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 "redundancy generation in university industry government relations the triple helix modeled measured and simulated"):
  Abstract: A Triple Helix (TH) of bi- and trilateral relations among universities, industries, and governments can be considered as an ecosystem in which uncertainty can be reduced auto-catalytically. The correlations among the distributions of relations span a vector space in which two vectors (P and Q) represent "sending" and "receiving," respectively. These vectors can also be understood in terms of the generation versus reduction of uncertainty in the communication field that results from interactions among the three (bi-lateral) communication channels. We specify a set of Lotka-Volterra equations between the vectors that can be solved. Redundancy generation can then be simulated and the results can be decomposed in terms of the TH components. Among other things, we show that the strength and frequency of the relations are independent parameters. Different components in terms of frequencies in triple-helix systems can also be distinguished and interpreted using Fourier analysis of the empirical time-series. The case of co-authorship relations in Japan is analyzed as an empirical example; but "triple contingencies" in an ecosystem of relations can also be considered more generally as a model for redundancy generation by providing meaning to the (Shannon-type) information in inter-human communications.

Includes members:
  Member "advances in science visualization social networks semantic maps and discursive knowledge":
    also connected through other hyperedges:
      (none)
  Member "the swedish system of innovation regional synergies in a knowledge based economy":
    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 communication of meaning and the structuration of expectations giddens structuration theory and luhmann s self organization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "open innovation and triple helix models of innovation can synergy in innovation systems be measured")

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)