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Contrasting social and non-social sources of predictability in human mobility [article]

Zexun Chen, Sean Kelty, Brooke Foucault Welles, James P. Bagrow, Ronaldo Menezes, Gourab Ghoshal
2021 arXiv   pre-print
Further, latent information about an individual's mobility can be present in the mobility patterns of both social and non-social ties, a distinction that has not yet been addressed.  ...  We apply entropy and predictability measures to analyse and bound the predictive information of an individual's mobility pattern and the flow of that information from their top social ties and from their  ...  Contrasting social and non-social sources of predictability in human  ... 
arXiv:2104.13282v1 fatcat:v6s3mkq4lzdwjg4ui5pviaojoy

From Mobile Phone Sensing to Human Geo-Social Behavior Understanding

Bin Guo, Yunji Liang, Zhiwen Yu, Minshu Li, Xingshe Zhou
2014 Computational intelligence  
In contrast to traditional social science, which suffers from the problems such as high data collection cost and imported user subjectivity, a new approach is presented to study social behaviors based  ...  the way we build computational models of human behaviour, and enable completely innovative services in areas like human health, public safety, city resource management, environment monitoring, and so  ...  Acknowledgements This work was partially supported by the National Basic Research Program of China  ... 
doi:10.1111/coin.12050 fatcat:6qdyf4sppnfd3nwxie5yhxxeke

Brief survey of Mobility Analyses based on Mobile Phone Datasets [article]

Carlos Sarraute, Martin Minnoni
2018 arXiv   pre-print
of human mobility.  ...  This is a brief survey of the research performed by Grandata Labs in collaboration with numerous academic groups around the world on the topic of human mobility.  ...  In contrast, paper [18] proposes a novel family of data-driven models, called MobHet, to predict human mobility using heterogeneous data sources.  ... 
arXiv:1812.01077v1 fatcat:b2qbg3npfnegziyo3n6q2uny4e

D2.2 Multi-Source Analytics Methodological Foundations

Suite5, SingularLogic, The Smile Of The Child, NTUA
2018 Zenodo  
This deliverable is related to the first release of the methodology, algorithms and examples for predictive analytics and analytics over the case under investigation merging data from multiple sources.  ...  of routes and POIs based on human mobility patterns.  ...  visit [54][59][60], detect social events [63] or travel sequences [61][68], even simulate and predict human mobility behaviour when lost in the wilderness [57][62].  ... 
doi:10.5281/zenodo.1477456 fatcat:zgxdgejcdjgxlgji6roswh22iq

Analyzing large-scale human mobility data: a survey of machine learning methods and applications

Eran Toch, Boaz Lerner, Eyal Ben-Zion, Irad Ben-Gal
2018 Knowledge and Information Systems  
collect human mobility data and to mine patterns of interest within these data in order to promote the development of location-based services and applications.  ...  Finally, we analyze the short-term trends and future challenges of human mobility analysis.  ...  Acknowledgements This work is supported by the Israeli Ministry of Science, Technology, and Space, Grant No. 3-8709: Learning and mining mobility patterns using stochastic models.  ... 
doi:10.1007/s10115-018-1186-x fatcat:nesak2c3uzhyvhynd5gv4vmeve

Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter [article]

Julie Jiang, Jesse Thomason, Francesco Barbieri, Emilio Ferrara
2022 arXiv   pre-print
mobility, the impact of real-world events, and more.  ...  aspects: affect -- sentiment and emotions, content -- textual and non-textual, and audience engagement.  ...  Bos, Neil Shah, and Yozen Liu for the helpful inputs and insights in the initial stages of this research. The research is partially supported by DARPA (award number HR001121C0169).  ... 
arXiv:2207.10887v1 fatcat:77kjbftuj5biflb2wzwdqmmqse

Correlation between social proximity and mobility similarity [article]

Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou
2016 arXiv   pre-print
Our analysis provides a novel view for better understanding the coupling between human online and offline behaviors, and will help model and predict human behaviors based on social proximity.  ...  Human behaviors exhibit ubiquitous correlations in many aspects, such as individual and collective levels, temporal and spatial dimensions, content, social and geographical layers.  ...  Acknowledgments We thank Hao Chen (Nankai University), Huawei Shen (Chinese Academy of Sciences) and Simon DeDeo (Santa Fe Institute) for valuable comments.  ... 
arXiv:1609.02669v1 fatcat:fn2fllxerbhwpah7l7t7m2tfrm

Correlation between social proximity and mobility similarity

Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou
2017 Scientific Reports  
It gains increasing interests in academia and industry to explore the mutual influence between human mobility and social connections, which has significant value in many fields such as location prediction  ...  The newly appeared data sources, like bank note, mobile phone, vehicle Global Positioning System (GPS) and Location-based Social Network (LBSN), make it possible to combine the study of human mobility  ...  Acknowledgements We thank Hao Chen (Nankai University), Huawei Shen (Chinese Academy of Sciences), Simon DeDeo (Santa Fe Institute) and anonymous reviewers for valuable comments.  ... 
doi:10.1038/s41598-017-12274-x pmid:28931900 pmcid:PMC5607281 fatcat:sxp7vwl3vvasnnszwqe2j2mrne

Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review

Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Amjad Hossain, G. G. Md. Nawaz Ali, Md. Shahinoor Rahman, Jean-Claude Thill
2021 IEEE Access  
Many studies have been conducted to predict the diffusion of the COVID-19 disease, assess the impacts of the pandemic on human mobility and on air quality, and assess the impacts of lockdown measures on  ...  The critical review of prior studies indicates that urban form, people's socioeconomic and physical conditions, social cohesion, and social distancing measures significantly affect human mobility and COVID  ...  In particular, factors of urban form, socioeconomic and physical conditions of people, social cohesion, and social distancing measures significantly influence human mobility and stimulate the diffusion  ... 
doi:10.1109/access.2021.3079121 pmid:34786314 pmcid:PMC8545207 fatcat:zpj7m7o5xvdslitzycrwzzsjvm


Ali A.J.Al-Sabbagh, Ruaa A.S.Alsabah, Ahmed.Y.Mjhool
2021 Zenodo  
Currently the integration of social and sensor is very important by considering the characteristics of social networks in designing wireless sensor networks WSN for improvement such as (number of messages  ...  from source to destination, radius of coverage, connectivity, and spreading).  ...  ACKNOWLEDGEMENT Our Team greatly appreciate Mr.Basim Al-khashab who is a PhD student in Florida tech (FIT), Florida, USA for discussions and valuable comments on the manuscript.  ... 
doi:10.5281/zenodo.4558669 fatcat:z54wycmtordxdkbavc4l3q5x2a

Job mobility of residents and migrants in urban China

John Knight, Linda Yueh
2004 Journal of comparative economics (Print)  
Acknowledgments The support of the Nuffield Foundation and the UK Department for International Development is acknowledged gratefully. We thank two referees and the Editor for their helpful comments.  ...  Those with more human and social capital have more opportunities, which may be reflected in greater mobility.  ...  The other human and social capital variables, namely, education, Party membership, and social network, 5 Question 137 in the questionnaire of the Household Survey of Rural Hukou Migrants asked: "What was  ... 
doi:10.1016/j.jce.2004.07.004 fatcat:2f6afqkfc5d3jhi3og6bldcjnq

Universal Components of Real-world Diffusion Dynamics based on Point Processes [article]

Minkyoung Kim and Raja Jurdak and Dean Paini
2017 arXiv   pre-print
Bursts in human and natural activities are highly clustered in time, suggesting that these activities are influenced by previous events within the social or natural system.  ...  Bursty behavior in the real world conveys information of underlying diffusion processes, which have been the focus of diverse scientific communities from online social media to criminology and epidemiology  ...  As human mobility increases, the fluxes of travellers from disease-endemic into non-endemic regions are likely to increase.  ... 
arXiv:1706.06282v2 fatcat:zpr72gg4zjbprl2s4hcdc2mo4q

Data-driven Computational Social Science: A Survey

Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong
2020 Big Data Research  
The complexity of research topics in social science makes it the amalgamation of multiple disciplines, such as economics, political science, and sociology, etc.  ...  In this paper, to the best of our knowledge, we present a survey on data-driven computational social science for the first time which primarily focuses on reviewing application domains involving human  ...  Other research on human mobility is performed from social media check-in data. Yang et al. [158] investigated the different mobility patterns between natives and non-natives.  ... 
doi:10.1016/j.bdr.2020.100145 fatcat:jazh5b3itfgmvh4pn37l4v5m7y

Inequality of Opportunity and Aggregate Economic Performance

Katharine Bradbury, Robert K. Triest
2016 RSF: The Russell Sage Foundation Journal of the Social Sciences  
The literature on the relationship between inequality of opportunity and economic growth is inconclusive.  ...  In contrast, there is a clear theoretical prediction that a reduction in inequality of opportunity will increase growth.  ...  In contrast, there is a clear theoretical prediction that a reduction in inequality of opportunity will increase growth. Empirical work is generally consistent with this prediction.  ... 
doi:10.7758/rsf.2016.2.2.08 fatcat:fvokmiwmbbbatgvgk6hxagkuye

Towards Real-Time Prediction of Unemployment and Profession [chapter]

Pål Sundsøy, Johannes Bjelland, Bjørn-Atle Reme, Eaman Jahani, Erik Wetter, Linus Bengtsson
2017 Lecture Notes in Computer Science  
By deriving a broad set of novel mobile phone network indicators reflecting users' financial, social and mobility patterns we show how machine learning models can be used to predict 18 categories of profession  ...  At a societal level unemployment is an important indicator of the performance of an economy and risks in financial markets.  ...  One of the most promising rich new data sources is mobile phone network logs [10, 11] , which have the potential to deliver near real-time information of human behavior on individual and societal scale  ... 
doi:10.1007/978-3-319-67256-4_2 fatcat:cpt7ujk3ezehnewzthumxnqmha
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