human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "automated discovery of internet censorship by web crawling"):
  Abstract: Censorship of the Internet is widespread around the world. As access to the web becomes increasingly ubiquitous, filtering of this resource becomes more pervasive. Transparency about specific content and information that citizens are denied access to is atypical. To counter this, numerous techniques for maintaining URL filter lists have been proposed by various individuals, organisations and researchers. These aim to improve empirical data on censorship for benefit of the public and wider censorship research community, while also increasing the transparency of filtering activity by oppressive regimes. We present a new approach for discovering filtered domains in different target countries. This method is fully automated and requires no human interaction. The system uses web crawling techniques to traverse between filtered sites and implements a robust method for determining if a domain is filtered. We demonstrate the effectiveness of the approach by running experiments to search for filtered content in four different censorship regimes. Our results show that we perform better than the current state of the art and have built domain filter lists an order of magnitude larger than the most widely available public lists as of April 2018. Further, we build a dataset mapping the interlinking nature of blocked content between domains and exhibit the tightly networked nature of censored web resources.

Includes members:
  Member "filteredweb a framework for the automated search based discovery of blocked urls":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "iclab a global longitudinal internet censorship measurement platform")
  Member "filterprints identifying localised usage anomalies in censorship circumvention tools":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "filteredweb a framework for the automated search based discovery of blocked urls")
  Member "the anatomy of web censorship in pakistan":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "iclab a global longitudinal internet censorship measurement platform")
  Member "dimming the internet detecting throttling as a mechanism of censorship in iran":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "infnote a decentralized information sharing platform based on blockchain")

Question: Please tell me which class the source paper 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)