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 "can synergy in triple helix relations be quantified a review of the development of the triple helix indicator"):
  Abstract: Triple-Helix arrangements of bi- and trilateral relations can be considered as adaptive eco-systems. During the last decade, we have further developed a Triple-Helix indicator of synergy as reduction of uncertainty in niches that can be shaped among three or more distributions. Reduction of uncertainty can be generated in correlations among distributions of relations, but this (next-order) effect can be counterbalanced by uncertainty generated in the relations. We first explain the indicator, and then review possible results when this indicator is applied to (i) co-author networks of academic, industrial, and governmental authors and (ii) synergies in the distributions of firms over geographical addresses, technological classes, and industrial-size classes for a number of nations. Co-variation is then considered as a measure of relationship. The balance between globalizing and localizing dynamics can be quantified. Too much synergy locally can also be considered as lock-in. Tendencies are different for the globalizing knowledge dynamics versus locally retaining wealth from knowledge in industrial innovations.

Includes members:
  Member "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "research assessment by percentile based double rank analysis")
  Member "knowledge generating efficiency in innovation systems the relation between structural and temporal effects":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "can technology life cycles be indicated by diversity in patent classifications the crucial role of variety")
  Member "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the challenges ahead of spatial scientometrics focusing on the city level")
  Member "measuring triple helix synergy in the russian innovation systems at regional provincial and national levels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "regions innovation systems and the north south divide in italy")
  Member "challenges for regional innovation policies in cee countries spatial concentration and foreign control of us patenting":
    also connected through other hyperedges:
      (none)
  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-5 (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 generation in university industry government relations the triple helix modeled measured and simulated":
    also connected through other hyperedges:
      - Hyperedge HE-6 (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-7 (induced by source paper "synergy cycles in the norwegian innovation system the relation between synergy and cycle values")

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)