|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/social-network-analysis
课程评论：没有评论
课程名称：社交网络分析 概述：本课程旨在将社交网络这一社会核心现象科学化。人类本质上是网络科学家，在与朋友、家人，以及同事和组织关系交互时，我们无意识中计算着新的网络构型。虽然这种网络结构自古以来就存在，但计算社会科学的发展使我们可以更系统地揭示和研究它们。课程的第一部分重点关注网络结构，探讨网络的静态快照，这些快照可以揭示社会系统的重要方面。在实践实验室中，学员将使用软件可视化和分析网络，深入理解社交网络的复杂性。课程的第二部分则探讨网络随时间的演变，提出如何预测网络形成的类型，以及如何影响网络动态的问题。 课程大纲： 1. **入门与网络形式化** - 介绍网络概念，定义网络，并探讨数据在网络中的转化与分析。讨论如何形式化网络。 2. **社交网络分析** - 讨论网络结构，解释个人如何成为网络中心。发现网络语言的多样性，并识别三种网络测量类型。 3. **使用软件分析网络** - 开始社交网络分析实验室活动，进行数据库数据处理和网络可视化。分析社交网络，并通过案例研究检验其他社交网络分析。 4. **网络演化** - 识别不同类型的社交网络，讨论生成这些网络的机制，并解释网络如何从静态转变为动态。 5. **网络增长与预测** - 检查网络的理论预测，计算基本数学问题，讨论如何提高网络的效率和稳定性。 该课程将为学员提供对社交网络的深刻理解和实用技能，帮助他们在日常生活和专业领域中有效应用社交网络分析。
Name:Getting Started and Formalizing Networks
Description:In this module, you will be introduced to the concept of networks. You will be able to define networks and identify how data is transformed and analyzed in a network. You will able be able to discuss how to formalize networks.
Name:Social Network Analysis
Description:In this module, you will be able to discuss the structure of networks and be able to explain how a person can be the center of one. You will be able to discover the different types of language that networks use and be able to identify the three types of network measurements.
Name:Analyzing a Network with Software
Description:In this module, you will begin with a social network analysis lab activity. You will be able to do data wrangling of databases and visualize a network. You will be able to analyze a social network and also be able to examine other social network analysis through case studies.
Name:Network Evolution
Description:In this module, you will be able to identify the different types of social networks. You will be able to discuss what mechanisms generates these different types of networks and you will be able to explain how networks move from being static to dynamic.
Name:Growing Networks and Making Predictions
Description:In this module, you will be able to examine theoretical predictions of networks. You will be able to calculate basic math problems and be able to discuss how to make networks more efficient and stable.
This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of social networks), about colleagues and organizational relations (other, overlapping network structures), and about how to navigate delicate or opportunistic network configurations to save guard or advance in our social standing (with society being one big social network itself). While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure. This looks as static snapshots of networks, which can be intricate and reveal important aspects of social systems. In our hands-on lab, you will also visualize and analyze a network with a software yourself, which will help to appreciate the complexity social networks can take on. During the second part of the course, we will look at how networks evolve in time. We ask how we can predict what kind of network will form and if and how we could influence network dynamics.
