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 "the role of strong and weak ties in facebook a community structure perspective"):
  Abstract: Social dynamics explaining communication among individuals and social relationships represent a major eld of investigation in the current scenario of online social network research, whose importance and impact in everyday life is growing at unprecedented rate. This work reports our quantitative assessment of so-called strength of weak ties theory, foreseen by Granovetter’s seminal studies, applied to well-known Facebook social graph. We characterize the features of weak/strong ties considering the community structure of this network, studying a sample available in literature containing millions of users and their social relationships: after discovering the communities of aggregation among users, we classify ties according to the original Granovetter’s, and study the statistical features of such ties, discovering clearly emerging organization patterns.

Includes members:
  Member "the role of social networks in information diffusion":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep learning approach on information diffusion in heterogeneous networks")
  Member "a large scale community structure analysis in facebook":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "uncovering complex overlapping pattern of communities in large scale social networks")
  Member "a novel measure of edge centrality in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "novel edge and density metrics for link cohesion")
  Member "generalized louvain method for community detection in large networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "compressive sensing for cut improvement and local clustering")
  Member "the anatomy of the facebook social graph":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "graph bert only attention is needed for learning graph representations")
  Member "crawling facebook for social network analysis purposes":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dynamic graph operations a consistent non blocking approach")
  Member "four degrees of separation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "diffusion improves graph learning")
  Member "towards unbiased bfs sampling":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "true nonlinear dynamics from incomplete networks")

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)