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 "best of both worlds simultaneous evaluation of researchers and their works"):
  Abstract: This paper explores a dual score system that simultaneously evaluates the relative importance of researchers and their works. It is a modification of the CITEX algorithm recently described in Pal and Ruj (2015). Using available publication data for $m$ author keywords (as a proxy for researchers) and $n$ papers it is possible to construct a $m \times n$ author-paper feature matrix. This is further combined with citation data to construct a HITS-like algorithm that iteratively satisfies two criteria: first, \emph{a good author is cited by good authors}, and second, \emph{a good paper is cited by good authors}. Following Pal and Ruj, the resulting algorithm produces an author eigenscore and a paper eigenscore. The algorithm is tested on 213,530 citable publications listed under Thomson ISI's "\emph{Information Science \& Library Science}" JCR category from 1980--2012.

Includes members:
  Member "citex a new citation index to measure the relative importance of authors and papers in scientific publications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "analyzing research performance proposition of a new complementary index")
  Member "pagerank standing on the shoulders of giants":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "trust evaluation mechanism for user recruitment in mobile crowd sensing in the internet of things")

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)