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: "on the lag of library vulnerability updates an investigation into the repackage and delivery of security fixes within the npm javascript ecosystem"
  Abstract: Vulnerabilities in third-party libraries is a growing concern for the software developer, as it poses risks not only to the software client itself but to the entire software ecosystem. To mitigate these risks, developers are strongly recommended to update their dependencies. Recent studies show that affected developers are not likely to respond to the vulnerability threat. However, another reason for the lag of vulnerability updates is due to slow repackaging (i.e., package the vulnerability fix into a new version) and delivery (i.e., affected client adopt the new version) of the fix. To understand these lags of updates, we use both qualitative and quantitative approaches to conduct an empirical study on how 188 fixes were repackaged and delivered across over eight hundred thousand releases of npm software clients hosted on GitHub. We report two lags: (1) lags in repackaging occur as vulnerability fixes are more likely to be bundled with other non-related updates (i.e., about 83.33\% of commits are not related to the fix) and (2) lags in the delivery are caused by clients that are more likely to adopt the minor fix than adopt the patch fix. Furthermore, other factors such as downstream dependencies and severity do have an impact. We also find that freshness of packages does not impact the amount of lags. The identification of these two lags opens up different avenues on how to facilitate faster fix delivery throughout a library ecosystem.

Connected through hyperedge HE-1 (induced by source paper "empirical notes on the interaction between continuous kernel fuzzing and development"):
  with members:
    - "a review of machine learning applications in fuzzing"
    - "a demand side viewpoint to software vulnerabilities in wordpress plugins"
    - "toward validation of textual information retrieval techniques for software weaknesses"
    - "faults in linux 2 6"

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)