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 triple helix synergy in the russian innovation systems at regional provincial and national levels"
  Abstract: We measure synergy for the Russian national, provincial, and regional innovation systems as reduction of uncertainty using mutual information among the three distributions of firm sizes, technological knowledge-bases of firms, and geographical locations. Half a million data at firm level in 2011 were obtained from the Orbis database of Bureau Van Dijk. The firm level data were aggregated at the levels of eight Federal Districts, the regional level of 83 Federal Subjects, and the single level of the Russian Federation. Not surprisingly, the knowledge base of the economy is concentrated in the Moscow region (22.8%); St. Petersburg follows with 4.0%. Only 0.4% of the firms are classified as high-tech, and 2.7% as medium-tech manufacturing (NACE, Rev. 2). Except in Moscow itself, high-tech manufacturing does not add synergy to any other unit at any of the various levels of geographical granularity; instead it disturbs regional coordination even in the region surrounding Moscow ("Moscow Region"). In the case of medium-tech manufacturing, there is also synergy in St. Petersburg. Knowledge-intensive services (KIS; including laboratories) contribute 12.8% to the economy in terms of establishments and contribute to the synergy in all Federal Districts (except the North-Caucasian Federal District), but only in 30 of the 83 Federal Subjects. The synergy in KIS is concentrated in centers of administration. Unlike Western European countries, the knowledge-intensive services (which are often state-affiliated) thus provide backbone to an emerging knowledge-based economy at the level of Federal Districts, but the economy is otherwise not knowledge-based (except for the Moscow region).

Connected through hyperedge HE-1 (induced by source paper "regions innovation systems and the north south divide in italy"):
  with members:
    - "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings"
    - "the mutual information of university industry government relations an indicator of the triple helix dynamics"

Connected through hyperedge HE-2 (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 the knowledge based economy of china in terms of synergy among technological organizational and geographic attributes of firms"
    - "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-3 (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 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 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-4 (induced by source paper "what is the effect of synergy in international collaboration on regional economies"):
  with members:
    - "the swedish system of innovation regional synergies in a knowledge based economy"

Connected through hyperedge HE-5 (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"
    - "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"

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)