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 "identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications"):
  Abstract: The growing complexity of challenges involved in scientific progress demands ever more frequent application of competencies and knowledge from different scientific fields. The present work analyzes the degree of collaboration among scientists from different disciplines to identify the most frequent “combinations of knowledge” in research activity. The methodology adopts an innovative bibliometric approach based on the disciplinary affiliation of publication coauthors. The field of observation includes all publications (167,179) indexed in the Science Citation Index Expanded for the years 2004–2008, authored by all scientists in the hard sciences (43,223) at Italian universities (68). The analysis examines 205 research fields grouped in 9 disciplines. Identifying the fields with the highest potential of interdisciplinary collaboration is useful to inform research polices at the national and regional levels, as well as management strategies at the institutional level. © 2012 Wiley Periodicals, Inc.

Includes members:
  Member "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "comparison of research productivity of italian and norwegian professors and universities")
  Member "university industry research collaboration a model to assess university capability":
    also connected through other hyperedges:
      (none)
  Member "the relationship between scientists research performance and the degree of internationalization of their research":
    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 "a unified approach to mapping and clustering of bibliometric networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "large publishing consortia produce higher citation impact research but co author contributions are hard to evaluate")
  Member "university industry collaboration in italy a bibliometric examination":
    also connected through other hyperedges:
      - Hyperedge HE-4 (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-5 (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)