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S-F模型:一个考虑“智者”和“愚人”的异构多Agent信息扩散模型

发布时间:2018-05-30 17:03

  本文选题:信息扩散模型 + 异构 ; 参考:《南京大学》2017年硕士论文


【摘要】:近些年来,随着信息技术的大力发展,个体传播信息和获取信息的能力大幅提升,随之而来的是信息扩散的影响和频率也越来越大,所以对信息扩散进行分析研究以试图控制信息扩散过程具有重大的意义和价值。现有的信息扩散模型可以分为两类:类传染病模型和阈值模型。类传染病模型是一类从经典的SIR传染病模型中类比拓展而来的信息扩散模型,该类模型将传播主体划分成几个状态,并定义状态之间的转化概率。阈值模型又被称为基于决策的模型,在阈值模型中,传播主体会依据其邻居的决策进行权衡比较,最终做出自己的决策。这些年来,在信息扩散的研究中,这两类模型都涌现了大量的、适用于各种各样环境的研究成果。但是,这些已有的模型中存在以下两点不足。第一,很少有研究者考虑到信息扩散中传播主体的多元性,特别是传播主体在行为模式上的多元性。第二,现有的模型中有很多研究谣言传播的模型,但几乎没有针对传言的模型。传言是一种非官方传播的、未能辨别真伪的、在现实中很常见的信息类别,而谣言是确定为假的传言。针对上述问题,本文针对传言,同时考虑了传播主体在行为模式和自身属性上的多元性,提出了一个能够完全展现这两类主体多元性的Agent模型。在行为模式的多元性方面,受到俗语"谣言止于智者"的启发,本文将信息扩散中的传播主体按照行为模式分为两类:"智者"和"愚人"。其中,"智者"只有在认为信息可信且对信息感兴趣时才会传播信息;"愚人"则会忽略信息的可信度,只要对信息感兴趣就会传播信息。此处传播的信息就是传言,不能确定真假,只能交由传播主体自行判断。在主体属性的多元性方面,本文考虑了个体的名声对信息可信度的影响:名声好的个体更容易让人相信其所传播的信息;而名声差的个体往往让人怀疑他所传播的信息。之后,基于能够模拟异构主体("智者"和"愚人")的Agent模型,本文提出了一个异构性多Agent信息扩散模型——S-F模型。接着,本文按照控制变量的方法设计了 6个实验,以探索信息扩散过程中存在的规律。
[Abstract]:In recent years, with the rapid development of information technology, the ability of individuals to disseminate and obtain information has been greatly improved, followed by the increasing impact and frequency of information diffusion. Therefore, it is of great significance and value to analyze and study information diffusion in order to control the process of information diffusion. The existing information diffusion models can be divided into two categories: infectious disease model and threshold model. Infectious disease model is a kind of information diffusion model which is extended by analogy from the classical SIR infectious disease model. This kind of model divides the propagator into several states and defines the transformation probability between the states. The threshold model is also called the decision-based model. In the threshold model, the propagator will make his own decision according to the decision of his neighbor. In recent years, in the research of information diffusion, there have been a large number of research results of these two models, which can be applied to various environments. However, there are two shortcomings in these existing models. First, few researchers consider the diversity of the subject of communication in information diffusion, especially the diversity of the behavior pattern of the subject. Second, there are many existing models to study rumor propagation, but there are few models for rumors. Rumors are an unofficial type of information that fails to identify authenticity and is common in reality, while rumors are confirmed as false. In order to solve the above problems, this paper proposes a Agent model which can fully show the diversity of these two types of agents by considering the multiplicity of the agents in the behavior pattern and their own attributes. In terms of the diversity of behavior patterns, inspired by the saying "rumor ends in the wise man", this paper divides the subject of information diffusion into two categories according to the behavior pattern: "wise man" and "fool". Among them, "wise" will only spread information when it is believed to be credible and interested in information; "fool" will ignore the credibility of information, as long as interested in information will spread information. The information transmitted here is rumors, can not determine the truth and falsehood, can only be judged by the subject itself. In terms of the diversity of subject attributes, this paper considers the influence of an individual's reputation on the credibility of information: a person with good reputation is more likely to believe the information he transmits, while an individual with a poor reputation often makes people doubt the information transmitted by him. Then, based on the Agent model which can simulate the heterogeneous agents ("wise man" and "fool"), this paper proposes a heterogeneous multi-Agent information diffusion model-S-F model. Then, six experiments are designed according to the method of controlling variables to explore the law of information diffusion.
【学位授予单位】:南京大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:G206;TP393.09


本文编号:1956057

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