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: "stack overflow in github any snippets there"
  Abstract: When programmers look for how to achieve certain programming tasks, Stack Overflow is a popular destination in search engine results. Over the years, Stack Overflow has accumulated an impressive knowledge base of snippets of code that are amply documented. We are interested in studying how programmers use these snippets of code in their projects. Can we find Stack Overflow snippets in real projects? When snippets are used, is this copy literal or does it suffer adaptations? And are these adaptations specializations required by the idiosyncrasies of the target artifact, or are they motivated by specific requirements of the programmer? The large-scale study presented on this paper analyzes 909k non-fork Python projects hosted on Github, which contain 290M function definitions, and 1.9M Python snippets captured in Stack Overflow. Results are presented as quantitative analysis of block-level code cloning intra and inter Stack Overflow and GitHub, and as an analysis of programming behaviors through the qualitative analysis of our findings.

Connected through hyperedge HE-1 (induced by source paper "code duplication on stack overflow"):
  with members:
    - "usage and attribution of stack overflow code snippets in github projects"
    - "stack overflow considered harmful the impact of copy paste on android application security"
    - "stack overflow a code laundering platform"
    - "attribution required stack overflow code snippets in github projects"
    - "from query to usable code an analysis of stack overflow code snippets"

Connected through hyperedge HE-2 (induced by source paper "a study of potential code borrowing and license violations in java projects on github"):
  with members:
    - "public git archive a big code dataset for all"
    - "sourcerer s apprentice and the study of code snippet migration"
    - "sourcerercc scaling code clone detection to big code"

Connected through hyperedge HE-3 (induced by source paper "multi objective optimization for token based clone detection"):
  with members:
    - "toxic code snippets on stack overflow"
    - "sourcerercc scaling code clone detection to big code"

Connected through hyperedge HE-4 (induced by source paper "an empirical study of c vulnerabilities in crowd sourced code examples"):
  with members:
    - "toxic code snippets on stack overflow"
    - "how reliable is the crowdsourced knowledge of security implementation"
    - "oreo detection of clones in the twilight zone"
    - "sotorrent reconstructing and analyzing the evolution of stack overflow posts"
    - "gistable evaluating the executability of python code snippets on github"
    - "sotorrent studying the origin evolution and usage of stack overflow code snippets"
    - "secure coding practices in java challenges and vulnerabilities"
    - "stack overflow considered harmful the impact of copy paste on android application security"

Connected through hyperedge HE-5 (induced by source paper "v2 fast detection of configuration drift in python"):
  with members:
    - "dockerizeme automatic inference of environment dependencies for python code snippets"
    - "finding faster configurations using flash"
    - "gistable evaluating the executability of python code snippets on github"
    - "how to design a program repair bot insights from the repairnator project"
    - "tortoise interactive system configuration repair"
    - "from query to usable code an analysis of stack overflow code snippets"
    - "a quantitative study of java software buildability"

Connected through hyperedge HE-6 (induced by source paper "toxic code snippets on stack overflow"):
  with members:
    - "usage and attribution of stack overflow code snippets in github projects"
    - "stack overflow considered harmful the impact of copy paste on android application security"
    - "stack overflow a code laundering platform"
    - "attribution required stack overflow code snippets in github projects"
    - "sourcerercc scaling code clone detection to big code"
    - "from query to usable code an analysis of stack overflow code snippets"

Connected through hyperedge HE-7 (induced by source paper "analyzing and supporting adaptation of online code examples"):
  with members:
    - "usage and attribution of stack overflow code snippets in github projects"
    - "stack overflow considered harmful the impact of copy paste on android application security"
    - "stack overflow a code laundering platform"
    - "sourcerercc scaling code clone detection to big code"
    - "from query to usable code an analysis of stack overflow code snippets"

Connected through hyperedge HE-8 (induced by source paper "framework code samples how are they maintained and used by developers"):
  with members:
    - "an empirical study on the impact of refactoring activities on evolving client used apis"
    - "from query to usable code an analysis of stack overflow code snippets"
    - "understanding the factors that impact the popularity of github repositories"

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)