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: "ongoing events in wikipedia a cross lingual case study"
  Abstract: In order to effectively analyze information regarding ongoing events that impact local communities across language and country borders, researchers often need to perform multilingual data analysis. This analysis can be particularly challenging due to the rapidly evolving event-centric data and the language barrier. In this abstract we present preliminary results of a case study with the goal to better understand how researchers interact with multilingual event-centric information in the context of cross-cultural studies and which methods and features they use.

Connected through hyperedge HE-1 (induced by source paper "eventkg the hub of event knowledge on the web and biographical timeline generation"):
  with members:
    - "towards better understanding researcher strategies in cross lingual event analytics"
    - "eventkg tl creating cross lingual timelines from an event centric knowledge graph"
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "learning to generate one sentence biographies from wikidata"
    - "neural text generation from structured data with application to the biography domain"
    - "history by diversity helping historians search news archives"
    - "timemachine timeline generation for knowledge base entities"

Connected through hyperedge HE-2 (induced by source paper "eventkg a multilingual event centric temporal knowledge graph"):
  with members:
    - "inferring missing categorical information in noisy and sparse web markup"
    - "eventkg tl creating cross lingual timelines from an event centric knowledge graph"
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"
    - "timemachine timeline generation for knowledge base entities"

Connected through hyperedge HE-3 (induced by source paper "eventkg tl creating cross lingual timelines from an event centric knowledge graph"):
  with members:
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"
    - "timemachine timeline generation for knowledge base entities"

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.CY(Computers and Society)