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: "using facebook ads audiences for global lifestyle disease surveillance promises and limitations"
  Abstract: Every day, millions of users reveal their interests on Facebook, which are then monetized via targeted advertisement marketing campaigns. In this paper, we explore the use of demographically rich Facebook Ads audience estimates for tracking non-communicable diseases around the world. Across 47 countries, we compute the audiences of marker interests, and evaluate their potential in tracking health conditions associated with tobacco use, obesity, and diabetes, compared to the performance of placebo interests. Despite its huge potential, we find that, for modeling prevalence of health conditions across countries, differences in these interest audiences are only weakly indicative of the corresponding prevalence rates. Within the countries, however, our approach provides interesting insights on trends of health awareness across demographic groups. Finally, we provide a temporal error analysis to expose the potential pitfalls of using Facebook's Marketing API as a black box.

Connected through hyperedge HE-1 (induced by source paper "facebook ads as a demographic tool to measure the urban rural divide"):
  with members:
    - "human values and attitudes towards vaccination in social media"
    - "analyzing gender inequality through large scale facebook advertising data"
    - "predicting demographics moral foundations and human values from digital behaviours"
    - "parents mention sons more often than daughters on social media"
    - "effect of values and technology use on exercise implications for personalized behavior change interventions"
    - "demographic differentials in facebook usage around the world"
    - "a total error framework for digital traces of humans"
    - "mater certa est pater numquam what can facebook advertising data tell us about male fertility rates"

Connected through hyperedge HE-2 (induced by source paper "analyzing gender inequality through large scale facebook advertising data"):
  with members:
    - "professional gender gaps across us cities"
    - "facebook use of sensitive data for advertising in europe"
    - "studying migrant assimilation through facebook interests"
    - "fertility and its meaning evidence from search behavior"
    - "women through the glass ceiling gender asymmetries in wikipedia"
    - "evolution of privacy loss in wikipedia"
    - "gender asymmetries in reality and fiction the bechdel test of social media"

Connected through hyperedge HE-3 (induced by source paper "evaluation of biases in self reported demographic and psychometric information traditional versus facebook based surveys"):
  with members:
    - "predicting demographics moral foundations and human values from digital behaviours"
    - "studying migrant assimilation through facebook interests"
    - "geo located twitter as proxy for global mobility patterns"
    - "processing social media messages in mass emergency a survey"
    - "big questions for social media big data representativeness validity and other methodological pitfalls"

Connected through hyperedge HE-4 (induced by source paper "on microtargeting socially divisive ads a case study of russia linked ad campaigns on facebook"):
  with members:
    - "inside the right leaning echo chambers characterizing gab an unmoderated social system"
    - "political discourse on social media echo chambers gatekeepers and the price of bipartisanship"
    - "facebook s gender divide"
    - "characterizing the life cycle of online news stories using social media reactions"

Connected through hyperedge HE-5 (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"
    - "understanding musical diversity via online social media"

Connected through hyperedge HE-6 (induced by source paper "online surveys and digital demography in the developing world facebook users in kenya"):
  with members:
    - "quizz targeted crowdsourcing with a billion potential users"

Connected through hyperedge HE-7 (induced by source paper "fake cures user centric modeling of health misinformation in social media"):
  with members:
    - "the spread of low credibility content by social bots"
    - "the spread of fake news by social bots"
    - "halal culture on instagram"
    - "catching zika fever application of crowdsourcing and machine learning for tracking health misinformation on twitter"
    - "fake news detection on social media a data mining perspective"
    - "fetishizing food in digital age foodporn around the world"
    - "a cross platform collection of social network profiles"
    - "hoaxy a platform for tracking online misinformation"

Connected through hyperedge HE-8 (induced by source paper "mater certa est pater numquam what can facebook advertising data tell us about male fertility rates"):
  with members:
    - "fertility and its meaning evidence from search behavior"
    - "data mining of online genealogy datasets for revealing lifespan patterns in human population"

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)