Abstract
AbstractIn this paper we devise a generative random network model with core–periphery properties whose core nodes act as sublinear dominators, that is, if the network has n nodes, the core has size o(n) and dominates the entire network. We show that instances generated by this model exhibit power law degree distributions, and incorporates small-world phenomena. We also fit our model in a variety of real-world networks.
Publisher
Springer Science and Business Media LLC
Reference39 articles.
1. Nemeth, R. J. & Smith, D. A. International trade and world-system structure: A multiple network analysis. Review (Fernand Braudel Center) 8, 517–560 (1985).
2. Wallerstein, I. World-Systems Analysis. Social Theory Today3 (1987).
3. Zhang, X., Martin, T. & Newman, M. E. Identification of core-periphery structure in networks. Phys. Rev. E 91, 032803 (2015).
4. Snyder, D. & Kick, E. L. Structural position in the world system and economic growth, 1955–1970: A multiple-network analysis of transnational interactions. Am. J. Sociol. 84, 1096–1126 (1979).
5. Krugman, P. Increasing returns and economic geography. J. Polit. Econ. 99, 483–499 (1991).
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Local clustering coefficient-based iterative peeling strategy to extract the core and peripheral layers of a network;Applied Network Science;2024-08-27
2. Core-periphery Models for Hypergraphs;Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2022-08-14
3. Core-periphery Partitioning and Quantum Annealing;Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2022-08-14