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Human-centric sensing

M. Srivastava, T. Abdelzaher, B. Szymanski
2011 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
Social networking platforms emerged, such as Twitter, that allow sharing information in real time.  ...  This paper surveys the important opportunities in human-centric sensing, identifies challenges brought about by such opportunities and describes emerging solutions to these challenges.  ...  1040380 and CNS-0627084, by the NSF Center for Embedded Networked Sensing at UCLA, and by the Army Research Laboratory, and accomplished under Cooperative Agreement number W911NF-09-2-0053.  ... 
doi:10.1098/rsta.2011.0244 pmid:22124088 fatcat:vecunv6n3jc7ro7dommembctha

A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development

Anqi Wang, Anshu Zhang, Edwin H.W. Chan, Wenzhong Shi, Xiaolin Zhou, Zhewei Liu
2020 ISPRS International Journal of Geo-Information  
These studies contribute to (1) discovering the spatial-temporal phenomenon, (2) identifying the difference in human behaviour or spatial attributes, (3) explaining the dynamic of mobility, and (4) applying  ...  Focusing on Human Mobility, one of the most frequently investigated applications of big data analytics, a framework for linking international academic research and city-level management policy was established  ...  Social, economic, and behavioural theories are conductive to understanding the dynamics of human behaviour.  ... 
doi:10.3390/ijgi10010013 fatcat:inl7acoekrgcdknlpds37jbzyy

Data science approaches to infectious disease surveillance

Qingpeng Zhang
2021 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
Compared to conventional public health research, articles in this issue present innovative data science approaches that were not possible without the growing human behaviour data and the recent advances  ...  This issue has 12 research papers and one review paper from a strong lineup of contributors from multiple disciplines, including data science, computer science, computational social sciences, applied maths  ...  Three papers focus on modelling human mobility for infectious disease monitoring and control.  ... 
doi:10.1098/rsta.2021.0115 pmid:34802266 pmcid:PMC8607141 fatcat:fcwoydx25reerjgvdidqngibrm

Emerging Network-Based Tools in Movement Ecology

David M.P. Jacoby, Robin Freeman
2016 Trends in Ecology & Evolution  
We suggest that network theory can be used to model and predict the influence of 33 ecological and environmental parameters on animal movement, focusing on spatial and 34 social connectivity, with fundamental  ...  and behavioural 32 insights.  ...  Farine and one anonymous reviewer for their helpful 337 feedback on earlier drafts of the manuscript. Both authors acknowledge core mission 338 funding from the Zoological Society of London. 339  ... 
doi:10.1016/j.tree.2016.01.011 pmid:26879670 fatcat:g3wqwlvygve55l2ubkb3jz3cwm

Anticipatory Mobile Computing

Veljko Pejovic, Mirco Musolesi
2015 ACM Computing Surveys  
We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions.  ...  Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more.  ...  Acknowledgements The authors thank Mihai Nadin from UT Dallas for a thoughtful discussion about anticipatory computing.  ... 
doi:10.1145/2693843 fatcat:lc5i5634jzcy3obk6lcx46jg3q

Assessing reliable human mobility patterns from higher order memory in mobile communications

Joan T. Matamalas, Manlio De Domenico, Alex Arenas
2016 Journal of the Royal Society Interface  
Mobile phone records provide an excellent proxy of human mobility, showing that movements exhibit a high level of memory.  ...  Here we use 560 millions of call detail records from Senegal to show that standard Markovian approaches, including higher-order ones, fail in capturing real mobility patterns and introduce spurious movements  ...  Adaptive memory model of human mobility However, spatial human mobility is quite complex and (higher order) Markovian dynamics might not be suitable to model peculiar patterns such as returning visits  ... 
doi:10.1098/rsif.2016.0203 pmid:27581479 pmcid:PMC5014054 fatcat:5vseuzdolrhbhfjruzhe7wdkwa

Using Future Internet Infrastructure and Smartphones for Mobility Trace Acquisition and Social Interactions Monitoring [chapter]

Athanasios Antoniou, Evangelos Theodoridis, Ioannis Chatzigiannakis, Georgios Mylonas
2012 Lecture Notes in Computer Science  
in evaluating and fine-tuning realistic mobility models and designing human-centric applications.  ...  We argue here that current IoT infrastructure, testbeds and related software technologies should be used in such a context, capturing real-world human mobility and social networking interactions, for use  ...  author(s) and source are credited.  ... 
doi:10.1007/978-3-642-30241-1_11 fatcat:ftu7obk4kbhtvh5dnfi75xha7i

