human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "online social network analysis a survey of research applications in computer science"):
  Abstract: The emergence and popularization of online social networks suddenly made available a large amount of data from social organization, interaction and human behavior. All this information opens new perspectives and challenges to the study of social systems, being of interest to many fields. Although most online social networks are recent (less than fifteen years old), a vast amount of scientific papers was already published on this topic, dealing with a broad range of analytical methods and applications. This work describes how computational researches have approached this subject and the methods used to analyze such systems. Founded on a wide though non-exaustive review of the literature, a taxonomy is proposed to classify and describe different categories of research. Each research category is described and the main works, discoveries and perspectives are highlighted.

Includes members:
  Member "inheritance patterns in citation networks reveal scientific memes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "predicting research trends with semantic and neural networks with an application in quantum physics")
  Member "who will retweet this automatically identifying and engaging strangers on twitter to spread information":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the art of social bots a review and a refined taxonomy")
  Member "networkit an interactive tool suite for high performance network analysis":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "efficient community detection in boolean composed multiplex networks")
  Member "networkit a tool suite for large scale complex network analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "combined centrality measures for an improved characterization of influence spread in social networks")
  Member "can cascades be predicted":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep collaborative embedding for information cascade prediction")
  Member "exploring image virality in google plus":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "who will share my image predicting the content diffusion path in online social networks")
  Member "popularity prediction in microblogging network a case study on sina weibo":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an experimental study of structural diversity in social networks")
  Member "a scalable heuristic for viral marketing under the tipping model":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "influence maximization for fixed heterogeneous thresholds")

Question: Please tell me which class the source paper 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)