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所在平台: Udemy |
课程主页: https://www.udemy.com/course/socialnetwork/
课程评论：没有评论
课程名称：社交网络分析入门 课程概述：在本课程中，您将学习社交网络分析（SNA）的基本知识，了解这一独特视角的本质及其主要概念。课程将提供基础社交网络研究的执行摘要（会不断更新），帮助您开始文献工作。具体学习内容包括： - 理解社交网络分析所需的基本概念。 - 设置自己的网络研究或理解其他社交网络研究的相关知识。 - 常用的关系数据收集策略。 - 网络数据分析方法。 - 存在的社交网络数据收集或分析软件包。 - 社交网络研究领域的重要文献。 - 如何利用SNA技术反思个人生活与职业发展。 课程包含大量练习，旨在巩固学习效果。 授课教师：Dominik E. Froehlich，是一名活跃的社交网络研究者，专注于学习与指导领域的网络研究，偶尔涉及组织与管理等其它领域。他在此领域有较高的学术发表量，并因其在线教学获得过多项奖项，承诺为学员提供良好的学习体验，并随时欢迎提出问题和建议。 课程对象：本课程专为各级研究者（包括学生）设计，对组织顾问和管理者也有帮助，以便理解工作通常是如何以非正式方式组织的。 学习内容包括： - 社交网络分析为何受到关注及其潜在价值。 - 社交网络分析的独特视角及定义社交网络的方式。 - 节点（也称为顶点或参与者）和边（也称为联系或关系）的定义与分类。 - 社交网络分析中的社会中心网络和自我中心网络的区别。 - 运用社交网络分析可以回答的研究问题。 - 收集定量网络数据的伦理考量及存储格式。 - 使用Gephi和Vennmaker软件进行网络可视化和数据收集的实用指南。 如需更多信息，可以查看课程预览视频、课程大纲或学习清单，并在30天内无条件申请退款。
In this course, you will learn everything you need to get started with doing social network analysis (SNA). Taking this course will be the fastest way for you to learn about the nature of this unique perspective and to understand its major concepts. Additionally, I will provide executive summaries of foundational social network studies (which will be continously updated) to get you started with your literature work.Specifically, you will learn.- …about the basic concepts that we have to understand to do and read about social network analysis.- …about everything you need to set up your own network study (or to understand the setup of another social network study).- …about common strategies to collect relational data.- …how to analyse network data.- …what software packages exist that may help you with social network data collection or data analysis.- …about influential texts in the field of social network research.-.how you can use the techniques of SNA to reflect about your own life and career.There are plenty of exercises included in this course to help you solidify your learning.Who will be your instructor?My name is Dominik E. Froehlich and I am an active researcher of social networks for quite a few years now. I mostly study networks in the domain of learning and instruction, but occasionally I ventured to other fields, such as organization and management. I'm well published in this field in terms of academic articles, I'm editing a book about social network analysis with a well-known publisher, and my work on social networks has won international academic awards. Speaking of awards: I also won awards for my (online) teaching - so hopefully this translates into a great learning experience for you. I'm always available for questions and suggestions for further lections in the course in order to make the course even more relevant to you! Is this course right for you?While this course is explicitly targeted at researchers at any level (including students, of course!), organizational consultants and managers may find the course useful to understand the basics of how work is often organized in an informal way.Need even more information?Need more information? Check out the preview videos, the curriculum, or this list of learnings.and don't forget that you can get a refund within 30 days, no questions asked.You will learn...- …why social network analysis is receiving so much interest these days--and why it will pay off for you to learn about it.- …about the general perspective that social network analysis takes and how this perspective is different or novel. - …about how we can define the nature of social networks.- …about a central concept of social network analysis: nodes, which are also called vertices or actors.- …about modes and the disctinction between one-mode networks and two-mode networks.- …about another important concept of social network analysis: egdes, which are also called ties or arcs or relationships.- …about how you may classify differnt types of networks.- …how networks are made up by vertices and edges.- …about the difference between sociocentric and egocentric networks in social network analysis.- …about what types of research questions are possible to answer using social network analysis.- …about the different units of analysis that you may investigate using social network analysis.- …about the boundary specification problem; a very important challenge in any social network study.- …about theorizing within social network studies.- …about the key features of social capital theory.- …about the key features of cognitive social structures.- …about the key features of balance theory.- …about the key features of homophily.- …about the quality of relational data that we need for social network analysis.- …about the specificities of collecting quantitative network data via a survey.- …that ethical considerations are especially important when conducting social network analysis.- …about two major ways of storing quantitative network data: the matrix format and the edgelist format.- …how to present quantitative data in different formats (edgelist, matrix, and the visual representation) and how to prepare your data accordingly.- …about nodal degree, a very basic put important centrality metric frequently used in social network analysis.- …about betweenness, an often used metric for centrality or brokerage in networks.- …about closeness, an indicator for distance between one node and the rest of the network.- …where to download the open source software Gephi, which we will use for network visualization.- …how to navigate in Gephi.- …to calculate key metrics of social network analysis in Gephi.- …about how to apply layouting algorithms in Gephi.- …how to change the appearance of your network graph based on previously calculated metrics. - …where to download the software Vennmaker, which we will use for network data collection.- …how to navigate in VennMaker and how this software may help you in collection relational data.-...and more...
