Sequences of purchases in credit card data reveal lifestyles in urban populations
暂无分享,去创建一个
Marta C. González | Sharon Xu | Riccardo Di Clemente | Marta C González | Bapu Vaitla | Matias Travizano | Riccardo Di Clemente | Miguel Luengo-Oroz | M. Travizano | B. Vaitla | Miguel Luengo-Oroz | Sharon Xu | Miguel A. Luengo-Oroz | M. Luengo-Oroz
[1] Dino Pedreschi,et al. The retail market as a complex system , 2014, EPJ Data Science.
[2] Alex Pentland,et al. The predictability of consumer visitation patterns , 2010, Scientific Reports.
[3] R. Rosenfeld. Nature , 2009, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.
[4] Zbigniew Smoreda,et al. Using big data to study the link between human mobility and socio-economic development , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[5] Stephen E. Robertson,et al. Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..
[6] A. Pentland,et al. Life in the network: The coming age of computational social science: Science , 2009 .
[7] Jim Giles,et al. Computational social science: Making the links , 2012, Nature.
[8] Jianhua Lin,et al. Divergence measures based on the Shannon entropy , 1991, IEEE Trans. Inf. Theory.
[9] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[10] Marc Barthelemy,et al. Influence of sociodemographic characteristics on human mobility [corrected]. , 2015 .
[11] Siddharth Gupta,et al. The TimeGeo modeling framework for urban mobility without travel surveys , 2016, Proceedings of the National Academy of Sciences.
[12] Albert-László Barabási,et al. Understanding individual human mobility patterns , 2008, Nature.
[13] M. Barthelemy,et al. From mobile phone data to the spatial structure of cities , 2014, Scientific Reports.
[14] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[15] Christian Staudt,et al. Engineering Parallel Algorithms for Community Detection in Massive Networks , 2013, IEEE Transactions on Parallel and Distributed Systems.
[16] Ana L. N. Fred,et al. Robust data clustering , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[17] Gabriel Cadamuro,et al. Predicting poverty and wealth from mobile phone metadata , 2015, Science.
[18] Dietmar Bauer,et al. Inferring land use from mobile phone activity , 2012, UrbComp '12.
[19] Leon Danon,et al. Comparing community structure identification , 2005, cond-mat/0505245.
[20] Alessandro Vespignani. Modelling dynamical processes in complex socio-technical systems , 2011, Nature Physics.
[21] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[22] S. Piantadosi. Zipf’s word frequency law in natural language: A critical review and future directions , 2014, Psychonomic Bulletin & Review.
[23] M. Newman,et al. Finding community structure in networks using the eigenvectors of matrices. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[24] J. Mervis. U.S. science policy. Agencies rally to tackle big data. , 2012, Science.
[25] Albert-László Barabási,et al. A Dynamic Network Approach for the Study of Human Phenotypes , 2009, PLoS Comput. Biol..
[26] Albert-László Barabási,et al. Limits of Predictability in Human Mobility , 2010, Science.
[27] Søren Brunak,et al. Using Electronic Patient Records to Discover Disease Correlations and Stratify Patient Cohorts , 2011, PLoS Comput. Biol..
[28] Dino Pedreschi,et al. Returners and explorers dichotomy in human mobility , 2015, Nature Communications.
[29] Alex Pentland,et al. The data-driven society. , 2013, Scientific American.
[30] J. Burgon. Making the links. , 2002, Nursing standard (Royal College of Nursing (Great Britain) : 1987).
[31] A. Cavallo. Scraped Data and Sticky Prices , 2015, Review of Economics and Statistics.
[32] M. R. Solomon. Consumer Behavior: Buying, Having, and Being , 1993 .
[33] S. Kobrin,et al. Community Careers in Crime , 1986, Crime and Justice.
[34] A. Baselga. The relationship between species replacement, dissimilarity derived from nestedness, and nestedness , 2012 .
[35] Dietmar Plenz,et al. powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions , 2013, PloS one.
[36] Vincent D. Blondel,et al. A survey of results on mobile phone datasets analysis , 2015, EPJ Data Science.
[37] Matthieu Latapy,et al. Computing Communities in Large Networks Using Random Walks , 2004, J. Graph Algorithms Appl..
[38] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[39] Xuelong Li,et al. Refined-Graph Regularization-Based Nonnegative Matrix Factorization , 2017, ACM Trans. Intell. Syst. Technol..
[40] N. Eagle,et al. Network Diversity and Economic Development , 2010, Science.
[41] Carlo Ratti,et al. Cities through the Prism of People’s Spending Behavior , 2015, PloS one.
[42] Ralf Krestel,et al. Latent dirichlet allocation for tag recommendation , 2009, RecSys '09.
[43] Xiaowen Dong,et al. Social Bridges in Urban Purchase Behavior , 2017, ACM Trans. Intell. Syst. Technol..
[44] Burcin Bozkaya,et al. Money Walks: Implicit Mobility Behavior and Financial Well-Being , 2015, PloS one.
[45] L. Christophorou. Science , 2018, Emerging Dynamics: Science, Energy, Society and Values.
[46] S. Shen-Orr,et al. Network motifs: simple building blocks of complex networks. , 2002, Science.
[47] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[48] Marta C. González,et al. Coupling human mobility and social ties , 2015, Journal of The Royal Society Interface.
[49] Ian H. Witten,et al. Identifying Hierarchical Structure in Sequences: A linear-time algorithm , 1997, J. Artif. Intell. Res..
[50] George Loizou,et al. Computer vision and pattern recognition , 2007, Int. J. Comput. Math..
[51] Lars Schmidt-Thieme,et al. Proceedings of the third ACM conference on Recommender systems , 2008, RecSys 2008.
[52] Marta C. González,et al. Understanding congested travel in urban areas , 2016, Nature Communications.
[53] Josep Blat,et al. Urban association rules: Uncovering linked trips for shopping behavior , 2016, ArXiv.
[54] A. Pentland,et al. Computational Social Science , 2009, Science.
[55] Munmun De Choudhury,et al. Big data and the well-being of women and girls: applications on the social scientific frontier , 2017 .