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# 统计代写|网络分析代写Network Analysis代考|CSE416a Use Case

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## 统计代写|网络分析代写Network Analysis代考|Use Case

Some interesting case studies based on SNA are Facebook friends’ group and terrorist activities [16]. The case study has been worked in python with Jupyter notebook. You can download and explore the data set to get more insight under the following link.

Scan the QR code and follow the Github link to access the worksheets.

The first important steps in analyzing any kind of data set in python is importing libraries. The data to be analyzed can be scrapped directly from the respective site or it can be accessed from the API provided by the website [17]. Choosing the data mainly depends on the need, i.e., why do we need to analyze the data? What is the purpose? What kind of problem are we solving? [18]
Step 1: Import libraries
Each library has their built-in function, which makes Python easy to code.

Pandas is used to retrieve the data and can be used to explore a huge data set conveniently.

Step 3: Data cleaning
Data cleaning means removing/ cleaning the noise ( $\mathrm{NaN}$, Missing data) [19]. Data quality will have more impact in the model so using the data with less noise is recommended for better results. Missing values can be altered by generating the mean, median value and so on [20-22]. It completely depends upon the type of data.
Step 4: Read input read_edgelist is a built-in function in NetworkX library. More details about it can be found in the documentation website. [23]

## 统计代写|网络分析代写Network Analysis代考|Real-Time Product From SNA

One of the innovative and fancy real-time products out of network analysis is nevaal maps, which is created by nevaal AG, a German company focused mainly on network analysis for business.
Company Vision:
The motive of the company is to “create a front-line solution to visualize information from our social circles.”

It is the SaaS application used in business network analytics. It connects the network (group of people) in the business network together to track them, getting in touch and to make better decision. The capability of it to handle the complex data makes it easier for any start-up to keep their organization in a structured manner.

The three important features about nevaal maps, which makes it more efficient, are as follows: scalable, secure, and customizable. The central mechanism can be adjusted according to individual customer need.
Usage
Visualizing the complex network data helps in

• Screening process and investment decisions.
• Enabling the internal/external process of data.
• Providing interactive and insightful view of the business data.
Significancy
The product is not only focusing on visualizing the network connection but also aids in manifesting communication processes, which is outcome focused.

## 统计代写|网络分析代写Network Analysis代考|Use Case

Pandas 用于检索数据，可以方便地探索庞大的数据集。

## 统计代写|网络分析代写Network Analysis代考|Real-Time Product From SNA

nevaal 地图的三个重要特性使其更高效，如下所示：可扩展、安全和可定制。中央机构可根据个别客户需要进行调整。

• 筛选过程和投资决策。
• 启用数据的内部/外部处理。
• 提供业务数据的交互式和有洞察力的视图。
意义
该产品不仅专注于可视化网络连接，还有助于体现以结果为中心的通信过程。

## 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。