# 计算机代写|复杂网络代写complex network代考|Dynamics on Networks

#### Doug I. Jones

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couryes-lab™ 为您的留学生涯保驾护航 在代写复杂网络complex network方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写复杂网络complex network代写方面经验极为丰富，各种代写复杂网络complex network相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 计算机代写|复杂网络代写complex network代考|Dynamics on Networks

Apart from these topological models mainly concerned with link structure, a large number of researchers are concerned with dynamical processes taking place on networks and the influence the network structure has on them. Among the most widely studied processes is epidemic spreading and one of the most salient results is certainly that by Cohen $[21,22]$, which shows that for scale-free topologies with exponents larger than two and low clustering, the epidemic threshold (the infectiousness a pathogen needs to infect a significant portion of the network) drops to zero. The reason for this is, in principle, the fact that for scale-free degree distributions with exponents between 2 and 3 the average number of second neighbors $\langle d\rangle$ may diverge. Liljeros showed that networks of sexual contacts do have indeed such a topology [23]. At the same time, these results brought about suggestions for new vaccination techniques such as the vaccination of acquaintances of randomly selected people which allows us to vaccinate people with higher numbers of connections with higher efficiency [24]. Consequently, a number of researchers are also studying the interplay between topology of the network and dynamic processes on networks in models that allow dynamic rewiring of connections in accordance with, for instance, games being played on the network to gain insights into the origin of cooperation [25].

All of this research has shown the profound effect of the topology of the connections underlying a dynamical process and hence underlines the importance of thoroughly studying the topology of complex networks.

## 计算机代写|复杂网络代写complex network代考|Patterns of Link Structure

The above discussion has shown the importance of investigating the link structure in real world networks. One can view this problem as a kind of pattern detection. Patterns are generally viewed as expressions of some kind of regularity. What such a regularity may be, however, remains often a vague concept. It might be sensible to define everything as regular which is not random.
The structure this monograph is concerned with is a particular type of non-random structure in complex networks which is closely related to the aforementioned correlations. The section about correlations has shown that if the different types of nodes in a network are known, the link structure of the network may show a particular signature. In the majority of cases, however, the presence of different types of nodes is only hypothesized and the type of each node is unknown. The purpose of this work is to develop methods to detect the presence of different types of nodes in networks and to find the putative type of each node. A number of possible applications from various fields shall motivate the problem again.

Suppose we are given a communication network of an enterprise. Nodes are employees and links represent communication, e.g., via e-mail, between them. We may then search for “communities of practice” – employees who are particularly well connected among each other, i.e., with highly enriched in-group communication. It is then possible to compare these communities of practice to the organizational structure of the enterprise and possibly use the results in the assembly of teams for future projects. A study in this direction has been performed by Tyler et al. [26].

Novel experimental techniques from biology allow the automatic extraction of all proteins produced by an organism. Proteins are the central building blocks of biological function, but generally, proteins do not function alone but bind to one another to form complexes which in turn are capable of performing a particular function, such as initiating the transcription of a particular piece of DNA. It is now possible to study the pairwise binding interactions of a large number of proteins in an automated way [27]. The result of such a study is a protein interaction network in which the links represent pairwise interactions between proteins. Protein function should be mirrored in such a network. For instance, proteins forming part of a complex should now be detectable as densely interlinked groups of nodes in such a network [28]. An analysis of the structure of a protein interaction or other biological network created by automated experiments hence presents a first step in planning future experiments .

# 复杂网络代写

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

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