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 open source sensor platform for analysis of group dynamics"
  Abstract: The collaboration of several people in groups is becoming more and more important nowadays. Teamwork is often used for decision-making processes and for solving complex problems. Research in this area focuses on the quantification and analysis of behavior within and between groups. By using wearable electronic devices, such as badges, this quantification can be performed automatically and with high accuracy. The goal of this work is the design and implementation of a new firmware for the badges of the Rhythm project - an open-source project of the Human Dynamics Group of the MIT Media Lab. The firmware is characterized by a modular and extensible architecture and combines different techniques. These include a filesystem, which efficiently stores sequentially generated data based on a virtual memory abstraction, a serialization library, which enables a platform-independent exchange of structured data, and a time synchronization technique, which compensates frequency deviations of the oscillator. In addition, an automated test environment was designed for the verification of individual functional software components of the application. As a result of detailed analysis and special measures, the power consumption could be significantly reduced compared to the previous implementation. Due to the hierarchical and modular structure and the high degree of abstraction, the developed techniques can also be integrated into other projects and platforms.

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.DC(Distributed, Parallel, and Cluster Computing)