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 "the great division"):
  Abstract: When information flow fails, when Democrats and Republicans do not talk to each other, when Israelis and Palestinians do not talk to each other, and when North Koreans and South Koreans do not talk to each other, mis-perceptions, biases and fake news arise. In this paper we present an in-depth study of political polarization and social division using Twitter data and Monte Carlo simulations. First, we study at the aggregate level people's inclination to retweet within their own ideological circle. Introducing the concept of cocoon ratio, we show that Donald Trump's followers are 2.56 more likely to retweet a fellow Trump follower than to retweet a Hillary Clinton follower. Second, going down to the individual level, we show that the tendency of retweeting exclusively within one's ideological circle is stronger for women than for men and that such tendency weakens as one's social capital grows. Third, we use a one-dimensional Ising model to simulate how a society with high cocoon ratios could end up becoming completely divided. We conclude with a discussion of our findings with respect to fake news.

Includes members:
  Member "detection and analysis of 2016 us presidential election related rumors on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hgat hierarchical graph attention network for fake news detection")
  Member "this just in fake news packs a lot in title uses simpler repetitive content in text body more similar to satire than real news":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a feature driven approach for identifying pathogenic social media accounts")
  Member "pricing the woman card gender politics between hillary clinton and donald trump":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "how polarized have we become a multimodal classification of trump followers and clinton followers")
  Member "voting with feet who are leaving hillary clinton and donald trump":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a hybrid model for role related user classification on twitter")
  Member "deciphering the 2016 u s presidential campaign in the twitter sphere a comparison of the trumpists and clintonists":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "who falls for online political manipulation")

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)