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: "emergence of complex institutions in a large population of self governing communities"
  Abstract: Most aspects of our lives are governed by large, highly developed institutions that integrate several governance tasks under one authority structure. But theorists differ as to the mechanisms that drive the development of intricate governance systems from rudimentary beginnings. Is the emergence of regime complexity a symptom of the runaway accretion of impedimenta? Or does integration occur because a complex institution is better adapted to a complex environment? Here we examine the emergence of complex governance regimes in 5,000 sovereign, resource-constrained, self-governing online communities, ranging in scale from zero to thousands of users. These communities begin with zero population and no governance infrastructure, and as they grow they face challenging resource problems. Consequently, they are subject to selection pressures that make it possible to test the hypothesis that governance complexity can enhance community fitness. We find that a successful community's rules are more numerous, broader in scope, and more varied in type for communities that aspire to be large, relative to those that aspire to remain small. Large communities also tend to rely more on rules that concentrate power in administrators, and on rules that manage bad behavior. Overall, these measures of complexity increase with size among successful communities, suggesting that complexity can make institutions more effective at mobilizing large-scale collective responses to resource constraints.

Connected through hyperedge HE-1 (induced by source paper "assembly in populations of social networks"):
  with members:
    - "caveat emptor computational social science large scale missing data in a widely published reddit corpus"
    - "assembling thefacebook using heterogeneity to understand online social network assembly"
    - "laboratories of oligarchy how the iron law extends to peer production"
    - "friendship networks and social status"

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)