Estimating the Distribution of Economy Activity: A Case Study in Jiangsu Province (China) Using Large Scale Social Network Data

2014 ◽  
Author(s):  
Chang Xiaomeng ◽  
Lu Guozhen ◽  
Yue Yang ◽  
Li Qingquan
Keyword(s):  
Social Network ◽  
Large Scale ◽  
Jiangsu Province ◽  
Network Data ◽  
Social Network Data

scholarly journals Online Data Preprocessing: A Case Study Approach

2019 ◽  
Vol 9 (4) ◽  
pp. 2620
Author(s):  
Mohammed Zuhair Al-Taie ◽  
Seifedine Kadry ◽  
Joel Pinho Lucas
Keyword(s):  
Social Network ◽  
Data Preprocessing ◽  
Quality Data ◽  
The Internet ◽  
Network Data ◽  
Quality Of Data ◽  
Standard Format ◽  
Social Network Data

<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>

Learning Distilled Graph for Large-Scale Social Network Data Clustering

2020 ◽  
Vol 32 (7) ◽  
pp. 1393-1404
Author(s):  
Wenhe Liu ◽  
Dong Gong ◽  
Mingkui Tan ◽  
Javen Qinfeng Shi ◽  
Yi Yang ◽  
...  
Keyword(s):  
Social Network ◽  
Data Clustering ◽  
Large Scale ◽  
Network Data ◽  
Social Network Data
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