分别在GBBV加权网络和实际数据集上研究了2条信息的传播特性。假定2条信息的传播率相同,信息自身的吸引力不同,其中信息1的吸引力高,信息2的吸引力低,通过实验发现:在网络平均度为6~8时最不利于处于低吸引力信息2的传播;当网络平均度小于8时,信息2的传播范围随着网络平均边权值的增大而增加。本文提出几种增加低吸引力信息2的初始传播源提升其传播范围的方法,并对这几种方法的效果进行比较,结果发现在稀疏网络中,按大度节点降序增加初始传播源的方法,效果更加显著,只需增加少量初始传播源就可使信息2的传播范围超过信息1。
Abstract: The propagation characteristics of the two pieces of information are studied respectively on the GBBV weighted network and a real data set. Assuming that the spread rates of the two pieces of information are the same, the attractiveness of the information itself is different from each other, in which the attractiveness of information 1 is relative high, and the attractiveness of information 2 is relative low,study shows that when the average degree of a network is 6 to 8, the spread range of the low attractiveness information 2 is relative small. When the average degree of the network is less than 8,the spread range of the information 2 increases with the increase of the average weight of the network. This paper puts forward several methods to improve the propagation range of information 2 by increasing the number of its initial propagation source, and then compares the results of these methods. It is found that the effect of increasing the initial propagation nodes by descending degree is notable in sparse networks, and the propagation range of information 2 will exceed information 1 by only adding a small amount of initial propagation nodes.