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: "the rise and fall of a central contributor dynamics of social organization and performance in the gentoo community"
  Abstract: Social organization and division of labor crucially influence the performance of collaborative software engineering efforts. In this paper, we provide a quantitative analysis of the relation between social organization and performance in Gentoo, an Open Source community developing a Linux distribution. We study the structure and dynamics of collaborations as recorded in the project's bug tracking system over a period of ten years. We identify a period of increasing centralization after which most interactions in the community were mediated by a single central contributor. In this period of maximum centralization, the central contributor unexpectedly left the project, thus posing a significant challenge for the community. We quantify how the rise, the activity as well as the subsequent sudden dropout of this central contributor affected both the social organization and the bug handling performance of the Gentoo community. We analyze social organization from the perspective of network theory and augment our quantitative findings by interviews with prominent members of the Gentoo community which shared their personal insights.

Connected through hyperedge HE-1 (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"
    - "categorizing bugs with social networks a case study on four open source software communities"

Connected through hyperedge HE-2 (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"
    - "categorizing bugs with social networks a case study on four open source software communities"
    - "the role of emotions in contributors activity a case study on the gentoo community"

Connected through hyperedge HE-3 (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"
    - "categorizing bugs with social networks a case study on four open source software communities"

Connected through hyperedge HE-4 (induced by source paper "towards an interdisciplinary socio technical analysis of software ecosystem health"):
  with members:
    - "an empirical comparison of developer retention in the rubygems and npm software ecosystems"

Connected through hyperedge HE-5 (induced by source paper "the role of emotions in contributors activity a case study on the gentoo community"):
  with members:
    - "categorizing bugs with social networks a case study on four open source software communities"
    - "social resilience in online communities the autopsy of friendster"
    - "positive words carry less information than negative words"
    - "negative effects of incentivised viral campaigns for activity in social networks"
    - "a quantitative study of social organisation in open source software communities"
    - "twitter mood predicts the stock market"
    - "personalised and dynamic trust in social networks"

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)