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: "vulnerable open source dependencies counting those that matter"
  Abstract: BACKGROUND: Vulnerable dependencies are a known problem in today's open-source software ecosystems because OSS libraries are highly interconnected and developers do not always update their dependencies. AIMS: In this paper we aim to present a precise methodology, that combines the code-based analysis of patches with information on build, test, update dates, and group extracted from the very code repository, and therefore, caters to the needs of industrial practice for correct allocation of development and audit resources. METHOD: To understand the industrial impact of the proposed methodology, we considered the 200 most popular OSS Java libraries used by SAP in its own software. Our analysis included 10905 distinct GAVs (group, artifact, version) when considering all the library versions. RESULTS: We found that about 20% of the dependencies affected by a known vulnerability are not deployed, and therefore, they do not represent a danger to the analyzed library because they cannot be exploited in practice. Developers of the analyzed libraries are able to fix (and actually responsible for) 82% of the deployed vulnerable dependencies. The vast majority (81%) of vulnerable dependencies may be fixed by simply updating to a new version, while 1% of the vulnerable dependencies in our sample are halted, and therefore, potentially require a costly mitigation strategy. CONCLUSIONS: Our case study shows that the correct counting allows software development companies to receive actionable information about their library dependencies, and therefore, correctly allocate costly development and audit resources, which is spent inefficiently in case of distorted measurements.

Connected through hyperedge HE-1 (induced by source paper "on preempting advanced persistent threats using probabilistic graphical models"):
  with members:
    - "on the inability of markov models to capture criticality in human mobility"
    - "snorkel rapid training data creation with weak supervision"
    - "catching worms trojan horses and pups unsupervised detection of silent delivery campaigns"
    - "thou shalt not depend on me analysing the use of outdated javascript libraries on the web"
    - "attack analysis results for adversarial engagement 1 of the darpa transparent computing program"
    - "towards detecting compromised accounts on social networks"
    - "opengm a c library for discrete graphical models"

Connected through hyperedge HE-2 (induced by source paper "a manually curated dataset of fixes to vulnerabilities of open source software"):
  with members:
    - "a practical approach to the automatic classification of security relevant commits"
    - "beyond metadata code centric and usage based analysis of known vulnerabilities in open source software"
    - "a survey of machine learning for big code and naturalness"
    - "impact assessment for vulnerabilities in open source software libraries"

Connected through hyperedge HE-3 (induced by source paper "analyzing 2 3 million maven dependencies to reveal an essential core in apis"):
  with members:
    - "the emergence of software diversity in maven central"
    - "an empirical comparison of dependency network evolution in seven software packaging ecosystems"
    - "learning api usages from bytecode a statistical approach"
    - "empirical evidence of large scale diversity in api usage of object oriented software"

Connected through hyperedge HE-4 (induced by source paper "the emergence of software diversity in maven central"):
  with members:
    - "on the diversity of software package popularity metrics an empirical study of npm"
    - "the maven dependency graph a temporal graph based representation of maven central"
    - "an empirical comparison of dependency network evolution in seven software packaging ecosystems"
    - "the multiple facets of software diversity recent developments in year 2000 and beyond"

Connected through hyperedge HE-5 (induced by source paper "on the lag of library vulnerability updates an investigation into the repackage and delivery of security fixes within the npm javascript ecosystem"):
  with members:
    - "beyond metadata code centric and usage based analysis of known vulnerabilities in open source software"
    - "an empirical study on android related vulnerabilities"
    - "thou shalt not depend on me analysing the use of outdated javascript libraries on the web"

Connected through hyperedge HE-6 (induced by source paper "the maven dependency graph a temporal graph based representation of maven central"):
  with members:
    - "modeling library dependencies and updates in large software repository universes"

Connected through hyperedge HE-7 (induced by source paper "an empirical analysis of vulnerabilities in python packages for web applications"):
  with members:
    - "a look at the time delays in cvss vulnerability scoring"
    - "on the evolution of technical lag in the npm package dependency network"
    - "toward validation of textual information retrieval techniques for software weaknesses"
    - "attack potential in impact and complexity"
    - "impact assessment for vulnerabilities in open source software libraries"

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)