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 "displaying things in common to encourage friendship formation a large randomized field experiment"):
  Abstract: Friendship formation is important to online social network sites and to society, but can suffer from informational friction. In this study, we demonstrate that social networks may effectively use an IT-facilitated intervention -- displaying things in common (TIC) between users (mutual hometown, interest, education, work, city) -- to encourage friendship formation. Displaying TIC updates an individual's belief about the shared similarity with another and reduces information friction that may be hard to overcome in offline communication. In collaboration with an online social network, we conduct a randomized field experiment that randomly varies the prominence of different things in common when a user is browsing a non-friend's profile. The dyad-level exogenous variation, orthogonal to any (un)observed structural factors in viewer-profile's network, allows us to cleanly isolate the role of preferences for TIC in driving network formation and homophily. We find that displaying TICs to viewers can significantly increase their probability of sending a friend requests and forming friendships, and is especially effective for pairs of people who have little in common. We also find that displaying TIC can improve friendship formation for a wide range of viewers with different demographics and is more effective when the TICs are more surprising to the viewer.

Includes members:
  Member "limited attention and centrality in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "understanding and forecasting lifecycle events in information cascades")
  Member "the role of social networks in information diffusion":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deep learning approach on information diffusion in heterogeneous 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)