghai ranking":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "world influence and interactions of universities from wikipedia networks")
  Member "highlighting entanglement of cultures via ranking of multilingual wikipedia articles":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "capturing the influence of geopolitical ties from wikipedia with reduced google matrix")
  Member "toward two dimensional search engines":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact")
  Member "towards physical laws for software architecture":
    also connected through other hyperedges:
      - Hyperedge HE-5 (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-6 (induced by source paper "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact")

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)