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: "collective attention in the age of mis information"
  Abstract: In this work we study, on a sample of 2.3 million individuals, how Facebook users consumed different information at the edge of political discussion and news during the last Italian electoral competition. Pages are categorized, according to their topics and the communities of interests they pertain to, in a) alternative information sources (diffusing topics that are neglected by science and main stream media); b) online political activism; and c) main stream media. We show that attention patterns are similar despite the different qualitative nature of the information, meaning that unsubstantiated claims (mainly conspiracy theories) reverberate for as long as other information. Finally, we categorize users according to their interaction patterns among the different topics and measure how a sample of this social ecosystem (1279 users) responded to the injection of 2788 false information posts. Our analysis reveals that users which are prominently interacting with alternative information sources (i.e. more exposed to unsubstantiated claims) are more prone to interact with false claims.

Connected through hyperedge HE-1 (induced by source paper "computational human dynamics"):
  with members:
    - "joint embedding of structure and features via graph convolutional networks"
    - "location occupation and semantics based socioeconomic status inference on twitter"
    - "the temporal event graph"
    - "link transmission centrality in large scale social networks"
    - "socioeconomic dependencies of linguistic patterns in twitter a multivariate analysis"
    - "graph embedding techniques applications and performance a survey"
    - "correlations and dynamics of consumption patterns in social economic networks"
    - "stream graphs and link streams for the modeling of interactions over time"

Connected through hyperedge HE-2 (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-3 (induced by source paper "homogeneity based transmissive process to model true and false news in social networks"):
  with members:
    - "the rise of guardians fact checking url recommendation to combat fake news"
    - "false information on web and social media a survey"
    - "limiting the spread of fake news on social media platforms by evaluating users trustworthiness"
    - "fake news detection in social networks via crowd signals"
    - "leveraging the crowd to detect and reduce the spread of fake news and misinformation"
    - "fake news mitigation via point process based intervention"
    - "joint modeling of topics citations and topical authority in academic corpora"
    - "science vs conspiracy collective narratives in the age of misinformation"

Connected through hyperedge HE-4 (induced by source paper "mis information operations an integrated perspective"):
  with members:
    - "rtbust exploiting temporal patterns for botnet detection on twitter"
    - "polarization rank a study on european news consumption on facebook"
    - "polarization and fake news early warning of potential misinformation targets"
    - "it s always april fools day on the difficulty of social network misinformation classification via propagation features"
    - "public discourse and news consumption on online social media a quantitative cross platform analysis of the italian referendum"
    - "the paradigm shift of social spambots evidence theories and tools for the arms race"
    - "botornot a system to evaluate social bots"
    - "debunking in a world of tribes"

Connected through hyperedge HE-5 (induced by source paper "using deep networks and transfer learning to address disinformation"):
  with members:
    - "automatic detection of fake news"
    - "hoaxy a platform for tracking online misinformation"
    - "exploring the limits of language modeling"
    - "character level convolutional networks for text classification"
    - "computational fact checking from knowledge networks"
    - "truthy mapping the spread of astroturf in microblog streams"

Connected through hyperedge HE-6 (induced by source paper "automatically applying a credibility appraisal tool to track vaccination related communications shared on social media"):
  with members:
    - "do diffusion protocols govern cascade growth"
    - "universal language model fine tuning for text classification"
    - "regularizing and optimizing lstm language models"
    - "csi a hybrid deep model for fake news detection"
    - "hoaxy a platform for tracking online misinformation"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-7 (induced by source paper "lexical convergence and collective identities within facebook echo chambers"):
  with members:
    - "debunking in a world of tribes"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "emotional dynamics in the age of misinformation"
    - "social determinants of content selection in the age of mis information"

Connected through hyperedge HE-8 (induced by source paper "lexical convergence inside and across echo chambers"):
  with members:
    - "debunking in a world of tribes"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "viral misinformation the role of homophily and polarization"

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)