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: "understanding the characteristics of internet short video sharing youtube as a case study"
  Abstract: Established in 2005, YouTube has become the most successful Internet site providing a new generation of short video sharing service. Today, YouTube alone comprises approximately 20% of all HTTP traffic, or nearly 10% of all traffic on the Internet. Understanding the features of YouTube and similar video sharing sites is thus crucial to their sustainable development and to network traffic engineering. In this paper, using traces crawled in a 3-month period, we present an in-depth and systematic measurement study on the characteristics of YouTube videos. We find that YouTube videos have noticeably different statistics compared to traditional streaming videos, ranging from length and access pattern, to their active life span, ratings, and comments. The series of datasets also allows us to identify the growth trend of this fast evolving Internet site in various aspects, which has seldom been explored before. We also look closely at the social networking aspect of YouTube, as this is a key driving force toward its success. In particular, we find that the links to related videos generated by uploaders' choices form a small-world network. This suggests that the videos have strong correlations with each other, and creates opportunities for developing novel caching or peer-to-peer distribution schemes to efficiently deliver videos to end users.

Connected through hyperedge HE-1 (induced by source paper "producers of popular science web videos between new professionalism and old gender issues"):
  with members:
    - "typologies of the popular science web video"

Connected through hyperedge HE-2 (induced by source paper "analyzing and characterizing political discussions in whatsapp public groups"):
  with members:
    - "forensic analysis of instant messenger applications on android devices"

Connected through hyperedge HE-3 (induced by source paper "ted talk recommender using speech transcripts"):
  with members:
    - "distributed representations of sentences and documents"

Connected through hyperedge HE-4 (induced by source paper "request patterns and caching for vod services with recommendation systems"):
  with members:
    - "serving content with unknown demand the high dimensional regime"

Connected through hyperedge HE-5 (induced by source paper "sentiment analysis on youtube a brief survey"):
  with members:
    - "how opinions are received by online communities a case study on amazon com helpfulness votes"

Connected through hyperedge HE-6 (induced by source paper "catalog dynamics impact of content publishing and perishing on the performance of a lru cache"):
  with members:
    - "a unified approach to the performance analysis of caching systems"
    - "analyzing the performance of lru caches under non stationary traffic patterns"
    - "a versatile and accurate approximation for lru cache performance"

Connected through hyperedge HE-7 (induced by source paper "predicting the popularity of online content"):
  with members:
    - "novelty and collective attention"
    - "social information processing in news aggregation"

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.NI(Networking and Internet Architecture)