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: "modelling view count dynamics in youtube"
  Abstract: The goal of this paper is to study the behaviour of view-count in YouTube. We first propose several bio-inspired models for the evolution of the view-count of YouTube videos. We show, using a large set of empirical data, that the view-count for 90% of videos in YouTube can indeed be associated to at least one of these models, with a Mean Error which does not exceed 5%. We derive automatic ways of classifying the view-count curve into one of these models and of extracting the most suitable parameters of the model. We study empirically the impact of videos' popularity and category on the evolution of its view-count. We finally use the above classification along with the automatic parameters extraction in order to predict the evolution of videos' view-count.

Connected through hyperedge HE-1 (induced by source paper "modeling and performance analysis of clustered device to device networks"):
  with members:
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"
    - "wireless device to device caching networks basic principles and system performance"
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"
    - "an analytical framework for device to device communication in cellular networks"
    - "a survey on device to device communication in cellular networks"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "spectrum sharing for device to device communication in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "spatial multi lru distributed caching for wireless networks with coverage overlaps"):
  with members:
    - "wireless caching technical misconceptions and business barriers"
    - "spatial multi lru caching for wireless networks with coverage overlaps"
    - "joint cache channel coding over erasure broadcast channels"
    - "optimal geographic caching in cellular networks"
    - "unravelling the impact of temporal and geographical locality in content caching systems"
    - "modeling and analysis of content caching in wireless small cell networks"
    - "least recently used caches under the shot noise model"
    - "catalog dynamics impact of content publishing and perishing on the performance of a lru cache"

Connected through hyperedge HE-3 (induced by source paper "performance of spatial multi lru caching under traffic with temporal locality"):
  with members:
    - "wireless caching technical misconceptions and business barriers"
    - "spatial multi lru caching for wireless networks with coverage overlaps"
    - "joint cache channel coding over erasure broadcast channels"
    - "optimal geographic caching in cellular networks"
    - "unravelling the impact of temporal and geographical locality in content caching systems"
    - "least recently used caches under the shot noise model"
    - "catalog dynamics impact of content publishing and perishing on the performance of a lru cache"
    - "on the complexity of optimal routing and content caching in heterogeneous networks"

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.SI(Social and Information Networks)