A survey of results on mobile phone datasets analysis
Vincent D. Blondel, Adeline Decuyper, Gautier Krings

TL;DR
This survey reviews recent advances in analyzing mobile phone datasets, covering social networks, mobility, urban planning, and privacy, highlighting the growth of this research area over the past decade.
Contribution
It provides a comprehensive overview of recent research contributions in mobile phone dataset analysis, emphasizing social, mobility, urban, and privacy aspects.
Findings
Mobile phone datasets enable insights into social network structures.
Analysis of mobility patterns informs urban planning.
Privacy concerns are a significant aspect of dataset analysis.
Abstract
In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a stand-alone topic. We will survey the contributions made so far on the social networks that can be constructed with such data, the study of personal mobility, geographical partitioning, urban planning, and help towards development as well as security and privacy issues.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Opportunistic and Delay-Tolerant Networks · Complex Network Analysis Techniques
