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: "can i implement your algorithm a model for reproducible research software"
  Abstract: The reproduction and replication of novel results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the issues closely revolve around the ability to implement novel algorithms and approaches. Taking an approach from the literature and applying it to a new codebase frequently requires local knowledge missing from the published manuscripts and project websites. Alongside this issue, benchmarking, and the development of fair --- and widely available --- benchmark sets present another barrier. #R##N#In this paper, we outline several suggestions to address these issues, driven by specific examples from a range of scientific domains. Finally, based on these suggestions, we propose a new open platform for scientific software development which effectively isolates specific dependencies from the individual researcher and their workstation and allows faster, more powerful sharing of the results of scientific software engineering.

Connected through hyperedge HE-1 (induced by source paper "modelling and analysing behaviours and emotions via complex user interactions"):
  with members:
    - "an analysis of introductory programming courses at uk universities"
    - "incorporating emotion and personality based analysis in user centered modelling"
    - "140 characters to victory using twitter to predict the uk 2015 general election"
    - "emotion detection from text"
    - "seeing stars exploiting class relationships for sentiment categorization with respect to rating scales"
    - "thumbs up or thumbs down semantic orientation applied to unsupervised classification of reviews"
    - "improved use of continuous attributes in c4 5"

Connected through hyperedge HE-2 (induced by source paper "reproducibility as a technical specification"):
  with members:
    - "towards reproducibility as a service"
    - "top tips to make your research irreproducible"
    - "community driven reviewing and validation of publications"
    - "share and enjoy publishing useful and usable scientific models"
    - "best practices for scientific computing"
    - "case studies and challenges in reproducibility in the computational sciences"
    - "the recomputation manifesto"

Connected through hyperedge HE-3 (induced by source paper "dear cav we need to talk about reproducibility"):
  with members:
    - "community driven reviewing and validation of publications"
    - "share and enjoy publishing useful and usable scientific models"
    - "case studies and challenges in reproducibility in the computational sciences"

Connected through hyperedge HE-4 (induced by source paper "top tips to make your research irreproducible"):
  with members:
    - "share and enjoy publishing useful and usable scientific models"
    - "best practices for scientific computing"
    - "the recomputation manifesto"

Connected through hyperedge HE-5 (induced by source paper "share and enjoy publishing useful and usable scientific models"):
  with members:
    - "community driven reviewing and validation of publications"
    - "the recomputation manifesto"

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)