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: "personality traits and echo chambers on facebook"
  Abstract: In online social networks, users tend to select information that adhere to their system of beliefs and to form polarized groups of like minded people. Polarization as well as its effects on online social interactions have been extensively investigated. Still, the relation between group formation and personality traits remains unclear. A better understanding of the cognitive and psychological determinants of online social dynamics might help to design more efficient communication strategies and to challenge the digital misinformation threat. In this work, we focus on users commenting posts published by US Facebook pages supporting scientific and conspiracy-like narratives, and we classify the personality traits of those users according to their online behavior. We show that different and conflicting communities are populated by users showing similar psychological profiles, and that the dominant personality model is the same in both scientific and conspiracy echo chambers. Moreover, we observe that the permanence within echo chambers slightly shapes users' psychological profiles. Our results suggest that the presence of specific personality traits in individuals lead to their considerable involvement in supporting narratives inside virtual echo chambers.

Connected through hyperedge HE-1 (induced by source paper "fairness in online social network timelines measurements models and mechanism design"):
  with members:
    - "biases in the facebook news feed a case study on the italian elections"
    - "do diffusion protocols govern cascade growth"
    - "closing the ai knowledge gap"
    - "fairness of exposure in rankings"
    - "quantifying search bias investigating sources of bias for political searches in social media"
    - "alpha fair coded caching"
    - "on fairness and calibration"
    - "interventions over predictions reframing the ethical debate for actuarial risk assessment"

Connected through hyperedge HE-2 (induced by source paper "biases in the facebook news feed a case study on the italian elections"):
  with members:
    - "quantifying search bias investigating sources of bias for political searches in social media"
    - "users polarization on facebook and youtube"
    - "the role of social networks in information diffusion"

Connected through hyperedge HE-3 (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"
    - "trend of narratives in the age of misinformation"
    - "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-4 (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"
    - "the rise of social bots"

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)