human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "understanding editing behaviors in multilingual wikipedia"
  Abstract: Multilingualism is common offline, but we have a more limited understanding of the ways multilingualism is displayed online and the roles that multilinguals play in the spread of content between speakers of different languages. We take a computational approach to studying multilingualism using one of the largest user-generated content platforms, Wikipedia. We study multilingualism by collecting and analyzing a large dataset of the content written by multilingual editors of the English, German, and Spanish editions of Wikipedia. This dataset contains over two million paragraphs edited by over 15,000 multilingual users from July 8 to August 9, 2013. We analyze these multilingual editors in terms of their engagement, interests, and language proficiency in their primary and non-primary (secondary) languages and find that the English edition of Wikipedia displays different dynamics from the Spanish and German editions. Users primarily editing the Spanish and German editions make more complex edits than users who edit these editions as a second language. In contrast, users editing the English edition as a second language make edits that are just as complex as the edits by users who primarily edit the English edition. In this way, English serves a special role bringing together content written by multilinguals from many language editions. Nonetheless, language remains a formidable hurdle to the spread of content: we find evidence for a complexity barrier whereby editors are less likely to edit complex content in a second language. In addition, we find that multilinguals are less engaged and show lower levels of language proficiency in their second languages. We also examine the topical interests of multilingual editors and find that there is no significant difference between primary and non-primary editors in each language.

Connected through hyperedge HE-1 (induced by source paper "wikipedia cultural diversity dataset a complete cartography for 300 language editions"):
  with members:
    - "why the world reads wikipedia beyond english speakers"
    - "multilinguals and wikipedia editing"
    - "notes on noise contrastive estimation and negative sampling"
    - "the tower of babel meets web 2 0 user generated content and its applications in a multilingual context"
    - "wikipedia based semantic interpretation for natural language processing"

Connected through hyperedge HE-2 (induced by source paper "towards better understanding researcher strategies in cross lingual event analytics"):
  with members:
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "archiveweb collaboratively extending and exploring web archive collections how would you like to work with your collections"
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "extracting event centric document collections from large scale web archives"
    - "analysing temporal evolution of interlingual wikipedia article pairs"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"

Connected through hyperedge HE-3 (induced by source paper "robust clustering of languages across wikipedia growth"):
  with members:
    - "the evolution of wikipedia s norm network"
    - "trend of narratives in the age of misinformation"
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"
    - "a practical approach to language complexity a wikipedia case study"

Question: Please tell me which class the center node 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)