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 quantitative study of social organisation in open source software communities"
  Abstract: The success of open source projects crucially depends on the voluntary contributions of a sufficiently large community of users. Apart from the mere size of the community, interesting questions arise when looking at the evolution of structural features of collaborations between community members. In this article, we discuss several network analytic proxies that can be used to quantify different aspects of the social organisation in social collaboration networks. We particularly focus on measures that can be related to the cohesiveness of the communities, the distribution of responsibilities and the resilience against turnover of community members. We present a comparative analysis on a large-scale dataset that covers the full history of collaborations between users of $14$ major open source software communities. Our analysis covers both aggregate and time-evolving measures and highlights differences in the social organisation across communities. We argue that our results are a promising step towards the definition of suitable, potentially multi-dimensional, resilience and risk indicators for open source software communities.

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

Connected through hyperedge HE-2 (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"
    - "the rise and fall of a central contributor dynamics of social organization and performance in the gentoo community"
    - "positive words carry less information than negative words"
    - "negative effects of incentivised viral campaigns for activity in social networks"
    - "twitter mood predicts the stock market"
    - "personalised and dynamic trust in social networks"

Connected through hyperedge HE-3 (induced by source paper "categorizing bugs with social networks a case study on four open source software communities"):
  with members:
    - "developer prioritization in bug repositories"
    - "an o m algorithm for cores decomposition of networks"

Connected through hyperedge HE-4 (induced by source paper "the rise and fall of a central contributor dynamics of social organization and performance in the gentoo community"):
  with members:
    - "categorizing bugs with social networks a case study on four open source software communities"

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)