id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_6tznbs2z2jf6rownybxrorcdsu	James R. Watson	Identifying multiscale spatio-temporal patterns in human mobility using manifold learning	2020	17	.pdf	application/pdf	8802	914	57	Nodes are color coded and sized by population density and edges connecting them highlight the density and complexity of human communication and mobility networks. networks are changing over time, and in Senegal there are many large-scale mobility events, relating to different spatio-temporal patterns of human mobility that contrast in overall spatial scale scales and patterns of human mobility, we calculated dominant wavelet functions centered in the scale associated with the dominant wavelet function (centered on Touba) better reveals the punctuated and large-scale mobility events related to religious celebrations (vertical red lines) and Senegal's daily wavelet functions identifies changes in human mobility relating to the dry and wet Figure 4 Main spatio-temporal patterns of human mobility can be identified by averaging the dominant wavelet functions associated with the wavelets) for analyzing CDR human mobility data. Identifying multiscale spatio-temporal patterns in human mobility using manifold learning Identifying multiscale spatio-temporal patterns in human mobility using manifold learning	./cache/work_6tznbs2z2jf6rownybxrorcdsu.pdf	./txt/work_6tznbs2z2jf6rownybxrorcdsu.txt