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 "wikilinkgraphs a complete longitudinal and multi language dataset of the wikipedia link networks"):
  Abstract: Wikipedia articles contain multiple links connecting a subject to other pages of the encyclopedia. In Wikipedia parlance, these links are called internal links or wikilinks. We present a complete dataset of the network of internal Wikipedia links for the $9$ largest language editions. The dataset contains yearly snapshots of the network and spans $17$ years, from the creation of Wikipedia in 2001 to March 1st, 2018. While previous work has mostly focused on the complete hyperlink graph which includes also links automatically generated by templates, we parsed each revision of each article to track links appearing in the main text. In this way we obtained a cleaner network, discarding more than half of the links and representing all and only the links intentionally added by editors. We describe in detail how the Wikipedia dumps have been processed and the challenges we have encountered, including the need to handle special pages such as redirects, i.e., alternative article titles. We present descriptive statistics of several snapshots of this network. Finally, we propose several research opportunities that can be explored using this new dataset.

Includes members:
  Member "benchmarking distributed stream processing engines":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "performance characterization and modeling of serverless and hpc streaming applications")
  Member "growing wikipedia across languages via recommendation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantifying engagement with citations on wikipedia")
  Member "mining missing hyperlinks from human navigation traces a case study of wikipedia":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "quantifying engagement with citations on wikipedia")
  Member "societal controversies in wikipedia articles":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "viewpoint discovery and understanding in social networks")
  Member "interactions of cultures and top people of wikipedia from ranking of 24 language editions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact")
  Member "biographical social networks on wikipedia a cross cultural study of links that made history":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "world literature according to wikipedia introduction to a dbpedia based framework")
  Member "ranking of wikipedia articles in search engines revisited fair ranking for reasonable quality":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "recognizing descriptive wikipedia categories for historical figures")
  Member "pagerank standing on the shoulders of giants":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "trust evaluation mechanism for user recruitment in mobile crowd sensing in the internet of things")

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)