基于活跃度和休眠度的引文网络建模
Modeling citation networks based on vigorousness and dormancy
摘要：
在引文网络中，论文的活跃度通常会随着时间的推移而降低，休眠论文可能会被发现并重新流行起来。为了模拟这种现象，提出了一种竞争机制，该机制包含两个因素：活力和休眠。基于这一思想，本文提出了一个引文网络模型，其中一个节点具有两个离散的阶段：活跃和休眠。活跃节点可以被去激活，休眠节点可以被激活并变得活跃。网络的演化耦合了新节点的添加和旧节点的状态转换。分析计算和数值模拟表明，生成的网络节点的度分布具有良好的右偏性。特别地，当目标选择去活顶点时，得到了无标度网络，而随机选择的情况下，得到了指数网络。此外，四个现实世界的引文网络的测量实现了很好的协议与随机模型。
英文摘要：
In citation networks, the activity of papers usually decreases with age and dormant papers may be discovered and become fashionable again. To model this phenomenon, a competition mechanism is suggested which incorporates two factors: vigorousness and dormancy. Based on this idea, a citation network model is proposed, in which a node has two discrete stage: vigorous and dormant. Vigorous nodes can be deactivated and dormant nodes may be activated and become vigorous. The evolution of the network couples addition of new nodes and state transitions of old ones. Both analytical calculation and numerical simulation show that the degree distribution of nodes in generated networks displays a good right-skewed behavior. Particularly, scale-free networks are obtained as the deactivated vertex is target selected and exponential networks are realized for the random-selected case. Moreover, the measurement of four real-world citation networks achieves a good agreement with the stochastic model.
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。
