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 "t factor a metric for measuring impact on twitter"):
  Abstract: Based on the definition of the well-known h index we propose a t factor for measuring the impact of publications (and other entities) on Twitter. The new index combines tweet and retweet data in a balanced way, whereby retweets are seen as data reflecting the impact of initial tweets. The t factor is defined as follows: a unit (single publication, journal, researcher, research group etc.) has factor t if t of its Nt tweets have at least t retweets each and the other (Nt-t) tweets have ≤t retweets each.

Includes members:
  Member "alternative metrics in scientometrics a meta analysis of research into three altmetrics":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "do altmetrics assess societal impact in a comparable way to case studies an empirical test of the convergent validity of altmetrics based on data from the uk research excellence framework ref")
  Member "do altmetrics point to the broader impact of research an overview of benefits and disadvantages of altmetrics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the stability of twitter metrics a study on unavailable twitter mentions of scientific publications")
  Member "real time classification of twitter trends":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "discourse aware rumour stance classification in social media using sequential classifiers")
  Member "tweeting biomedicine an analysis of tweets and citations in the biomedical literature":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "do altmetrics assess societal impact in a comparable way to case studies an empirical test of the convergent validity of altmetrics based on data from the uk research excellence framework ref")
  Member "the role of twitter in the life cycle of a scientific publication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "scholarly twitter metrics")

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)