Probabilistic Inference of Unknown Locations

Abstract

In recent years there has been a proliferation in the use of large-scale, passively collected digital trace data to study the mobility and migration patterns of individuals in developing countries. Analysis of mobile phone and social media data, among other sources, has immediate policy applications that range from disease monitoring and city planning to disaster management and humanitarian relief. Unfortunately, existing methods for mining location-based information from passively collected data are generally not well suited to a large number of individuals in developing countries. This is in part due to the fact that technology use is quite heterogeneous, and that the lower intensity use patterns of many individuals produces a sparser digital trace.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 6 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.