Scaling identity connects human mobility and social interactions

被引:78
作者
Deville, Pierre [1 ,2 ]
Song, Chaoming [3 ]
Eagle, Nathan [4 ]
Blondel, Vincent D. [1 ]
Barabasi, Albert-Laszlo [2 ,5 ,6 ]
Wang, Dashun [7 ]
机构
[1] Catholic Univ Louvain, Dept Appl Math, B-1348 Louvain La Neuve, Belgium
[2] Northeastern Univ, Dept Phys Biol & Comp Sci, Ctr Complex Network Res, Boston, MA 02115 USA
[3] Univ Miami, Dept Phys, Coral Gables, FL 33142 USA
[4] Northeastern Univ, Coll Comp Sci, Boston, MA 02115 USA
[5] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
[6] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Boston, MA 02115 USA
[7] Penn State Univ, Coll Informat Sci & Technol, University Pk, PA 16802 USA
关键词
human mobility; social interactions; mobile phone data; social networks; spatial networks; NETWORK; PREDICTABILITY; COMPLEX; MODEL;
D O I
10.1073/pnas.1525443113
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Massive datasets that capture human movements and social interactions have catalyzed rapid advances in our quantitative understanding of human behavior during the past years. One important aspect affecting both areas is the critical role space plays. Indeed, growing evidence suggests both our movements and communication patterns are associated with spatial costs that follow reproducible scaling laws, each characterized by its specific critical exponents. Although human mobility and social networks develop concomitantly as two prolific yet largely separated fields, we lack any known relationships between the critical exponents explored by them, despite the fact that they often study the same datasets. Here, by exploiting three different mobile phone datasets that capture simultaneously these two aspects, we discovered a new scaling relationship, mediated by a universal flux distribution, which links the critical exponents characterizing the spatial dependencies in human mobility and social networks. Therefore, the widely studied scaling laws uncovered in these two areas are not independent but connected through a deeper underlying reality.
引用
收藏
页码:7047 / 7052
页数:6
相关论文
共 63 条
[1]   How to search a social network [J].
Adamic, L ;
Adar, E .
SOCIAL NETWORKS, 2005, 27 (03) :187-203
[2]   Search in power-law networks [J].
Adamic, L.A. ;
Lukose, R.M. ;
Puniyani, A.R. ;
Huberman, B.A. .
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2001, 64 (4 II) :461351-461358
[3]  
ANDERSON R M, 1991
[4]  
[Anonymous], 2011, P 17 ACM SIGKDD INT, DOI DOI 10.1145/2020408.2020581
[5]  
[Anonymous], 1996, UCINET IV: Network Analysis Software
[6]  
Reference Manual
[7]  
[Anonymous], TRUST SOCIAL VIRTUES
[8]  
[Anonymous], 2012, ARXIV12100137
[9]  
[Anonymous], 2004, Six degrees: The science of a connected age
[10]   Ebola Virus Disease in West Africa - The First 9 Months of the Epidemic and Forward Projections [J].
Aylward, Bruce ;
Barboza, Philippe ;
Bawo, Luke ;
Bertherat, Eric ;
Bilivogui, Pepe ;
Blake, Isobel ;
Brennan, Rick ;
Briand, Sylvie ;
Chakauya, Jethro Magwati ;
Chitala, Kennedy ;
Conteh, Roland M. ;
Cori, Anne ;
Croisier, Alice ;
Dangou, Jean-Marie ;
Diallo, Boubacar ;
Donnelly, Christl A. ;
Dye, Christopher ;
Eckmanns, Tim ;
Ferguson, Neil M. ;
Formenty, Pierre ;
Fuhrer, Caroline ;
Fukuda, Keiji ;
Garske, Tini ;
Gasasira, Alex ;
Gbanyan, Stephen ;
Graaff, Peter ;
Heleze, Emmanuel ;
Jambai, Amara ;
Jombart, Thibaut ;
Kasolo, Francis ;
Kadiobo, Albert Mbule ;
Keita, Sakoba ;
Kertesz, Daniel ;
Kone, Moussa ;
Lane, Chris ;
Markoff, Jered ;
Massaquoi, Moses ;
Mills, Harriet ;
Mulba, John Mike ;
Musa, Emmanuel ;
Myhre, Joel ;
Nasidi, Abdusalam ;
Nilles, Eric ;
Nouvellet, Pierre ;
Nshimirimana, Deo ;
Nuttall, Isabelle ;
Nyenswah, Tolbert ;
Olu, Olushayo ;
Pendergast, Scott ;
Perea, William .
NEW ENGLAND JOURNAL OF MEDICINE, 2014, 371 (16) :1481-1495