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 "measuring the knowledge based economy of china in terms of synergy among technological organizational and geographic attributes of firms"):
  Abstract: Using the possible synergy among geographic, size, and technological distributions of firms in the Orbis database, we find the greatest reduction of uncertainty at the level of the 31 provinces of China, and an additional 18.0% at the national level. Some of the coastal provinces stand out as expected, but the metropolitan areas of Beijing and Shanghai are (with Tianjan and Chonqing) most pronounced at the next-lower administrative level of (339) prefectures, since these four metropoles are administratively defined at both levels. Focusing on high- and medium-tech manufacturing, a shift toward Beijing and Shanghai is indicated, and the synergy is on average enhanced (as expected; but not for all provinces). Unfortunately, the Orbis data is incomplete since it was collected for commercial and not for administrative or governmental purposes. However, we show a methodology that can be used by others who may have access to higher-quality statistical data for the measurement.

Includes members:
  Member "redundancy generation in university industry government relations the triple helix modeled measured and simulated":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "open innovation and triple helix models of innovation can synergy in innovation systems be measured")
  Member "the triple helix of university industry government relations at the country level and its dynamic evolution under the pressures of globalization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "can synergy in triple helix relations be quantified a review of the development of the triple helix indicator")
  Member "the swedish system of innovation regional synergies in a knowledge based economy":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "synergy in the knowledge base of u s innovation systems at national state and regional levels the contributions of high tech manufacturing and knowledge intensive services")
  Member "the mutual information of university industry government relations an indicator of the triple helix dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "regions innovation systems and the north south divide in italy")

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)