Scaling identity connects human mobility and social interactions

被引:74
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 50 条
[21]   Predicting human mobility through the assimilation of social media traces into mobility models [J].
Mariano G Beiró ;
André Panisson ;
Michele Tizzoni ;
Ciro Cattuto .
EPJ Data Science, 5
[22]   Digital engagement in social media: the new fabric of culture and social interactions [J].
Barreto, Adriana Maritza Rivera .
QUAESTIONES DISPUTATAE, 2023, 16 (32) :166-182
[23]   Residential mobility, self-concept, and positive affect in social interactions [J].
Oishi, Shigehiro ;
Lun, Janetta ;
Sherman, Gary D. .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 2007, 93 (01) :131-141
[24]   An Ad Hoc Mobility Model Based on Realistic Human Interactions [J].
Ren, He ;
Wang, Qinlong .
2014 IEEE CONFERENCE ON WIRELESS SENSORS (ICWISE), 2014, :13-17
[25]   Social interactions model and adaptability of human behavior [J].
Zhao, Kun ;
Bianconi, Ginestra .
FRONTIERS IN PHYSIOLOGY, 2011, 2
[26]   Human mobility and socioeconomic status: Analysis of Singapore and Boston [J].
Xu, Yang ;
Belyi, Alexander ;
Bojic, Iva ;
Ratti, Carlo .
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2018, 72 :51-67
[27]   The scales of human mobility [J].
Alessandretti, Laura ;
Aslak, Ulf ;
Lehmann, Sune .
NATURE, 2020, 587 (7834) :402-+
[28]   Unlocking social network analysis methods for studying human mobility [J].
Wiedemann, Nina ;
Martin, Henry ;
Raubal, Martin .
25TH AGILE CONFERENCE ON GEOGRAPHIC INFORMATION SCIENCE ARTIFICIAL INTELLIGENCE IN THE SERVICE OF GEOSPATIAL TECHNOLOGIES, 2022, 3
[29]   The impact of social segregation on human mobility in developing and industrialized regions [J].
Alexander Amini ;
Kevin Kung ;
Chaogui Kang ;
Stanislav Sobolevsky ;
Carlo Ratti .
EPJ Data Science, 3
[30]   The impact of social segregation on human mobility in developing and industrialized regions [J].
Amini, Alexander ;
Kung, Kevin ;
Kang, Chaogui ;
Sobolevsky, Stanislav ;
Ratti, Carlo .
EPJ DATA SCIENCE, 2014, 3 (01) :1-20