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Space-Time Analysis

Author: Dr. Li An

In this project, we propose to use space-time analysis to visualize and analyze multiple dimensions in the spread of ideas through tracking texts posted on the Internet and the Web pages. Traditional spatial analysis has focused on delineation and characterization of spatial heterogeneity, lacking a robust temporal dimension. On the other hand, traditional time series analysis usually lacks a strong component for spatial variability. This separation of time and space may hinder the discovery and understanding of the true mechanisms and relationships behind information. We will perform space-time analyses to quantify the timing, location, and frequency of various concept clusters and explore the causes behind the spread of ideas among specific groups of people. Specifically, we will first extend a few metrics (including those from other disciplines such as landscape ecology) to measure spatial patterns at discrete times or space-time trajectories (e.g., LISA time paths). Second, we will use “hazard” to depict and quantify the risk of an area being dominated or substantially influenced by certain ideas (credit anli). Last, we will employ survival analysis (or hazard analysis, event history analysis, etc.) to link hazards with a set of independent variables, exploring what factors may affect the spread of ideas over space and time.

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