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: "content and popularity analysis of tor hidden services"
  Abstract: Tor hidden services allow running Internet services while protecting the location of the servers. Their main purpose is to enable freedom of speech even in situations in which powerful adversaries try to suppress it. However, providing location privacy and client anonymity also makes Tor hidden services an attractive platform for every kind of imaginable shady service. The ease with which Tor hidden services can be set up has spurred a huge growth of anonymously provided Internet services of both types. In this paper we analyse the landscape of Tor hidden services. We have studied Tor hidden services after collecting 39824 hidden service descriptors on 4th of Feb 2013 by exploiting protocol and implementation flaws in Tor: we scanned them for open ports; in the case of HTTP services, we analysed and classified their content. We also estimated the popularity of hidden services by looking at the request rate for hidden service descriptors by clients. We found that while the content of Tor hidden services is rather varied, the most popular hidden services are related to botnets.

Connected through hyperedge HE-1 (induced by source paper "content based features to rank influential hidden services of the tor darknet"):
  with members:
    - "rosf leveraging information retrieval and supervised learning for recommending code snippets"
    - "the language of legal and illegal activity on the darknet"
    - "starspace embed all the things"
    - "a multi task approach for named entity recognition in social media data"
    - "inception v4 inception resnet and the impact of residual connections on learning"
    - "empirical evaluation of rectified activations in convolutional network"
    - "a model of internet topology using k shell decomposition"

Connected through hyperedge HE-2 (induced by source paper "the language of legal and illegal activity on the darknet"):
  with members:
    - "structure and content of the visible darknet"
    - "allennlp a deep semantic natural language processing platform"
    - "deep contextualized word representations"
    - "iterative recursive attention model for interpretable sequence classification"
    - "learned in translation contextualized word vectors"

Connected through hyperedge HE-3 (induced by source paper "blocktag design and applications of a tagging system for blockchain analysis"):
  with members:
    - "data mining for detecting bitcoin ponzi schemes"
    - "blocksci design and applications of a blockchain analysis platform"
    - "the rise of social bots"
    - "bitcoin transaction graph analysis"
    - "a survey on truth discovery"
    - "deanonymisation of clients in bitcoin p2p network"
    - "bitcoin over tor isn t a good idea"

Connected through hyperedge HE-4 (induced by source paper "deanonymizing tor hidden service users through bitcoin transactions analysis"):
  with members:
    - "the unreasonable effectiveness of address clustering"
    - "bitcoin transaction graph analysis"
    - "anonymous online purchases with exhaustive operational security"
    - "bitcoin over tor isn t a good idea"
    - "traveling the silk road a measurement analysis of a large anonymous online marketplace"

Connected through hyperedge HE-5 (induced by source paper "when a small leak sinks a great ship deanonymizing tor hidden service users through bitcoin transactions analysis"):
  with members:
    - "the unreasonable effectiveness of address clustering"
    - "bitcoin transaction graph analysis"
    - "anonymous online purchases with exhaustive operational security"
    - "bitcoin over tor isn t a good idea"
    - "traveling the silk road a measurement analysis of a large anonymous online marketplace"

Connected through hyperedge HE-6 (induced by source paper "an empirical study of the i2p anonymity network and its censorship resistance"):
  with members:
    - "censors delay in blocking circumvention proxies"
    - "torbricks blocking resistant tor bridge distribution"
    - "raptor routing attacks on privacy in tor"

Connected through hyperedge HE-7 (induced by source paper "honey onions a framework for characterizing and identifying misbehaving tor hsdirs"):
  with members:
    - "identifying and characterizing sybils in the tor network"
    - "raptor routing attacks on privacy in tor"
    - "onionbots subverting privacy infrastructure for cyber attacks"
    - "traveling the silk road a measurement analysis of a large anonymous online marketplace"

Connected through hyperedge HE-8 (induced by source paper "onionbots subverting privacy infrastructure for cyber attacks"):
  with members:
    - "traveling the silk road a measurement analysis of a large anonymous online marketplace"

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.CR(Cryptography and Security)