scholarly journals Investigation of Travel and Activity Patterns Using Location-based Social Network Data: A Case Study of Active Mobile Social Media Users

2015 ◽  
Vol 4 (3) ◽  
pp. 1512-1529 ◽  
Author(s):  
Yeran Sun ◽  
Ming Li
Author(s):  
Mohammed Zuhair Al-Taie ◽  
Seifedine Kadry ◽  
Joel Pinho Lucas

<span lang="EN-US">Besides the Internet search facility and e-mails, social networking is now one of the three best uses of the Internet. A tremendous number of volunteers every day write articles, share photos, videos and links at a scope and scale never imagined before. However, because social network data are huge and come from heterogeneous sources, the data are highly susceptible to inconsistency, redundancy, noise, and loss. For data scientists, preparing the data and getting it into a standard format is critical because the quality of data is going to directly affect the performance of mining algorithms that are going to be applied next. Low-quality data will certainly limit the analysis and lower the quality of mining results. To this end, the goal of this study is to provide an overview of the different phases involved in data preprocessing, with a focus on social network data. As a case study, we will show how we applied preprocessing to the data that we collected for the Malaysian Flight MH370 that disappeared in 2014.</span>


Author(s):  
Konstantinos Vassakis ◽  
Emmanuel Petrakis ◽  
Ioannis Kopanakis ◽  
John Makridis ◽  
George Mastorakis

2019 ◽  
Vol 52 (1) ◽  
pp. 1-39 ◽  
Author(s):  
Thiago H. Silva ◽  
Aline Carneiro Viana ◽  
Fabrício Benevenuto ◽  
Leandro Villas ◽  
Juliana Salles ◽  
...  

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