课程大纲
COURSE SYLLABUS
1.
课程代码/名称
Course Code/Title
社交网络模型及应用
Social Network Models and Applications
2.
课程性质
Compulsory/Elective
选修课 Elective Courses
3.
课程学分/学时
Course Credit/Hours
3/64
4.
授课语言
Teaching Language
中英双语 English & Chinese
5.
授课教师
Instructor(s)
胡大宁 HU Daning
6.
先修要求
Pre-requisites
无 No
7.
教学目标
Course Objectives
本课程是一门研究方法课程，主要涵盖以下课题：社交网络数据的获取、处理和挖掘，社交网
络分析，计量经济因果推断方法，以及对计量经济学方法和机器学习的结合等，考察社交网络行为
原理、效应机制及模型，介绍在社交网络作用下正在浮现与发展起来的一些交叉学科领域，讨论社
会、经济和技术领域相互联系的基本网络问题。通过学习，使学生掌握网络的基本概念及原理，并
运用这些原理分析社会与经济中的网络系统特性。该课程为社交网络分析和建模提供了基础，为学
生学习金融科技技术，从事创新金融行业奠定基础。
This course is about research methods. The main topics include data mining, social network
analysis,
causal inference, integration of econometrics and machine learning, the basic concepts and metho
dologies
in network analysis from perspectives of economics, society, computing and information sciences. The
course covers the basic network analysis problems in society, economics, and technology domains. Students
can learn the basic network analysis met
hods, and learn how to use them. The course will equip students the
basic skills in social network analysis and models to pursue further study in the Fintech domain.
8.
教学方法
Teaching Methods
理论课形式主要为课堂讨论研究文章及方法，并辅以研究方法实际操作，共
32
学时理论课和
32 学时实验课。
The lecture is mainly for the discussion of research articles and methods, and the
practical operation of
the research methods is supplemented. There are total 32 hours of lectures and 32 hours of lab courses.
9.
教学内容
Course Contents
理论 Lecture
Section 1
社交网络模型及应用的基础知识介绍
This part introduces the basic concepts in
social network models and
applications.
Section 2
节点级分析：介绍网络度中心性的概念的计算方法