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【学术预告】Human Dynamics: Mobility and Diffusion over Spatial Social Network
2018-06-07  

报告题目:Human Dynamics: Mobility and Diffusion over Spatial Social Network

主 讲 人: 叶信岳 教授

报告时间:2018年6月8日-10日  9:00——11:30  15:00——17:30

报告地点:明伦校区新行政楼308会议室

主办单位:黄河文明与可持续发展研究中心

欢迎光临!

Course Description

Human being is always curious about how things are related in the world. Network Modeling is one of the prevalence and breakthrough technologies that trying to unravel the mystery of connectivity of the world. Nowadays, geographers are using social network with Geographic Information Science (GIS) to explore and analyze relationships among spatial objects. In the meantime, more and more virtual networks, such as facebook and twitter, have spatial characteristics which bring researchers opportunity to study spatial pattern of virtual network elements such as information diffusion and human behavior across space. This course will focus on theoretical and substantive themes within social network analysis and spatial network. Basic knowledge of network elements as well as tools for social media network analysis and visualization will be covered in this course followed by several case studies. In addition, visualization and analysis of spatial network will be discussed for those virtual network having geographic characteristics.

  COURSE PREREQUISITE

  There is no prerequisite to attend this class, although there will be some mathematical equations involved but most of them will be very easy to understand. Students from different fields are welcome to this course. .

  STUDENT LEARNING OUTCOMES

  Upon completion of this course, students will be able to:

1. Know the major theoretical ideas supporting network research.

2. Analyze and interpret spatial social network data.

3. Collect network data and create their own networks.

4. Simulate diffusion over spatial networks.

  

Lecture

Topic

1

Human Dynamics in the Mobile Age: Inequality, Mobility and Diffusion

2

Methodological Framework: Space, Time, Distribution, Network, and Semantics

3

Open Source Space-Time and Network Analysis

4

Online Urban Mobility Visual Analytics

5

Urban Mobility in the ARCGIS Environment

6

Information Diffusion and Simulation over Space

7

Human Dynamics in the Data Challenged Environment: New Practice

8

Human Dynamics and Big Data: Data Fusion and Machine Learning

 


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