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: "investigating italian disinformation spreading on twitter in the context of 2019 european elections"
  Abstract: We investigate the presence (and the influence) of disinformation spreading on online social networks in Italy, in the 5-month period preceding the 2019 European Parliament elections. To this aim we collected a large-scale dataset of tweets associated to thousands of news articles published on Italian disinformation websites. In the observation period, a few outlets accounted for most of the deceptive information circulating on Twitter, which was driven by controversial and polarizing topics of debate such as immigration, national safety and (Italian) nationalism. We unraveled the existence of an intricate network of connections between different disinformation outlets across Europe, U.S. and Russia, which seemingly acted in a coordinated manner in the period before the elections. Overall, the spread of disinformation on Twitter was confined in a limited community, strongly (and explicitly) related to the Italian conservative and far-right political environment, who seldom focused online discussions on the up-coming elections.

Connected through hyperedge HE-1 (induced by source paper "a multi layer approach to disinformation detection on twitter"):
  with members:
    - "influence of fake news in twitter during the 2016 us presidential election"
    - "fake news detection on social media using geometric deep learning"
    - "defending against neural fake news"
    - "anatomy of an online misinformation network"
    - "polarization and fake news early warning of potential misinformation targets"
    - "analyzing the digital traces of political manipulation the 2016 russian interference twitter campaign"
    - "the spread of low credibility content by social bots"
    - "hoaxy a platform for tracking online misinformation"

Connected through hyperedge HE-2 (induced by source paper "text mining forma mentis networks reconstruct public perception of the stem gender gap in social media"):
  with members:
    - "from topic networks to distributed cognitive maps zipfian topic universes in the area of volunteered geographic information"
    - "historical comparison of gender inequality in scientific careers across countries and disciplines"
    - "validation of twitter opinion trends with national polling aggregates hillary clinton vs donald trump"
    - "text authorship identified using the dynamics of word co occurrence networks"
    - "a complex network approach to stylometry"
    - "probing the topological properties of complex networks modeling short written texts"

Connected through hyperedge HE-3 (induced by source paper "hoaxitaly a collection of italian disinformation and fact checking stories shared on twitter in 2019"):
  with members:
    - "do you really follow them automatic detection of credulous twitter users"
    - "topology comparison of twitter diffusion networks reliably reveals disinformation news"
    - "the spread of low credibility content by social bots"

Connected through hyperedge HE-4 (induced by source paper "a dip into a deep well online political advertisements valence and european electoral campaigning"):
  with members:
    - "a new anew evaluation of a word list for sentiment analysis in microblogs"

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)