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 musical diversity via online social media"
  Abstract: Musicologists and sociologists have long been interested in patterns of music consumption and their relation to socioeconomic status. In particular, the Omnivore Thesis examines the relationship between these variables and the diversity of music a person consumes. Using data from social media users of Last.fm and Twitter, we design and evaluate a measure that reasonably captures diversity of musical tastes. We use that measure to explore associations between musical diversity and variables that capture socioeconomic status, demographics, and personal traits such as openness and degree of interest in music (into-ness). Our musical diversity measure can provide a useful means for studies of musical preferences and consumption. Also, our study of the Omnivore Thesis provides insights that extend previous survey and interview-based studies.

Connected through hyperedge HE-1 (induced by source paper "rock rap or reggaeton assessing mexican immigrants cultural assimilation using facebook data"):
  with members:
    - "mater certa est pater numquam what can facebook advertising data tell us about male fertility rates"
    - "studying migrant assimilation through facebook interests"
    - "using facebook ads audiences for global lifestyle disease surveillance promises and limitations"

Connected through hyperedge HE-2 (induced by source paper "cultural values and cross cultural video consumption on youtube"):
  with members:
    - "a data driven study of view duration on youtube"
    - "how do global audiences take shape the role of institutions and culture in patterns of web use"

Connected through hyperedge HE-3 (induced by source paper "homophily of music listening in online social networks"):
  with members:
    - "systems applications of social networks"
    - "happiness is assortative in online social networks"

Connected through hyperedge HE-4 (induced by source paper "mixtape application last fm data characterization"):
  with members:
    - "learning content similarity for music recommendation"

Connected through hyperedge HE-5 (induced by source paper "how many political parties should brazil have a data driven method to assess and reduce fragmentation in multi party political systems"):
  with members:
    - "you are what you eat and drink identifying cultural boundaries by analyzing food drink habits in foursquare"
    - "approximation algorithms for secondary spectrum auctions"

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)