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: "weighted parametric systems modelling and architecture specification"
  Abstract: Modern systems' design usually lies in multiple components which are connected via their interfaces. Synchronous applications, like IoT, require parametric systems, i.e., systems that aim to operate independently of the number of their components. A key feature in modelling of parametric systems is the architecture specification that defines the underlying topology and provides coordination rules. On the other hand, to achieve optimized requirements and performance there is need for describing parametric architectures and parametric behavior in a quantitative setting. In this paper we study the quantitative modelling and architecture specification of component-based parametric systems. We introduce a weighted extended first-order interaction logic as a specification language for weighted parametric architectures. We also introduce weighted parametric models defined by composed transition systems whose interactions are expressed by formulas of our weighted logic. Equivalence of weighted extended first-order interaction logic formulas is decidable in the class of computable fields. We show that our weighted logic can efficiently describe several software architectures with quantitative characteristics.

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.LO(Logic in Computer Science)