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 "comparison of decentralization in dpos and pow blockchains"):
  Abstract: Decentralization is a key indicator for the evaluation of public blockchains. While existing works have evaluated the degree of decentralization in Proof-of-Work (PoW) blockchains represented by Bitcoin and Ethereum, there have been few studies on measuring the actual level of decentralization between PoW blockchains and blockchains powered by other decentralized consensus protocols. This paper presents a comparison study of the level of decentralization in Bitcoin and Steem, a leading Delegated-Proof-of-Stake (DPoS) blockchain. In Bitcoin, miners with higher computational power generate more blocks. In contrast, blocks in Steem are equally generated by witnesses while witnesses are periodically elected by stakeholders. Our study analyzes the process of stake-weighted election of witnesses in the DPoS consensus protocol and measures the actual stake invested by each stakeholder in Steem. We then quantify and compare the actual degree of decentralization in these two blockchains by computing the Shannon entropy of the distribution of computational power among miners in Bitcoin and the distribution of invested stake among stakeholders in Steem. Our measurements indicate that, compared with Steem, Bitcoin tends to be more decentralized among top miners but less decentralized in general. Our study is designed to provide insights into the current state of the degree of decentralization in representative DPoS and PoW blockchains. We believe that the methodologies and findings in this paper can facilitate future studies of decentralization in other blockchain systems employing different consensus protocols.

Includes members:
  Member "impossibility of full decentralization in permissionless blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sok tools for game theoretic models of security for cryptocurrencies")
  Member "incentivized blockchain based social media platforms a case study of steemit":
    also connected through other hyperedges:
      (none)
  Member "decentralization in bitcoin and ethereum networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stability and scalability of blockchain systems")
  Member "popularity and quality in social news aggregators a study of reddit and hacker news":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "characterizing behavioral trends in a community driven discussion platform")
  Member "the miner s dilemma":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "surface a practical blockchain consensus algorithm for real world networks")
  Member "majority is not enough bitcoin mining is vulnerable":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the convergence of artificial intelligence and distributed ledger technology a scoping review and future research agenda")

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.CR(Cryptography and Security)