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一门崭新的交叉科学:网络科学(上) 总被引:28,自引:0,他引:28
本文试图比较系统地概括和评述正在兴起的一门崭新的交叉科学—网络科学,内容涉及网络科学的发展简史,基本概念,网络分类,主要理论模型及其特性,目前国内外该领域的若干重要课题的研究进展概况。全文结构分为:序言,主体部分共12章,最后是结束语,分别概述和涵盖网络科学的主要课题的研究成果和近年的进展,特别是着重介绍和总结了我们"一院二校"(原子能科研院、上海交大和北京师大)国家自然科学基金重点项目联合研究组开展的复杂网络研究所取得的若干成果和进展。分两期发表,下篇请见《物理学进展》27卷4期。 相似文献
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分析新节点边对网络无标度性的影响.虽然亚线性增长网络瞬态平均度分布尾部表现出了幂律分布性质,但是,这个网络的稳态度分布并不是幂律分布,由此可见,计算机模拟预测不出网络稳态度分布,它只能预测网络的瞬态度分布.进而建立随机增长网络模型,利用随机过程理论得到了这个模型的度分布的解析表达式,结果表明这个网络是无标度网络. 相似文献
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LIN Min WANG Gang CHEN Tian-Lun 《理论物理通讯》2006,46(2):362-366
A simple model for a set of interacting idealized neurons in scale-free networks is introduced. The basic elements of the model are endowed with the main features of a neuron function. We find that our model displays powerlaw behavior of avalanche sizes and generates long-range temporal correlation. More importantly, we find different dynamical behavior for nodes with different connectivity in the scale-free networks. 相似文献
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LI Ke-Ping 《理论物理通讯》2006,46(2):374-380
In this work, we propose a new model of evolution networks, which is based on the evolution of the traffic flow. In our method, the network growth does not take into account preferential attachment, and the attachment of new node is independent of the degree of nodes. Our aim is that employing the theory of evolution network, we give a further understanding about the dynamical evolution of the traffic flow. We investigate the probability distributions and scaling properties of the proposed model The simulation results indicate that in the proposed model, the distribution of the output connections can be well described by scale-free distribution. Moreover, the distribution of the connections is largely related to the traffic flow states, such as the exponential distribution (i.e., the scale-free distribution) and random distribution etc. 相似文献
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在复杂网络研究中,人们需要建立网络模型,无标度图就是这样的一种网络模型.我们发现具有完全图核心的网络模型可以演变成无标度图.具有完全图核心的几种网络模型的优美性得到研究. 相似文献
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In a scale-free network,only a minority of nodes are connected very often,while the majority of nodes are connected rarely. However,what is the ratio of minority nodes to majority nodes resulting from the Matthew effect In this paper,based on a simple preferential random model,the poor-rich demarcation points are found to vary in a limited range,and form a poor-rich demarcation interval that approximates to k/m ∈ [3,4]. As a result,the (cumulative) degree distribution of a scale-free network can be divided into three intervals: the poor interval,the demarcation interval and the rich interval. The inequality of the degree distribution in each interval is measured. Finally,the Matthew effect is applied to the ABC analysis of project management. 相似文献
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An opinion evolution model without “bounded confidence” is proposed in this paper. Computer simulation shows that our model
can figure out the breakage of the coexistence of majority and minority after a period’s evolution. With further analysis,
our model shows that, without the influence of the external field, the opinions will finally die out to a limited small value
no matter what the initial condition of the system is. On the other hand, we simulate the evolution of the opinions under
the influence of an external field, and get some meaningful and instructional results. 相似文献