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: "predicting demographics moral foundations and human values from digital behaviours"
  Abstract: Abstract   Personal electronic devices including smartphones give access to behavioural signals that can be used to learn about the characteristics and preferences of individuals. In this study, we explore the connection between demographic and psychological attributes and the digital behavioural records, for a cohort of 7633 people, closely representative of the US population with respect to gender, age, geographical distribution, education, and income. Along with the demographic data, we collected self-reported assessments on validated psychometric questionnaires for moral traits and basic human values, and combined this information with passively collected multi-modal digital data from web browsing behaviour and smartphone usage. A machine learning framework was then designed to infer both the demographic and psychological attributes from the behavioural data. In a cross-validated setting, our models predicted demographic attributes with good accuracy as measured by the weighted AUROC score (Area Under the Receiver Operating Characteristic), but were less performant for the moral traits and human values. These results call for further investigation, since they are still far from unveiling individuals' psychological fabric. This connection, along with the most predictive features that we provide for each attribute, might prove useful for designing personalised services, communication strategies, and interventions, and can be used to sketch a portrait of people with similar worldview.

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"
    - "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"
    - "facebook use of sensitive data for advertising in europe"

Connected through hyperedge HE-2 (induced by source paper "moralstrength exploiting a moral lexicon and embedding similarity for moral foundations prediction"):
  with members:
    - "human values and attitudes towards vaccination in social media"
    - "effect of values and technology use on exercise implications for personalized behavior change interventions"
    - "depechemood a bilingual emotion lexicon built through simple yet powerful techniques"
    - "automated hate speech detection and the problem of offensive language"
    - "quantifying moral foundations from various topics on twitter conversations"
    - "thumbs up or thumbs down semantic orientation applied to unsupervised classification of reviews"

Connected through hyperedge HE-3 (induced by source paper "human values and attitudes towards vaccination in social media"):
  with members:
    - "evaluation of biases in self reported demographic and psychometric information traditional versus facebook based surveys"
    - "graph embedding techniques applications and performance a survey"
    - "polarization of the vaccination debate on facebook"
    - "struc2vec learning node representations from structural identity"
    - "node2vec scalable feature learning for networks"
    - "latent space model for multi modal social data"
    - "line large scale information network embedding"
    - "deepwalk online learning of social representations"

Connected through hyperedge HE-4 (induced by source paper "evaluation of biases in self reported demographic and psychometric information traditional versus facebook based surveys"):
  with members:
    - "studying migrant assimilation through facebook interests"
    - "using facebook ads audiences for global lifestyle disease surveillance promises and limitations"
    - "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-5 (induced by source paper "effect of values and technology use on exercise implications for personalized behavior change interventions"):
  with members:
    - "encouraging physical activity in patients with diabetes intervention using a reinforcement learning system"

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)