English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The theme of human mobility is transversal to multiple fields of study andapplications, from ad-hoc networks to smart cities, from transportationplanning to recommendation systems on social networks. Despite the considerableefforts made by a few scientific communities and the relevant results obtainedso far, there are still many issues only partially solved, that ask for generaland quantitative methodologies to be addressed. A prominent aspect ofscientific and practical relevance is how to characterize the mobility behaviorof individuals. In this article, we look at the problem from a location-centricperspective: we investigate methods to extract, classify and quantify thesymbolic locations specified in telco trajectories, and use such measures tofeature user mobility. A major contribution is a novel trajectory summarizationtechnique for the extraction of the locations of interest, i.e. attractive,from symbolic trajectories. The method is built on a density-based trajectorysegmentation technique tailored to telco data, which is proven to be robustagainst noise. To inspect the nature of those locations, we combine the twodimensions of location attractiveness and frequency into a novel locationtaxonomy, which allows for a more accurate classification of the visitedplaces. Another major contribution is the selection of suitable entropy-basedmetrics for the characterization of single trajectories, based on the diversityof the locations of interest. All these components are integrated in aframework utilized for the analysis of 100,000+ telco trajectories. Theexperiments show how the framework manages to dramatically reduce datacomplexity, provide high-quality information on the mobility behavior of peopleand finally succeed in grasping the nature of the locations visited byindividuals.

On Location Relevance and Diversity in Human Mobility Data