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: "trend of narratives in the age of misinformation"
  Abstract: Social media enabled a direct path from producer to consumer of contents changing the way users get informed, debate, and shape their worldviews. Such a disintermediation might weaken consensus on social relevant issues in favor of rumors, mistrust, or conspiracy thinking—e.g., chem-trails inducing global warming, the link between vaccines and autism, or the New World Order conspiracy. Previous studies pointed out that consumers of conspiracy-like content are likely to aggregate in homophile clusters—i.e., echo-chambers. Along this path we study, by means of a thorough quantitative analysis, how different topics are consumed inside the conspiracy echo-chamber in the Italian Facebook. Through a semi-automatic topic extraction strategy, we show that the most consumed contents semantically refer to four specific categories: environment, diet, health, and geopolitics. We find similar consumption patterns by comparing users activity (likes and comments) on posts belonging to these different semantic categories. Finally, we model users mobility across the distinct topics finding that the more a user is active, the more he is likely to span on all categories. Once inside a conspiracy narrative users tend to embrace the overall corpus.

Connected through hyperedge HE-1 (induced by source paper "influence of fake news in twitter during the 2016 us presidential election"):
  with members:
    - "anatomy of an online misinformation network"
    - "the spread of low credibility content by social bots"
    - "validation of twitter opinion trends with national polling aggregates hillary clinton vs donald trump"
    - "limited individual attention and online virality of low quality information"
    - "online human bot interactions detection estimation and characterization"
    - "users polarization on facebook and youtube"
    - "hoaxy a platform for tracking online misinformation"
    - "the anatomy of brexit debate on facebook"

Connected through hyperedge HE-2 (induced by source paper "rating reliability and bias in news articles does ai assistance help everyone"):
  with members:
    - "predicting factuality of reporting and bias of news media sources"
    - "sampling the news producers a large news and feature data set for the study of the complex media landscape"
    - "this just in fake news packs a lot in title uses simpler repetitive content in text body more similar to satire than real news"
    - "a stylometric inquiry into hyperpartisan and fake news"
    - "fake news detection on social media a data mining perspective"
    - "stop clickbait detecting and preventing clickbaits in online news media"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "scikit learn machine learning in python"

Connected through hyperedge HE-3 (induced by source paper "poprank ranking pages impact and users engagement on facebook"):
  with members:
    - "misinformation spreading on facebook"
    - "users polarization on facebook and youtube"
    - "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-4 (induced by source paper "polarization of the vaccination debate on facebook"):
  with members:
    - "debunking in a world of tribes"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "collective attention in the age of mis information"
    - "objective criteria for the evaluation of clustering methods"

Connected through hyperedge HE-5 (induced by source paper "identifying the social signals that drive online discussions a case study of reddit communities"):
  with members:
    - "cats and captions vs creators and the clock comparing multimodal content to context in predicting relative popularity"
    - "the impact of crowds on news engagement a reddit case study"
    - "science askscience and badscience on the coexistence of highly related communities"
    - "characterizing the language of online communities and its relation to community reception"
    - "breaking the news first impressions matter on online news"
    - "all who wander on the prevalence and characteristics of multi community engagement"
    - "talking to the crowd what do people react to in online discussions"
    - "how to ask for a favor a case study on the success of altruistic requests"

Connected through hyperedge HE-6 (induced by source paper "robust clustering of languages across wikipedia growth"):
  with members:
    - "the evolution of wikipedia s norm network"
    - "understanding editing behaviors in multilingual wikipedia"
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"
    - "a practical approach to language complexity a wikipedia case study"

Connected through hyperedge HE-7 (induced by source paper "on the statistical properties of viral misinformation in online social media"):
  with members:
    - "early warning of human crowds based on query data from baidu maps analysis based on shanghai stampede"
    - "users polarization on facebook and youtube"
    - "hoaxy a platform for tracking online misinformation"
    - "personality traits and echo chambers on facebook"
    - "debunking in a world of tribes"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "emotional dynamics in the age of misinformation"
    - "computational fact checking from knowledge networks"

Connected through hyperedge HE-8 (induced by source paper "towards the modeling of behavioral trajectories of users in online social media"):
  with members:
    - "explaining the emergence of echo chambers on social media the role of ideology and extremism"
    - "network segregation in a model of misinformation and fact checking"
    - "users polarization on facebook and youtube"
    - "hoaxy a platform for tracking online misinformation"
    - "the anatomy of brexit debate on facebook"
    - "on the statistical properties of viral misinformation in online social media"
    - "conflict and computation on wikipedia a finite state machine analysis of editor interactions"
    - "personality traits and echo chambers on facebook"

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)