NoSQL Database Design for SNS Profiling in Criminal Investigations
MLA Style: Jiyeon Kim, Minsun Shim, Seyoung Jin, Seung Hoon Lee, In Soo Lee, Myuhng-Joo Kim "NoSQL Database Design for SNS Profiling in Criminal Investigations" International Journal of Engineering Trends and Technology 68.11(2020):105-112.
APA Style:Jiyeon Kim, Minsun Shim, Seyoung Jin, Seung Hoon Lee, In Soo Lee, Myuhng-Joo Kim. NoSQL Database Design for SNS Profiling in Criminal Investigations International Journal of Engineering Trends and Technology, 68(11),105-112.
Social Network Service (SNS) is an online platform for users to communicate and share their interests. As the number of SNS users increases, profiling techniques that collect and analyze user information from SNS have emerged. SNS profiling enables creating personal information of the users and analyzing their interests through their posts, comments, and page likes. SNS profiling has been mainly used as a marketing tool to recommend products through analysis of customer interests. However, SNS profiling has recently been used for various other purposes. In this work, we focus on the use of SNS profiling for criminal investigations. We design a database to store information collected from SNS and propose a model for event profiling. In the database, we create tables of people, events, SNS users, and posts based on NoSQL, a non-relational database, and build a database using DynamoDB. In addition, we conducted a case study for profiling events based on the proposed model.
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SNS profiling, user profiling, event profiling, social network service, open-source intelligence, criminal investigations