引文网络演化的超图方法
Evolution of citation networks with the hypergraph formalism
摘要：
本文提出了一个基于超图的引文网络演化模型。在演化模型中，我们考虑了优先连接和年龄影响相结合的机制。仿真结果表明，该模型能够很好地描述真实系统的引文分布。此外，我们给出了利用主方程的引文分布的分析结果。详细分析表明，时间衰减因子应该是该模型与实证结果相同的引文分布的根源。该模型可能有助于理解控制真实引文网络结构的基本规律。
英文摘要：
In this paper, we proposed an evolving model via the hypergraph to illustrate the evolution of the citation network. In the evolving model, we consider the mechanism combined with preferential attachment and the aging influence. Simulation results show that the proposed model can characterize the citation distribution of the real system very well. In addition, we give the analytical result of the citation distribution using the master equation. Detailed analysis showed that the time decay factor should be the origin of the same citation distribution between the proposed model and the empirical result. The proposed model might shed some lights in understanding the underlying laws governing the structure of real citation networks.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
