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 "a longitudinal measurement study of 4chan s politically incorrect forum and its effect on the web"):
  Abstract: Although it has been a part of the dark underbelly of the Internet since its inception, recent events have brought the discussion board site 4chan to the forefront of the world's collective mind. In particular, /pol/, 4chan's "Politically Incorrect" board has become a central figure in the outlandish 2016 Presidential election. Even though 4chan has long been viewed as the "final boss of the Internet," it remains relatively unstudied in the academic literature. #R##N#In this paper we analyze /pol/ along several axes using a dataset of over 8M posts. We first perform a general characterization that reveals how active posters are, as well as how some unique features of 4chan affect the flow of discussion. We then analyze the content posted to /pol/ with a focus on determining topics of interest and types of media shared, as well as the usage of hate speech and differences in poster demographics. We additionally provide quantitative evidence of /pol/'s collective attacks on other social media platforms. We perform a quantitative case study of /pol/'s attempt to poison anti-trolling machine learning technology by altering the language of hate on social media. Then, via analysis of comments from the 10s of thousands of YouTube videos linked on /pol/, we provide a mechanism for detecting attacks from /pol/ threads on 3rd party social media services.

Includes members:
  Member "automatic verbal aggression detection for russian and american imageboards":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "kek cucks and god emperor trump a measurement study of 4chan s politically incorrect forum and its effects on the web")
  Member "detecting state of aggression in sentences using cnn":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "decision support with text based emotion recognition deep learning for affective computing")
  Member "antisocial behavior in online discussion communities":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "empirical analysis of multi task learning for reducing model bias in toxic comment detection")
  Member "experimental analysis of popular smartphone apps offering anonymity ephemerality and end to end encryption":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "kek cucks and god emperor trump a measurement study of 4chan s politically incorrect forum and its effects on the web")
  Member "stfu noob predicting crowdsourced decisions on toxic behavior in online games":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "intergroup contact in the wild characterizing language differences between intergroup and single group members in nba related discussion forums")
  Member "clustering memes in social media":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "semantic search of memes on twitter")

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.SI(Social and Information Networks)