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: "categorizing bugs with social networks a case study on four open source software communities"
  Abstract: Efficient bug triaging procedures are an important precondition for successful collaborative software engineering projects. Triaging bugs can become a laborious task particularly in open source software (OSS) projects with a large base of comparably inexperienced part-time contributors. In this paper, we propose an efficient and practical method to identify valid bug reports which a) refer to an actual software bug, b) are not duplicates and c) contain enough information to be processed right away. Our classification is based on nine measures to quantify the social embeddedness of bug reporters in the collaboration network. We demonstrate its applicability in a case study, using a comprehensive data set of more than 700,000 bug reports obtained from the Bugzilla installation of four major OSS communities, for a period of more than ten years. For those projects that exhibit the lowest fraction of valid bug reports, we find that the bug reporters' position in the collaboration network is a strong indicator for the quality of bug reports. Based on this finding, we develop an automated classification scheme that can easily be integrated into bug tracking platforms and analyze its performance in the considered OSS communities. A support vector machine (SVM) to identify valid bug reports based on the nine measures yields a precision of up to 90.3% with an associated recall of 38.9%. With this, we significantly improve the results obtained in previous case studies for an automated early identification of bugs that are eventually fixed. Furthermore, our study highlights the potential of using quantitative measures of social organization in collaborative software engineering. It also opens a broad perspective for the integration of social awareness in the design of support infrastructures.

Connected through hyperedge HE-1 (induced by source paper "assessing the quality of the steps to reproduce in bug reports"):
  with members:
    - "design challenges and misconceptions in neural sequence labeling"
    - "ncrf an open source neural sequence labeling toolkit"
    - "what you can cram into a single vector probing sentence embeddings for linguistic properties"
    - "crashscope a practical tool for automated testing of android applications"
    - "end to end sequence labeling via bi directional lstm cnns crf"
    - "enriching word vectors with subword information"
    - "automatically discovering reporting and reproducing android application crashes"
    - "neural architectures for named entity recognition"

Connected through hyperedge HE-2 (induced by source paper "a systematic mapping study of developer social network research"):
  with members:
    - "developer prioritization in bug repositories"
    - "on using network science in mining developers collaboration in software engineering a systematic literature review"
    - "classifying developers into core and peripheral an empirical study on count and network metrics"
    - "lessons learned from applying social network analysis on an industrial free libre open source software ecosystem"
    - "analysis of the social community based on the network growing model in open source software community"
    - "evolutionary trends of developer coordination a network approach"
    - "converging work talk patterns in online task oriented communities"
    - "a quantitative study of social organisation in open source software communities"

Connected through hyperedge HE-3 (induced by source paper "characterizing and understanding software developer networks in security development"):
  with members:
    - "a manually curated dataset of fixes to vulnerabilities of open source software"
    - "why software projects need heroes lessons learned from 1100 projects"
    - "we don t need another hero the impact of heroes on software development"
    - "developer prioritization in bug repositories"
    - "classifying developers into core and peripheral an empirical study on count and network metrics"
    - "evolutionary trends of developer coordination a network approach"
    - "the rise and fall of a central contributor dynamics of social organization and performance in the gentoo community"

Connected through hyperedge HE-4 (induced by source paper "analysing time stamped co editing networks in software development teams using git2net"):
  with members:
    - "when is a network a network multi order graphical model selection in pathways and temporal networks"
    - "how do oss projects change in number and size a large scale analysis to test a model of project growth"
    - "the role of emotions in contributors activity a case study on the gentoo community"
    - "the rise and fall of a central contributor dynamics of social organization and performance in the gentoo community"

Connected through hyperedge HE-5 (induced by source paper "git2net mining time stamped co editing networks from large git repositories"):
  with members:
    - "when is a network a network multi order graphical model selection in pathways and temporal networks"
    - "how do oss projects change in number and size a large scale analysis to test a model of project growth"
    - "the rise and fall of a central contributor dynamics of social organization and performance in the gentoo community"

Connected through hyperedge HE-6 (induced by source paper "doing agile versus being agile empirical results from 250 projects"):
  with members:
    - "we don t need another hero the impact of heroes on software development"
    - "on the naturalness of buggy code"

Connected through hyperedge HE-7 (induced by source paper "cooperation among competitors in the open source arena the case of openstack"):
  with members:
    - "lessons learned from applying social network analysis on an industrial free libre open source software ecosystem"
    - "crafting a systematic literature review on open source platforms"
    - "collaboration in the open source arena the webkit case"
    - "digital ecosystems in the clouds towards community cloud computing"

Connected through hyperedge HE-8 (induced by source paper "lessons learned from applying social network analysis on an industrial free libre open source software ecosystem"):
  with members:
    - "collaboration in the open source arena the webkit case"

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)