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Computational Model of Association Activity Measure and Its Algorithmic Implementation

机译:联想活动测度计算模型及其算法实现

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To characterize one kind of association relation of different objects in a complex system, a computational model of association activity measure among different objects is presented after defined some concepts. To implement the computational model, a simple computational algorithm of association activity measure is introduced. After designed some appropriate data structures, an improved computational algorithm is presented by using the strategy of spending more space to decrease time cost. Through the simulations of one kind of artificial hypergraph with several pairs of parameters, we can verify that the two algorithms are equivalent and the improved algorithm holds some validity with less time cost. In the end, a research expectation is given to disinter and popularize the computational model and its algorithms.
机译:为了表征复杂系统中不同对象之间的一种关联关系,定义了一些概念后,给出了不同对象之间的关联活动度量的计算模型。为了实现该计算模型,介绍了一种简单的联想活动测度计算算法。在设计了一些合适的数据结构之后,通过使用更多空间以减少时间成本的策略,提出了一种改进的计算算法。通过对具有几对参数的一种人工超图的仿真,我们可以证明这两种算法是等效的,并且改进后的算法具有一定的有效性,且时间成本较低。最后,给出了一个研究期望,以期对计算模型及其算法进行分解和推广。

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