human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "an evaluation of caching policies for memento timemaps"
  Abstract: As defined by the Memento Framework, TimeMaps are ma-chine-readable lists of time-specific copies -- called "mementos" -- of an archived original resource. In theory, as an archive acquires additional mementos over time, a TimeMap should be monotonically increasing. However, there are reasons why the number of mementos in a TimeMap would decrease, for example: archival redaction of some or all of the mementos, archival restructuring, and transient errors on the part of one or more archives. We study TimeMaps for 4,000 original resources over a three month period, note their change patterns, and develop a caching algorithm for TimeMaps suitable for a reverse proxy in front of a Memento aggregator. We show that TimeMap cardinality is constant or monotonically increasing for 80.2% of all TimeMap downloads observed in the observation period. The goal of the caching algorithm is to exploit the ideally monotonically increasing nature of TimeMaps and not cache responses with fewer mementos than the already cached TimeMap. This new caching algorithm uses conditional cache replacement and a Time To Live (TTL) value to ensure the user has access to the most complete TimeMap available. Based on our empirical data, a TTL of 15 days will minimize the number of mementos missed by users, and minimize the load on archives contributing to TimeMaps.

Connected through hyperedge HE-1 (induced by source paper "a framework for aggregating private and public web archives"):
  with members:
    - "impact of uri canonicalization on memento count"
    - "on the change in archivability of websites over time"
    - "profiling web archive coverage for top level domain and content language"

Connected through hyperedge HE-2 (induced by source paper "difficulties of timestamping archived web pages"):
  with members:
    - "impact of uri canonicalization on memento count"
    - "rules of acquisition for mementos and their content"
    - "decentralized trusted timestamping using the crypto currency bitcoin"
    - "a framework for evaluation of composite memento temporal coherence"
    - "memento time travel for the web"
    - "transparent format migration of preserved web content"

Connected through hyperedge HE-3 (induced by source paper "routing memento requests using binary classifiers"):
  with members:
    - "profiling web archive coverage for top level domain and content language"
    - "memento time travel for the web"

Connected through hyperedge HE-4 (induced by source paper "profiling web archive coverage for top level domain and content language"):
  with members:
    - "who and what links to the internet archive"
    - "access patterns for robots and humans in web archives"
    - "how much of the web is archived"
    - "an http based versioning mechanism for linked data"
    - "memento time travel for the web"
    - "the structure of broad topics on the web"

Connected through hyperedge HE-5 (induced by source paper "resurrecting my revolution using social link neighborhood in bringing context to the disappearing web"):
  with members:
    - "losing my revolution how many resources shared on social media have been lost"
    - "how much of the web is archived"

Question: Please tell me which class the center node 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)