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 "does campaigning on social media make a difference evidence from candidate use of twitter during the 2015 and 2017 uk elections"):
  Abstract: Politicians all over the world are investing considerable time and effort in both creating and curating social media profiles, with many sending hundreds or even thousands of messages over social platforms during election time, often with the help of trained and professional staff. However, there have been only a handful of papers that have sought to test whether active campaigning on social media actually makes a positive difference to vote share outcomes. All of these studies are based on cross-sectional datasets from one election period that make separating true relationships from unobserved variables problematic. Hence empirical evidence on the actual impact of social media campaigning is thin. #R##N#We analyse data from the first panel study of candidate social media use during elections, based on Twitter use in the 2015 and 2017 elections in the United Kingdom. We find support for the idea that Twitter based campaigning is associated with voting outcomes, a finding which is robust to a variety of different model specifications and a strong empirical test using a two wave panel design. Furthermore, we show that while the impact of Twitter use is small in absolute terms, it is nevertheless comparable with that of increased campaign spending, and could conceivably make a difference in a close electoral race. We use our results to advance theory around the impact of social media use on voter behaviour.

Includes members:
  Member "wikipedia traffic data and electoral prediction towards theoretically informed models":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "novel version of pagerank cheirank and 2drank for wikipedia in multilingual network using social impact")
  Member "where in the world are you geolocation and language identification in twitter":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a hierarchical location prediction neural network for twitter user geolocation")
  Member "a meta analysis of state of the art electoral prediction from twitter data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "measuring relative opinion from location based social media a case study of the 2016 u s presidential election")

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)