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: "the wisdom of the network how adaptive networks promote collective intelligence"
  Abstract: Social networks continuously change as people create new ties and break existing ones. It is widely noted that our social embedding exerts strong influence on what information we receive, and how we form beliefs and make decisions. However, most studies overlook the dynamic nature of social networks, and its role in fostering adaptive collective intelligence. It remains unknown (1) how network structures adapt to the performances of individuals, and (2) whether this adaptation promotes the accuracy of individual and collective decisions. Here, we answer these questions through a series of behavioral experiments and simulations. Our results reveal that groups of people embedded in dynamic social networks can adapt to biased and non-stationary information environments. As a result, individual and collective accuracy is substantially improved over static networks and unconnected groups. Moreover, we show that groups in dynamic networks far outperform their best-performing member, and that even the best member's judgment substantially benefits from group engagement. Thereby, our findings substantiate the role of dynamic social networks as adaptive mechanisms for refining individual and collective judgments.

Connected through hyperedge HE-1 (induced by source paper "creativity in dynamic networks how divergent thinking is impacted by one s choice of peers"):
  with members:
    - "buildup of speaking skills in an online learning community a network analytic exploration"
    - "efficient estimation of word representations in vector space"

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)