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Identifying Important Places in People’s Lives from Cellular Network Data · Study

WorkIdentifying Important Places in People’s Lives from Cellular Network Data

Sibren Isaacman2011

Work2011

Identifying Important Places in People’s Lives from Cellular Network Data

Sibren Isaacman · Ramón Cáceres · Stephen Kobourov · Margaret Martonosi · James R. Rowland

401 citations·0/0 files stored·Lecture notes in computer science

No readable copy stored yet — this record is metadata only.

Human Mobility and Location-Based Analysis Privacy-Preserving Technologies in Data Data Management and Algorithms

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 401 citations exist upstream.

References

2008Understanding individual human mobility patterns 2010Limits of Predictability in Human Mobility 2003Using GPS to learn significant locations and predict movement across multiple users 2009PEIR, the personal environmental impact report, as a platform for participatory sensing systems research

Cited by

2012The Mobile Data Challenge: Big Data for Mobile Computing Research 2014Measuring Large-Scale Social Networks with High Resolution 2014Urban Sensing Using Mobile Phone Network Data: A Survey of Research 2013Human mobility characterization from cellular network data 2012Human mobility modeling at metropolitan scales 2015Analysis of human mobility patterns from GPS trajectories and contextual information 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing 2017On data processing required to derive mobility patterns from passively-generated mobile phone data

Details

Year2011

Typeother

Published2011-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations401

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

Identifiers

doi10.1007/978-3-642-21726-5_9

openalex_workW1809720746

Links

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