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: "knowledge generating efficiency in innovation systems the relation between structural and temporal effects"
  Abstract: Time series of US patents per million inhabitants show long waves that partially coincide with Kondratieff cycles. This wave structure can be attributed to different knowledge-generating paradigms that drive innovation systems thereof. The changes in the slopes between the waves indicate different efficiencies in the knowledge generation. Since knowledge-generating systems are associated with innovation systems, the efficiency can be modelled in terms of interactions among dimensions (for example, in terms of university-industry-government relations). The model predicts an efficiency increase with an increasing number of dimensions due to the effects of self-organisation among them. The time spans of the knowledge-generating cycles can also be analysed in terms of Fibonacci numbers and successive cycles are expected to exhibit shorter life cycles than previous ones. This perspective enables us to forecast expected dates of future paradigm changes.

Connected through hyperedge HE-1 (induced by source paper "can synergy in triple helix relations be quantified a review of the development of the triple helix indicator"):
  with members:
    - "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "measuring triple helix synergy in the russian innovation systems at regional provincial and national levels"
    - "challenges for regional innovation policies in cee countries spatial concentration and foreign control of us patenting"
    - "measuring the knowledge based economy of china in terms of synergy among technological organizational and geographic attributes of firms"
    - "redundancy generation in university industry government relations the triple helix modeled measured and simulated"
    - "the triple helix of university industry government relations at the country level and its dynamic evolution under the pressures of globalization"
    - "the swedish system of innovation regional synergies in a knowledge based economy"

Connected through hyperedge HE-2 (induced by source paper "can technology life cycles be indicated by diversity in patent classifications the crucial role of variety"):
  with members:
    - "patents as instruments for exploring innovation dynamics geographic and technological perspectives on photovoltaic cells"
    - "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations"
    - "interactive overlay maps for us patent uspto data based on international patent classifications ipc"
    - "how journal rankings can suppress interdisciplinary research a comparison between innovation studies and business management"

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)