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: "weak ties subtle role of information diffusion in online social networks"
  Abstract: As a social media, online social networks play a vital role in the social information diffusion. However, due to its unique complexity, the mechanism of the diffusion in online social networks is different from the ones in other types of networks and remains unclear to us. Meanwhile, few works have been done to reveal the coupled dynamics of both the structure and the diffusion of online social networks. To this end, in this paper, we propose a model to investigate how the structure is coupled with the diffusion in online social networks from the view of weak ties. Through numerical experiments on large-scale online social networks, we find that in contrast to some previous research results, selecting weak ties preferentially to republish cannot make the information diffuse quickly, while random selection can achieve this goal. However, when we remove the weak ties gradually, the coverage of the information will drop sharply even in the case of random selection. We also give a reasonable explanation for this by extra analysis and experiments. Finally, we conclude that weak ties play a subtle role in the information diffusion in online social networks. On one hand, they act as bridges to connect isolated local communities together and break through the local trapping of the information. On the other hand, selecting them as preferential paths to republish cannot help the information spread further in the network. As a result, weak ties might be of use in the control of the virus spread and the private information diffusion in real-world applications.

Connected through hyperedge HE-1 (induced by source paper "an agent based model for emotion contagion and competition in online social media"):
  with members:
    - "limited individual attention and online virality of low quality information"
    - "measuring emotional contagion in social media"
    - "anger is more influential than joy sentiment correlation in weibo"
    - "agent based model for rural urban migration a dynamic consideration"
    - "the role of social networks in information diffusion"
    - "negative emotions boost user activity at bbc forum"
    - "twitter reciprocal reply networks exhibit assortativity with respect to happiness"
    - "happiness is assortative in online social networks"

Connected through hyperedge HE-2 (induced by source paper "the road to success assessing the fate of linguistic innovations in online communities"):
  with members:
    - "competition and selection among conventions"
    - "tracing the use of practices through networks of collaboration"
    - "loyalty in online communities"
    - "the status gradient of trends in social media"
    - "the social dynamics of language change in online networks"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "diffusion of lexical change in social media"
    - "niche as a determinant of word fate in online groups"

Connected through hyperedge HE-3 (induced by source paper "competition between homophily and information entropy maximization in social networks"):
  with members:
    - "cumulative effect in information diffusion empirical study on a microblogging network"
    - "estimating and sampling graphs with multidimensional random walks"
    - "distance is not dead social interaction and geographical distance in the internet era"
    - "rhythms of social interaction messaging within a massive online network"

Connected through hyperedge HE-4 (induced by source paper "implicit contextual integrity in online social networks"):
  with members:
    - "on facebook most ties are weak"

Connected through hyperedge HE-5 (induced by source paper "on facebook most ties are weak"):
  with members:
    - "the role of social networks in information diffusion"
    - "a large scale community structure analysis in facebook"
    - "a novel measure of edge centrality in social networks"
    - "crawling facebook for social network analysis purposes"
    - "four degrees of separation"

Connected through hyperedge HE-6 (induced by source paper "the role of strong and weak ties in facebook a community structure perspective"):
  with members:
    - "the role of social networks in information diffusion"
    - "a large scale community structure analysis in facebook"
    - "a novel measure of edge centrality in social networks"
    - "generalized louvain method for community detection in large networks"
    - "the anatomy of the facebook social graph"
    - "crawling facebook for social network analysis purposes"
    - "four degrees of separation"
    - "towards unbiased bfs sampling"

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)