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: "an experimental study of dynamic dominators"
  Abstract: Motivated by recent applications of dominator computations, we consider the problem of dynamically maintaining the dominators of flow graphs through a sequence of insertions and deletions of edges. Our main theoretical contribution is a simple incremental algorithm that maintains the dominator tree of a flow graph with $n$ vertices through a sequence of $k$ edge insertions in $O(m\min\{n,k\}+kn)$ time, where $m$ is the total number of edges after all insertions. Moreover, we can test in constant time if a vertex $u$ dominates a vertex $v$, for any pair of query vertices $u$ and $v$. Next, we present a new decremental algorithm to update a dominator tree through a sequence of edge deletions. Although our new decremental algorithm is not asymptotically faster than repeated applications of a static algorithm, i.e., it runs in $O(mk)$ time for $k$ edge deletions, it performs well in practice. By combining our new incremental and decremental algorithms we obtain a fully dynamic algorithm that maintains the dominator tree through intermixed sequence of insertions and deletions of edges. Finally, we present efficient implementations of our new algorithms as well as of existing algorithms, and conduct an extensive experimental study on real-world graphs taken from a variety of application areas.

Connected through hyperedge HE-1 (induced by source paper "incremental strong connectivity and 2 connectivity in directed graphs"):
  with members:
    - "decremental data structures for connectivity and dominators in directed graphs"
    - "incremental 2 edge connectivity in directed graphs"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "prime factorization of the kirchhoff polynomial compact enumeration of arborescences"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"

Connected through hyperedge HE-2 (induced by source paper "on low high orders of directed graphs incremental algorithms and applications"):
  with members:
    - "incremental 2 edge connectivity in directed graphs"
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"
    - "a new approach to incremental cycle detection and related problems"

Connected through hyperedge HE-3 (induced by source paper "incremental 2 edge connectivity in directed graphs"):
  with members:
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"
    - "a new approach to incremental cycle detection and related problems"
    - "incremental cycle detection topological ordering and strong component maintenance"

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.DS(Data Structures and Algorithms)