A survey of results on mobile phone datasets analysis

被引：371

作者：

Blondel, Vincent D. ^{[1
]}

Decuyper, Adeline ^{[1
]}

Krings, Gautier ^{[1
,2
]}

机构：

[1] Catholic Univ Louvain, Dept Appl Math, B-1348 Louvain La Neuve, Belgium

[2] Real Impact Analyt, B-1050 Brussels, Belgium

来源：

EPJ DATA SCIENCE | 2015年 / 4卷 / 01期

关键词：

mobile phone datasets; big data analysis; data mining; social networks; temporal networks; geographical networks; HEAVY TAILS; CELL PHONES; NETWORKS; TIME; COMMUNITIES; PATTERNS; MODEL; POPULATIONS; MULTISCALE; GEOGRAPHY;

D O I：

10.1140/epjds/s13688-015-0046-0

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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 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.

引用

页码：1 / 55

页数：55

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