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: "sourcerercc scaling code clone detection to big code"
  Abstract: Despite a decade of active research, there has been a marked lack in clone detection techniques that scale to large repositories for detecting near-miss clones. In this paper, we present a token-based clone detector, SourcererCC, that can detect both exact and near-miss clones from large inter-project repositories using a standard workstation. It exploits an optimized inverted-index to quickly query the potential clones of a given code block. Filtering heuristics based on token ordering are used to significantly reduce the size of the index, the number of code-block comparisons needed to detect the clones, as well as the number of required token-comparisons needed to judge a potential clone. We evaluate the scalability, execution time, recall and precision of SourcererCC, and compare it to four publicly available and state-of-the-art tools. To measure recall, we use two recent benchmarks: (1) a big benchmark of real clones, BigCloneBench, and (2) a Mutation/Injection-based framework of thousands of fine-grained artificial clones. We find SourcererCC has both high recall and precision, and is able to scale to a large inter-project repository (25K projects, 250MLOC) using a standard workstation.

Connected through hyperedge HE-1 (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"
    - "stack overflow in github any snippets there"

Connected through hyperedge HE-2 (induced by source paper "multi objective optimization for token based clone detection"):
  with members:
    - "toxic code snippets on stack overflow"
    - "stack overflow in github any snippets there"

Connected through hyperedge HE-3 (induced by source paper "code clone matching a practical and effective approach to find code snippets"):
  with members:
    - "active inductive logic programming for code search"

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 "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"
    - "stack overflow in github any snippets there"
    - "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-6 (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"
    - "stack overflow in github any snippets there"
    - "from query to usable code an analysis of stack overflow code snippets"

Connected through hyperedge HE-7 (induced by source paper "μvuldeepecker a deep learning based system for multiclass vulnerability detection"):
  with members:
    - "vuldeepecker a deep learning based system for vulnerability detection"
    - "a deep tree based model for software defect prediction"
    - "efficient estimation of word representations in vector space"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-8 (induced by source paper "aroma code recommendation via structural code search"):
  with members:
    - "oreo detection of clones in the twilight zone"
    - "swim synthesizing what i mean code search and idiomatic snippet synthesis"
    - "learning api usages from bytecode a statistical approach"

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)