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: "an automated approach to auditing disclosure of third party data collection in website privacy policies"
  Abstract: A dominant regulatory model for web privacy is “”notice and choice””.  In this model, users are notified of data collection and provided with options to control it.  To examine the efficacy of this approach, this study presents the first large-scale audit of disclosure of third-party data collection in website privacy policies.  Data flows on one million websites are analyzed and over 200,000 website’s privacy policies are audited to determine if users are notified of the names of the companies which collect their data.  Policies from 25 prominent third-party data collectors are also examined to provide deeper insights into the totality of the policy environment.  Policies are additionally audited to determine if the choice expressed by the “”Do Not Track”” browser setting is respected. It is found that third-party data collection is wide-spread, but only 15% of attributed data flows are disclosed.  The third-parties most likely to be disclosed are those with consumer services users may be aware of, those without consumer services are less likely to be mentioned.  Policies are difficult to understand and the average time requirement to read both a given site’s policy and the associated third-party policies exceeds 85 minutes.  Only 7% of first-party site policies mention the “”Do Not Track”” signal, and the majority of such mentions are to specify that the signal is ignored.  Among third-party policies examined, none offer unqualified support for the “”Do Not Track”” signal.  Findings indicate that current implementations of “”Notice and Choice”” fail to provide notice or respect choice.

Connected through hyperedge HE-1 (induced by source paper "characterising third party cookie usage in the eu after gdpr"):
  with members:
    - "the unwanted sharing economy an analysis of cookie syncing and user transparency under gdpr"
    - "we value your privacy now take some cookies measuring the gdpr s impact on web privacy"

Connected through hyperedge HE-2 (induced by source paper "tranco a research oriented top sites ranking hardened against manipulation"):
  with members:
    - "structure and stability of internet top lists"
    - "herding vulnerable cats a statistical approach to disentangle joint responsibility for web security in shared hosting"
    - "on the ubiquity of web tracking insights from a billion page web crawl"
    - "the effect of dns on tor s anonymity"
    - "stress testing the booters understanding and undermining the business of ddos services"
    - "exposing the hidden web an analysis of third party http requests on 1 million websites"

Connected through hyperedge HE-3 (induced by source paper "we value your privacy now take some cookies measuring the gdpr s impact on web privacy"):
  with members:
    - "tranco a research oriented top sites ranking hardened against manipulation"
    - "a long way to the top significance structure and stability of internet top lists"
    - "polisis automated analysis and presentation of privacy policies using deep learning"
    - "polyglot distributed word representations for multilingual nlp"

Connected through hyperedge HE-4 (induced by source paper "the unwanted sharing economy an analysis of cookie syncing and user transparency under gdpr"):
  with members:
    - "cookie synchronization everything you always wanted to know but were afraid to ask"
    - "tracking protection in firefox for privacy and performance"

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)