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 "synergy in the knowledge base of u s innovation systems at national state and regional levels the contributions of high tech manufacturing and knowledge intensive services"):
  Abstract: Synergies among technological opportunities, market perspectives, and geographical endowments can be considered as indicators of systemness. Using information theory, we propose a measure of synergy among size-classes, zip-codes, and NACE-codes for 8.5 million American firms. The synergy at the national level is decomposed at the level of states and Core-Based Statistical Areas (CBSA) as regions. Thereafter, we zoom in to the state of California and in even more detail to Silicon Valley. Our results do not support the assumption of a national system of innovations in the U.S.A. Innovation systems appear to operate at the level of the states, the CBSA regions are too small, so that systemness spills across their borders. Decomposition of the sample in terms of high-tech manufacturing (HTM), medium-high-tech manufacturing (MHTM), knowledge-intensive services (KIS), and high-tech services (HTKIS) does not change this pattern, but refines it. The East Coast--New Jersey, Boston, and New York--and California are the major players, with Texas a third one in the case of HTKIS. At the regional level, Chicago and industrial centers in the Midwest also contribute synergy. Within California, Los Angeles and its environment contribute synergy in the sectors of manufacturing, the San Francisco area in KIS, and Silicon Valley in both, but with synergy mainly generated by manufacturing. Knowledge-intensive services in Silicon Valley spillover to other regions and even globally.

Includes members:
  Member "regions innovation systems and the north south divide in italy":
    also connected through other hyperedges:
      (none)
  Member "a triple helix model of medical innovation supply demand and technological capabilities in terms of medical subject headings":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an analysis of the evolution of science technology linkage in biomedicine")
  Member "measuring triple helix synergy in the russian innovation systems at regional provincial and national levels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "regions innovation systems and the north south divide in italy")
  Member "measuring the knowledge based economy of china in terms of synergy among technological organizational and geographic attributes of firms":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "open innovation and triple helix models of innovation can synergy in innovation systems be measured")
  Member "the swedish system of innovation regional synergies in a knowledge based economy":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "toward a calculus of redundancy the feedback arrow of expectations in knowledge based systems")
  Member "a routine for measuring synergy in university industry government relations mutual information as a triple helix and quadruple helix indicator":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "open innovation and triple helix models of innovation can synergy in innovation systems be measured")
  Member "rotational symmetry and the transformation of innovation systems in a triple helix of university industry government relations":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "toward a calculus of redundancy the feedback arrow of expectations in knowledge based systems")

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.DL(Digital Libraries)