Human mobility model based on time-varying bipartite graph

Matteo Zignani
2011 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks  
For my PhD research I propose a new mobility model able to properly reproduce the spatial, temporal and social features that can be observed in real mobility datasets.  ...  The most important goal in the mobility model research area is to provide a tool that can capture the most important and relevant features regarding both physical and social dimensions.  ...  Most of these models carefully reproduce many mobility patterns found in real traces; nevertheless they mainly focus on individual behaviours and do not consider any social interaction between nodes. •  ... 
doi:10.1109/wowmom.2011.5986376 dblp:conf/wowmom/Zignani11 fatcat:w2jcxrlso5ffdhfdbsjciitcai

Contact structure, mobility, environmental impact and behaviour: the importance of social forces to infectious disease dynamics and disease ecology

Ronan F. Arthur, Emily S. Gurley, Henrik Salje, Laura S. P. Bloomfield, James H. Jones
2017 Philosophical Transactions of the Royal Society of London. Biological Sciences  
These areas are social mixing and structure, space and mobility, geography and environmental impact, and behaviour and behaviour change.  ...  Subject Areas: health and disease and epidemiology Human factors, including contact structure, movement, impact on the environment and patterns of behaviour, can have significant influence on the emergence  ...  Human mobility, as inferred from cell phone usage data, has explained patterns of malaria and rubella disease in Kenya, as well as dengue in Pakistan [61] [62] [63] .  ... 
doi:10.1098/rstb.2016.0454 pmid:28289265 pmcid:PMC5352824 fatcat:mkeyft2rl5hhbn5mj6oi2eymom

Extracting social and community intelligence from digital footprints

Bin Guo, Daqing Zhang, Zhiwen Yu, Francesco Calabrese
2012 Journal of Ambient Intelligence and Humanized Computing  
footprints'' to reveal the patterns of individual/group behaviours, social interactions, and community dynamics (e.g., city hot spots, traffic jams).  ...  The second paper, ''An Enhanced Community-based Mobility Model for Distributed Mobile Social Networks'', authored by Nikolaos Vastardis and Kun Yang addresses the problem of validation model design for  ... 
doi:10.1007/s12652-012-0116-0 fatcat:cmcvqmo73bhwjfppqis5iunugu

Malaria transmission modelling: a network perspective

Jiming Liu, Bo Yang, William K Cheung, Guojing Yang
2012 Infectious Diseases of Poverty  
how can we build a more effective surveillance mechanism for monitoring and early detecting the relative prevalence and transmission patterns of malaria?  ...  patterns/trends.  ...  Bo Yang would also like to acknowledge the support of Chinese Program for New Century Excellent Talents in University (NCET-11-0204).  ... 
doi:10.1186/2049-9957-1-11 pmid:23849949 pmcid:PMC3710080 fatcat:tbnavaeafrbzxl4gikr4bshqcq

Mobile cellular big data: linking cyberspace and the physical world with social ecology

Fengli Xu, Yong Li, Min Chen, Sheng Chen
2016 IEEE Network  
In addition, both human mobility and mobile traffic consumption are linked with the social ecology, which in return helps us to better understand human behaviour.  ...  We believe that the proposed big data processing and modeling methodology, combined with the empirical analysis on the mobile traffic, human mobility and social ecology, paves the way toward a deep understanding  ...  Future works can be carried out to model the temporal patterns of human behaviours with the social ecology in mind and to develop applications based on it, such as cellular network's dynamic load balancing  ... 
doi:10.1109/mnet.2016.7474338 fatcat:hzqulynknvf47muplxeyjcy66a

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.  ...  Brightkite social platform 3) 450 mil. phone calls dataset Modelling human mobility patterns and temporal dynamics Social event detection in massive mobile phone data using probabilistic  ...  of routes and POIs based on human mobility patterns.  ... 
doi:10.5281/zenodo.1477456 fatcat:zgxdgejcdjgxlgji6roswh22iq

Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life

Jonathan Liono, Zahraa S. Abdallah, A. K. Qin, Flora D. Salim
2018 Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services - MobiQuitous '18  
There are many challenges in analysing and modelling human mobility patterns within urban areas due to the ever-changing environments of mobile users.  ...  In this paper, we focus on simultaneous inference of transportation modes and human activities in daily life via modelling and inference from multivariate time series data, which are streamed from off-theshelf  ...  produce models for social link prediction.  ... 
doi:10.1145/3286978.3287006 dblp:conf/mobiquitous/LionoAQS18 fatcat:6pbottsiv5gypbvk6j5jl23hqi

Book Review: Behavior Computing: Modeling, Analysis, Mining and Decision

Suresh Sood
2012 The IEEE intelligent informatics bulletin  
Within mobile social networks, the mobile user interaction patterns change frequently and make the challenge of detecting changing patterns extremely difficult because humans have high degree of randomness  ...  Rounding out the body of knowledge is SURESH SOOD twitter user behaviour and data mining Advanced Analytics Institute, to discover or infer taxonomy from University of Technology Sydney, dynamic correlations  ... 
dblp:journals/cib/Sood12 fatcat:34jniyw7x5bu7jwwutybi3gcyi
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