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 follower count fallacy detecting twitter users with manipulated follower count"):
  Abstract: Online Social Networks (OSN) are increasingly being used as platform for an effective communication, to engage with other users, and to create a social worth via number of likes, followers and shares. Such metrics and crowd-sourced ratings give the OSN user a sense of social reputation which she tries to maintain and boost to be more influential. Users artificially bolster their social reputation via black-market web services. In this work, we identify users which manipulate their projected follower count using an unsupervised local neighborhood detection method. We identify a neighborhood of the user based on a robust set of features which reflect user similarity in terms of the expected follower count. We show that follower count estimation using our method has 84.2% accuracy with a low error rate. In addition, we estimate the follower count of the user under suspicion by finding its neighborhood drawn from a large random sample of Twitter. We show that our method is highly tolerant to synthetic manipulation of followers. Using the deviation of predicted follower count from the displayed count, we are also able to detect customers with a high precision of 98.62%

Includes members:
  Member "an army of me sockpuppets in online discussion communities":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep unified multimodal embeddings for understanding both content and users in social media networks")
  Member "fairjudge trustworthy user prediction in rating platforms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "catching loosely synchronized behavior in face of camouflage")
  Member "detection of opinion spam based on anomalous rating deviation":
    also connected through other hyperedges:
      (none)
  Member "fame for sale":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "how many bots are you following")
  Member "klout score measuring influence across multiple social networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "midmod osn a microscopic level information diffusion model for online social networks")
  Member "people are strange when you re a stranger impact and influence of bots on social networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "arming the public with artificial intelligence to counter social bots")
  Member "paying for likes understanding facebook like fraud using honeypots":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the art of social bots a review and a refined taxonomy")
  Member "what they do in shadows twitter underground follower market":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the many faces of link fraud")

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)