@inproceedings{65d3cd0197f7484fb048995b2f92fd5b,
title = "Reality mining with mobile data: Understanding the impact of network structure on propagation dynamics",
abstract = "Recent studies have increasingly turned to graph theory to model Realistic Contact Networks (RCNs) for characterizing propagation dynamics. Several of these studies have demonstrated that RCNs are best described as having exponential degree distributions. In this article, based on the mobile data gathered from in-vehicle wireless devices, we show that RCNs do not always have exponential degree distributions, especially in dynamic environments. On this basis, a model is designed to recognize the structure of networks. Based on the model, we investigate the impacts of network structure on disease dynamics that is an important empirical study to the propagation dynamics. The time-varying infected number R is the important parameter that is used to quantify the disease dynamics. In this study, the prediction accuracy for R is improved by utilizing realistic structural knowledge mined by our recognition model.",
keywords = "Mobile data, Propagation dynamics, Reality mining, Structural knowledge",
author = "Yuanfang Chen and Noel Crespi and Lei Shu and \{Myoung Lee\}, Gyu",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015 ; Conference date: 18-11-2015 Through 20-11-2015",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-27140-8\_31",
language = "English",
isbn = "9783319271392",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "442--461",
editor = "Albert Zomaya and Perez, \{Gregorio Martinez\} and Kenli Li and Guojun Wang",
booktitle = "Algorithms and Architectures for Parallel Processing - 15th International Conference, ICA3PP 2015, Proceedings",
}