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 "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact"):
  Abstract: Nowadays, information describing navigation behaviour of internet users are used in several fields, e-commerce, economy, sociology and data science. Such information can be extracted from different knowledge bases, including business-oriented ones. In this paper, we propose a new model for the PageRank, CheiRank and 2DRank algorithm based on the use of clickstream and pageviews data in the google matrix construction. We used data from Wikipedia and analysed links between over 20 million articles from 11 language editions. We extracted over 1.4 billion source-destination pairs of articles from SQL dumps and more than 700 million pairs from XML dumps. Additionally, we unified the pairs based on the analysis of redirect pages and removed all duplicates. Moreover, we also created a bigger network of Wikipedia articles based on all considered language versions and obtained multilingual measures. Based on real data, we discussed the difference between standard PageRank, Cheirank, 2DRank and measures obtained based on our approach in separate languages and multilingual network of Wikipedia.

Includes members:
  Member "world influence and interactions of universities from wikipedia networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "what is the central bank of wikipedia")
  Member "hoprank how semantic structure influences teleportation in pagerank a case study on bioportal":
    also connected through other hyperedges:
      (none)
  Member "wikipedia traffic data and electoral prediction towards theoretically informed models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "big data would not lie prediction of the 2016 taiwan election via online heterogeneous information")
  Member "wikipedia ranking of world universities":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "world influence and interactions of universities from wikipedia networks")
  Member "interactions of cultures and top people of wikipedia from ranking of 24 language editions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "world influence and interactions of universities from wikipedia networks")
  Member "spectral properties of google matrix of wikipedia and other networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "google matrix of bitcoin network")
  Member "toward two dimensional search engines":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "wikipedia ranking of world universities")
  Member "two dimensional ranking of wikipedia articles":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "world influence and interactions of universities from wikipedia 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)