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: "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.

Connected through hyperedge HE-1 (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"):
  with members:
    - "regions innovation systems and the north south divide in italy"
    - "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"
    - "measuring triple helix synergy in the russian innovation systems at regional provincial and national levels"
    - "the swedish system of innovation regional synergies in a knowledge based economy"
    - "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator"
    - "rotational symmetry and the transformation of innovation systems in a triple helix of university industry government relations"

Connected through hyperedge HE-2 (induced by source paper "open innovation and triple helix models of innovation can synergy in innovation systems be measured"):
  with members:
    - "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"
    - "measuring triple helix synergy in the russian innovation systems at regional provincial and national levels"
    - "redundancy generation in university industry government relations the triple helix modeled measured and simulated"
    - "the swedish system of innovation regional synergies in a knowledge based economy"
    - "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator"
    - "rotational symmetry and the transformation of innovation systems in a triple helix of university industry government relations"
    - "the communication of meaning and the structuration of expectations giddens structuration theory and luhmann s self organization"

Connected through hyperedge HE-3 (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"
    - "knowledge generating efficiency in innovation systems the relation between structural and temporal effects"
    - "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"
    - "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-4 (induced by source paper "synergy cycles in the norwegian innovation system the relation between synergy and cycle values"):
  with members:
    - "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"
    - "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator"
    - "rotational symmetry and the transformation of innovation systems in a triple helix of university industry government relations"
    - "redundancy in systems which entertain a model of themselves interaction information and the self organization of anticipation"

Connected through hyperedge HE-5 (induced by source paper "measuring triple helix synergy in the russian innovation systems at regional provincial and national levels"):
  with members:
    - "the swedish system of innovation regional synergies in a knowledge based economy"
    - "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator"
    - "redundancy in systems which entertain a model of themselves interaction information and the self organization of anticipation"

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)