human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a large scale in depth analysis of developers personalities in the apache ecosystem"):
  Abstract: Context: Large-scale distributed projects are typically the results of collective efforts performed by multiple developers with heterogeneous personalities. Objective: We aim to find evidence that personalities can explain developers' behavior in large scale-distributed projects. For example, the propensity to trust others - a critical factor for the success of global software engineering - has been found to influence positively the result of code reviews in distributed projects. Method: In this paper, we perform a quantitative analysis of ecosystem-level data from the code commits and email messages contributed by the developers working on the Apache Software Foundation (ASF) projects, as representative of large scale-distributed projects. Results: We find that there are three common types of personality profiles among Apache developers, characterized in particular by their level of Agreeableness and Neuroticism. We also confirm that developers' personality is stable over time. Moreover, personality traits do not vary with their role, membership, and extent of contribution to the projects. We also find evidence that more open developers are more likely to make contributors to Apache projects. Conclusion: Overall, our findings reinforce the need for future studies on human factors in software engineering to use psychometric tools to control for differences in developers' personalities.

Includes members:
  Member "establishing personal trust based connections in distributed teams":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on developers personality in large scale distributed projects the case of the apache ecosystem")
  Member "on developers personality in large scale distributed projects the case of the apache ecosystem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the technical debt dataset")
  Member "sentiment polarity detection for software development":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sentimoji an emoji powered learning approach for sentiment analysis in software engineering")
  Member "a gold standard for emotion annotation in stack overflow":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "stackemo towards enhancing user experience by augmenting stack overflow with emojis")
  Member "natural language or not nlon a package for software engineering text analysis pipeline":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on using machine learning to identify knowledge in api reference documentation")
  Member "emotxt a toolkit for emotion recognition from text":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "attention based modeling for emotion detection and classification in textual conversations")
  Member "a preliminary analysis on the effects of propensity to trust in distributed software development":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "does code quality affect pull request acceptance an empirical study")
  Member "25 tweets to know you a new model to predict personality with social media":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "automatic extraction of personality from text challenges and opportunities")

Question: Please tell me which class the source paper 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)