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: "a top to bottom view energy analysis for mobile application source code"
  Abstract: Energy efficiency significantly influences user experience of battery-driven devices such as smartphones and tablets. The goal of an energy model of source code is to lay a foundation for energy-saving techniques from architecture to software development. The challenge is linking hardware energy consumption to the high-level application source code, considering the complex run-time context, such as thread scheduling, user inputs and the abstraction of the virtual machine. Traditional energy modeling is bottom-to-top, but this approach faces obstacles when software consists of a number of abstract layers. In this paper, we propose a top-to-bottom view. We focus on identifying valuable information from the source code, which results in the idea of utilizing an intermediate representation, "energy operation", to capture the energy characteristics. The experiment results show that the energy model at such a high-level can reduce the error margin to within 10% and enable energy breakdown at function-level, which helps developers understand the energy-related features of the code.

Connected through hyperedge HE-1 (induced by source paper "an energy aware programming approach for mobile application development guided by a fine grained energy model"):
  with members:
    - "data dependent energy modelling a worst case perspective"

Connected through hyperedge HE-2 (induced by source paper "a source level energy optimization framework for mobile applications"):
  with members:
    - "a simple and scalable static analysis for bound analysis and amortized complexity analysis"

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.OH(Other Computer Science)