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 "think before you collect setting up a data collection approach for social media studies"):
  Abstract: This chapter discusses important challenges of designing the data collection setup for social media studies. It outlines how it is necessary to carefully think about which data to collect and to use, and to recognize the effects that a specific data collection approach may have on the types of analyses that can be carried out and the results that can be expected in a study. We will highlight important questions one should ask before setting up a data collection framework and relate them to the different options for accessing social media data. The chapter will mainly be illustrated with examples from studying Twitter and Facebook. A case study studying political communication around the 2013 elections in Germany should serve as a practical application scenario. In this case study we constructed several social media datasets based on different collection approaches, using data from Facebook and Twitter.

Includes members:
  Member "tweets vs mendeley readers how do these two social media metrics differ":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "readership data and research impact")
  Member "when politicians talk assessing online conversational practices of political parties on twitter":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "algorithmic distortion of informational landscapes")
  Member "evolution of reddit from the front page of the internet to a self referential community":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "characterizing behavioral trends in a community driven discussion platform")
  Member "when politicians tweet a study on the members of the german federal diet":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "when politicians talk assessing online conversational practices of political parties on twitter")

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.CY(Computers and Society)