Dense Region Detection of Streaming Social Media Datasets using Blockchain-based Secure Computation
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The popularity of blockchain technology is increasing day by day, and it has a widespread usage as a reliable database structure. Blockchain has been utilized across a wide range of industries, such as IoT, social media, robotics, government, supply chain, and healthcare. As the usage of blockchain is emerged in social media studies, the problem of storing and analyzing streaming social media data in a safe, anonymous, and reliable manner is emerged. Within the scope of this problem, in this study, the adaptation of the streaming social media dataset to the blockchain systems and analysis of this data are carried out. A new algorithm of Dense Region Detection Algorithm (DRDA) is proposed to detect dense social regions of urban areas. Streaming data are collected from New York City, and the proposed DRDA is performed by miners to determine the dense regions of New York. As a result, dense regions with intensive tweet sharing in New York are detected and discussed. © 2022 IEEE.
Açıklama
3rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- Ankara -- 185735
Anahtar Kelimeler
blockchain, dense region analysis, social media, streaming data analysis
Kaynak
3rd International Informatics and Software Engineering Conference, IISEC 2022
WoS Q Değeri
Scopus Q Değeri
N/A
