Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6873155 | Future Generation Computer Systems | 2018 | 8 Pages |
Abstract
Social data is one of important material for representing social activities. However, efficiently collecting social data from multiple sources is extremely hard due its big-data attributes. Moreover, discovering hidden patterns between social data to understand our society is actually a big challenge. Especially, knowledge around us is not stable but dynamically change over time, therefore, we need to refresh it promptly. SocioScope is created as an automatically tool to overcome aforementioned problems. In addition, other researchers can utilize SocioScope as a framework for reducing their effort time with essential tasks (i.e., collecting data, pre-processing data, and analyzing data).
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Hoang Long Nguyen, Jai E. Jung,