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 "mutual clustering coefficient based suspicious link detection approach for online social networks"):
  Abstract: Online social networks (OSNs) are trendy and rapid information propagation medium on the web where millions of new connections either positive such as acquaintance or negative such as animosity, are being established every day around the world. The negative links (or sometimes we can say harmful connections) are mostly established by fake profiles as they are being created by minds with ill aims. Detecting negative (or suspicious) links within online users can better aid in mitigation of fake profiles from OSNs. A modified clustering coefficient formula, named as Mutual Clustering Coefficient represented by M_cc, is introduced to quantitatively measure the connectivity between the mutual friends of two connected users in a group. In this paper, we present a classification system based on mutual clustering coefficient and profile information of users to detect the suspicious links within the user communities. Profile information helps us to find the similarity between users. Different similarity measures have been employed to calculate the profile similarity between a connected user pair. Experimental results demonstrate that four basic and easily available features such as work(w),education(e),home_town(ht)and current_city(cc) along with M_CC play a vital role in designing a successful classification system for the detection of suspicious links.

Includes members:
  Member "sneak into devil s colony a study of fake profiles in online social networks and the cyber law":
    also connected through other hyperedges:
      (none)
  Member "design and implementation of imacros based data crawler for behavioral analysis of facebook users":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "sneak into devil s colony a study of fake profiles in online social networks and the cyber law")
  Member "the darpa twitter bot challenge":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "don t feed the troll detecting troll behavior via inverse reinforcement learning")
  Member "an iac approach for detecting profile cloning in online social networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sneak into devil s colony a study of fake profiles in online social networks and the cyber law")
  Member "friend or foe fake profile identification in online social networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "predicting the role of political trolls in social media")
  Member "crawling facebook for social network analysis purposes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "dynamic graph operations a consistent non blocking approach")

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)