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: "sustainable software ecosystems for open science"
  Abstract: Sustainable software ecosystems are difficult to build, and require concerted effort, community norms and collaborations. In science it is especially important to establish communities in which faculty, staff, students and open-source professionals work together and treat software as a first-class product of scientific investigation-just as mathematics is treated in the physical sciences. Kitware has a rich history of establishing collaborative projects in the science, engineering and medical research fields, and continues to work on improving that model as new technologies and approaches become available. This approach closely follows and is enhanced by the movement towards practicing open, reproducible research in the sciences where data, source code, methodology and approach are all available so that complex experiments can be independently reproduced and verified.

Connected through hyperedge HE-1 (induced by source paper "summary of the first workshop on sustainable software for science practice and experiences wssspe1"):
  with members:
    - "experiences from software engineering of large scale amr multiphysics code frameworks"
    - "software abstractions and methodologies for hpc simulation codes on future architectures"
    - "transitive credit as a means to address social and technological concerns stemming from citation and attribution of digital products"
    - "initial findings from a study of best practices and models for cyberinfrastructure software sustainability"
    - "sustainable software development for next gen sequencing ngs bioinformatics on emerging platforms"
    - "experiences with automated build and test for geodynamics simulation codes"
    - "cactus issues for sustainable simulation software"
    - "visit experiences with sustainable software"

Connected through hyperedge HE-2 (induced by source paper "sustainable software ecosystems software engineers domain scientists and engineers collaborating for science"):
  with members:
    - "summary of the first workshop on sustainable software for science practice and experiences wssspe1"

Connected through hyperedge HE-3 (induced by source paper "first workshop on on sustainable software for science practice and experiences wssspe submission and peer review process and results"):
  with members:
    - "software abstractions and methodologies for hpc simulation codes on future architectures"
    - "initial findings from a study of best practices and models for cyberinfrastructure software sustainability"
    - "sustainable software development for next gen sequencing ngs bioinformatics on emerging platforms"
    - "experiences with automated build and test for geodynamics simulation codes"
    - "cactus issues for sustainable simulation software"
    - "visit experiences with sustainable software"
    - "simplifying the development use and sustainability of hpc software"
    - "enabling reproducible science with vistrails"

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.SE(Software Engineering)