Social and Economic Networks: Models and Analysis
开始时间: 04/22/2022
持续时间: 9 weeks
课程主页: https://www.coursera.org/course/networksonline
课程评论: 3 个评论
评论课程
关注课程
课程简介
Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.
课程大纲
- Week 1: Introduction, Empirical Background and Definitions
Examples of Social Networks and their Impact, Definitions, Measures and Properties: Degrees, Diameters, Small Worlds, Weak and Strong Ties, Degree Distributions
- Week 2: Background, Definitions, and Measures Continued
Homophily, Dynamics, Centrality Measures: Degree, Betweenness, Closeness, Eigenvector, and Katz-Bonacich. Erdos and Renyi Random Networks: Thresholds and Phase Transitions,
Poisson Random Networks, Exponential Random Graph Models, Growing Random Networks, Preferential Attachment and Power Laws, Hybrid models of Network Formation
- Week 4: Strategic Network Formation
Game Theoretic Modeling of Network Formation, The Connections Model, The Conflict between Incentives and Efficiency, Dynamics, Directed Networks, Hybrid Models of Choice and Chance
- Week 5: Diffusion on Networks.
Empirical Background, The Bass Model, Random Network Models of Contagion, The SIS model, Fitting a Simulated Model to Data
- Week 6: Learning on Networks.
Bayesian Learning on Networks, The DeGroot Model of Learning on a Network, Convergence of Beliefs, The Wisdom of Crowds, How Influence depends on Network Position.
- Week 7: Games on Networks.
Network Games, Peer Influences: Strategic Complements and Substitutes, the Relation between Network Structure and Behavior, A Linear Quadratic Game, Repeated Interactions and Network Structures.
课程评论(3条)
0
|
都柏林的老菲利普
2014-02-01 12:27
0 票支持; 0 票反对
讲了不少social sciences方面network analysis的方法,还是挺有启发性的。
如果想学计算机方面的图论方面的应用,可以看看Luca Trevesan的那门expander graph
|
0
|
MarTierra
2013-08-13 03:57
0 票支持; 0 票反对
作业难度略低。对实际操作可能没什么帮助,收获在于建立了network thinking。教这课的教授是个大牛,他还开了game theory的课。不知道Michigan那个network analysis怎么样。
|
0
|
呵公要当攻城狮
2013-05-14 16:45
0 票支持; 0 票反对
课程内容还算有趣,但是比较针对研究,实用性不强,会介绍一些Social Network的基本概念,比较偏向经济理论,作业也比较水。我还在学部分原因是已经付出了5个礼拜的沉默成本。。。
|