human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "complexity dichotomies for unweighted scoring rules"
  Abstract: Scoring systems are an extremely important class of election systems. We study the complexity of manipulation, constructive control by deleting voters (CCDV), and bribery for scoring systems. #R##N#For manipulation, we show that for all scoring rules with a constant number of different coefficients, manipulation is in P. And we conjecture that there is no dichotomy theorem. #R##N#On the other hand, we obtain dichotomy theorems for CCDV and bribery problem. More precisely, we show that both of these problems are easy for 1-approval, 2-approval, 1-veto, 2-veto, 3-veto, generalized 2-veto, and (2,1,...,1,0), and hard in all other cases. These results are the "dual" of the dichotomy theorem for the constructive control by adding voters (CCAV) problem from (Hemaspaandra, Hemaspaandra, Schnoor, AAAI 2014), but do not at all follow from that result. In particular, proving hardness for CCDV is harder than for CCAV since we do not have control over what the controller can delete, and proving easiness for bribery tends to be harder than for control, since bribery can be viewed as control followed by manipulation.

Connected through hyperedge HE-1 (induced by source paper "high multiplicity election problems"):
  with members:
    - "the complexity of succinct elections"
    - "a control dichotomy for pure scoring rules"
    - "polynomiality for bin packing with a constant number of item types"
    - "weighted electoral control"
    - "the complexity of online manipulation of sequential elections"
    - "complexity of and algorithms for borda manipulation"
    - "towards a dichotomy for the possible winner problem in elections based on scoring rules"
    - "the shield that never was societies with single peaked preferences are more open to manipulation and control"

Question: Please tell me which class the center node 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.CC(Computational Complexity)