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 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).

Includes members:
  Member "measuring the knowledge based economy of china in terms of synergy among technological organizational and geographic attributes of firms":
    also connected through other hyperedges:
      - 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")
  Member "the swedish system of innovation regional synergies in a knowledge based economy":
    also connected through other hyperedges:
      - 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")
  Member "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator":
    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 "redundancy in systems which entertain a model of themselves interaction information and the self organization of anticipation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the self organization of meaning and the reflexive communication of information")

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)