Estimating Individual Behaviour for Massive Social Data

Malleson, Nicholas and Birkin, Mark (2013) Estimating Individual Behaviour for Massive Social Data. In: Geosimulation: Modeling Social Phenomena in Spatial Context. LIT Verlag, pp. 23-29. ISBN 978-3-643-90345-7

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Abstract

This chapter presents the most recent developments in an on-going programme of work towards a realistic agent-based model of urban dynamics. The focus of the chapter is on the development of a framework for calibrating an agent-based model of urban dynamics using novel data from the Twitter social media service. In particular, we discuss initial attempts to elucidate information about peoples' daily spatio-temporal behaviour and how such insight can be used for the bene�t of agent-based models. The ultimate aim of the modelling work is to better understand the spatio- temporal movement patterns within the city.

Item Type:Book Section
Subjects:5. Quantitative Data Handling and Data Analysis > 5.9 Spatial Data Analysis
ID Code:3129
Deposited By: TALIS User
Deposited On:25 Jun 2013 10:04
Last Modified:25 Jun 2013 10:04

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