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: "on the importance of system view centric validation for the design and operation of a crypto based digital economy"
  Abstract: Ubiquitous connectivity, networked computation, open technologies and advances in intelligent web approaches enable the third-generation web, Web3.0. Not least due to advancements in crypto technologies adoption in real world applications, it is now possible to convert the internet of things (IoT) into an economy of things (EoT), which basically refers to a heterogeneous digital economy of everything (dEoE). Based on the realization of the deficiencies of Web2.0 and the loss of confidence in a central intermediaries based economy, a societal desire to overcome these deficiencies has emerged. In the beginning, the crypto movement has been enthusiastic about the ability to encode all necessities for a digital economy in algorithms and code. However, in the mean time, insight has gained ground that on the one hand, designing the EoT is a quite complex endeavor and the resulting system might fail to achieve the targeted ideals, even when no intermediaries are present. We emphasize this position by arguing that the EoT in fact corresponds to a complex system operated in open contexts, for which a sophisticated design approach and a set of measures are inevitable, in order to be able to achieve a valid design and operation. In addition, we argue that the high level guiding principles necessary for a valid and effective EoT align well with the ideals of the democratized Web3.0 movement, and are no naive rapture, but rather - adequate adoption provided - can lead to socioeconomic efficiency. Over and above, we postulate that in this kind of EoT, commercial companies not only play a role, but can benefit alongside the society. In more game theoretical jargon, one could state that it is rational for the society and enterprises to undertake the effort to establish a valid EoT based on these ideals.

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)