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: "misinformation spreading on facebook"
  Abstract: Social media are pervaded by unsubstantiated or untruthful rumors, that contribute to the alarming phenomenon of misinformation. The widespread presence of a heterogeneous mass of information sources may affect the mechanisms behind the formation of public opinion. Such a scenario is a florid environment for digital wildfires when combined with functional illiteracy, information overload, and confirmation bias. In this essay, we focus on a collection of works aiming at providing quantitative evidence about the cognitive determinants behind misinformation and rumor spreading. We account for users’ behavior with respect to two distinct narratives: (a) conspiracy and (b) scientific information sources. In particular, we analyze Facebook data on a time span of 5 years in both the Italian and the US context, and measure users’ response to (1) information consistent with one’s narrative, (2) troll contents, and (3) dissenting information e.g., debunking attempts. Our findings suggest that users tend to (a) join polarized communities sharing a common narrative (echo chambers), (b) acquire information confirming their beliefs (confirmation bias) even if containing false claims, and (c) ignore dissenting information.

Connected through hyperedge HE-1 (induced by source paper "poprank ranking pages impact and users engagement on facebook"):
  with members:
    - "users polarization on facebook and youtube"
    - "trend of narratives in the age of misinformation"
    - "debunking in a world of tribes"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "viral misinformation the role of homophily and polarization"

Connected through hyperedge HE-2 (induced by source paper "the limited reach of fake news on twitter during 2019 european elections"):
  with members:
    - "influence of fake news in twitter during the 2016 us presidential election"
    - "cashtag piggybacking uncovering spam and bot activity in stock microblogs on twitter"
    - "polarization and fake news early warning of potential misinformation targets"
    - "the anatomy of brexit debate on facebook"
    - "science vs conspiracy collective narratives in the age of misinformation"

Connected through hyperedge HE-3 (induced by source paper "polarization and fake news early warning of potential misinformation targets"):
  with members:
    - "polarization of the vaccination debate on facebook"
    - "it s always april fools day on the difficulty of social network misinformation classification via propagation features"
    - "leveraging the crowd to detect and reduce the spread of fake news and misinformation"
    - "fake news detection on social media a data mining perspective"
    - "automatically identifying fake news in popular twitter threads"
    - "tweet acts a speech act classifier for twitter"
    - "debunking in a world of tribes"
    - "vews a wikipedia vandal early warning system"

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)