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 "the collaboration behaviors of scientists in italy a field level analysis"):
  Abstract: The analysis of research collaboration by field is traditionally conducted beginning with the classification of the publications from the context of interest. In this work we propose an alternative approach based on the classification of the authors by field. The proposed method is more precise if the intended use is to provide a benchmark for the evaluation of individual propensity to collaborate. In the current study we apply the new methodology to all Italian university researchers in the hard sciences, measuring the propensity to collaborate for the various fields: in general, and specifically with intramural colleagues, extramural domestic and extramural foreign organizations. Using a simulation, we show that the results present substantial differences from those obtained through application of traditional approaches.

Includes members:
  Member "assessing national strengths and weaknesses in research fields":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a nation s foreign and domestic professors which have better research performance the italian case")
  Member "gender differences in research collaboration":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gender disparities in international research collaboration a large scale bibliometric study of 25 000 university professors")
  Member "identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "specialization versus diversification in research activities the extent intensity and relatedness of field diversification by individual scientists")
  Member "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "the dangers of performance based research funding in non competitive higher education systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the impact of unproductive and top researchers on overall university research performance")
  Member "the relationship between scientists research performance and the degree of internationalization of their research":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "gender disparities in international research collaboration a large scale bibliometric study of 25 000 university professors")
  Member "university industry collaboration in italy a bibliometric examination":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "analysing scientific collaborations of new zealand institutions using scopus bibliometric data")
  Member "research collaboration and productivity is there correlation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "an individual level assessment of the relationship between spin off activities and research performance in universities")

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.DL(Digital Libraries)